# 60 GHz Modular Antenna Array Link Budget Estimation with WiGig Baseband and Millimeter-Wave Specific Attenuation

Authors: Joongheon Kim; Liang Xian; Ali S. Sadri
Journal: International Journal of Antennas and Propagation
 (2017)

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## Abstract

This paper provides practical 60 GHz link budget estimation results with IEEE 802.11ad standard-defined parameters and 60 GHz specific attenuation factors. In addition, the parameters from currently developing modular antenna arrays (MAAs) are adopted for estimating the actual link budgets of our 60 GHz integrated MAA platforms. Based on the practical link budget analysis results, we can estimate fundamental limits in terms of achievable data rates over 60 GHz millimeter-wave wireless links.


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## Body

## 1. Introduction

Among the various requirements for next-generation wireless systems (for both cellular and access), achieving multigigabit/s data rates is one of key requirements, and millimeter-wave (mmWave) wireless technologies have been mainly considered to achieve this goal where the considering mmWave frequencies are 28 GHz [1], 38 GHz (or 39 GHz) [2, 3], 60 GHz [4], and 73 GHz [5] bands. The use of mmWave bands for next-generation wireless systems could offer ultra-wideband spectrum availability and increased channel capacity. All these benefits come at the expense of potentially greater system complexity particularly in terms of radio frequency (RF) front end and antenna design, but the recent advancements around mmWave wireless systems development have produced cost effective solutions that can be leveraged to overcome these challenges. Among the potential candidates in mmWave bands for future wireless systems, 60 GHz frequency is considered here because it is only one mmWave band which has its own standardized protocol, that is, the Wireless Gigabit Alliance (WiGig) standard which is equivalent to IEEE 802.11ad.In this paper, practical link budget estimation is performed based on WiGig/IEEE 802.11ad standard-defined modulation and coding scheme (MCS) modes and 60 GHz mmWave specific path-loss and auxiliary attenuation factors. The considered systems parameters for this link budget estimation are obtained from real-world hardware prototype which is now actively conducting research for next-generation mmWave mesh backhaul networks in industry.The remainder of this paper is organized as follows: Section2 introduces our real-world prototype for 60 GHz mmWave backhaul networks. Section 3 presents the details of link budget estimation procedure. Section 4 shows link budget estimation results and Section 5 concludes this paper.


## 2. 60 GHz Integrated MAA Platform

Traditional antenna system architectures are generally not capable of combining wide-angles with high directionality. To achieve the necessary wide directionality, the phased antenna arrays should consist of a large number of antenna elements. Nowadays, the phased antenna array architectures are widely used for mass production and intended for personal mobile devices comprising a single module containing RF integrated circuits (RFIC) chip that includes controlled analogue phase shifters capable of providing several phase shifting levels. The antenna elements are connected to the RFIC via feeding lines. According to the loss on the feeding lines, this approach allows implementing antenna arrays with limited dimensions of up to 8-by-8, thus achieving gains of about 15–20 dB.One of novel antenna array architectures for the 60 GHz band that provides simultaneous flexibility in form factor choice, beam steering, and high array gain in a conceivably more cost-efficient manner is to construct modular antenna arrays (MAAs). As shown in Figure1, the MAA architecture consists of baseband part and RF part. The baseband part is embedded in a computing platform. The data from the computing platform will be delivered to the baseband. The baseband part has baseband processing (which is for data processing and also for sending the data to RFIC) and beamforming unit (which is for forming beams toward one dedicated direction and also for setting phase shifting values for the RF beamformers in connected MAA modules). The phase shifting values for the RF beamformers in MAA modules are transmitted through interconnection control paths from baseband beamforming unit to MAA modules. Each module is implemented in a traditional way with dedicated RFIC serving 16 (i.e., 8-by-2) MAA elements through an RF beamformer. The RFIC receives data from baseband processing unit and sends the information to its own RF beamformer in order to transmit over 60 GHz mmWave wireless channels.Figure 1
High level block diagram of the proposed modular antenna array (MAA) architecture.The aperture of MAA and total transmitted power may exceed that of an individual MAA module proportionally to the number of the MAA modules used. Therefore, much narrower beams may be created and, thus, much greater antenna gains may be achieved with the MAA as opposed to individual subarrays. It is also possible that sectors of different subarrays may be configured in such a way as to vary the coverage angle of the composite array, thereby creating several coverage angles. Each MAA module has an 8-by-2 elements where the transmit power and the transmit antenna again are determined as 10 dBm and 15 dBi. In Figure2, currently developing integrated 8-module MAA prototype is presented.Figure 2
Integrated 60 GHz mmWave MAA architectures and snapshots.More various usage scenarios and details of the proposed MAA architectures are presented in [6].


## 3. Link Budget Estimation

The link budget estimation procedure is illustrated in Figure3. As shown in Figure 3, the transmitted signal from a transmitter MAA (Tx-MAA) toward a receiver MAA (Rx-MAA) over 60 GHz mmWave channels will be attenuated by path-loss, oxygen absorption, and rain effects depending on the distance between the Tx-MAA and the Rx-MAA. When the signal arrives at the Rx-MAA after experiencing attenuation effects, a receiver antenna gain will be added on top of the received signal strength. This procedure can be formulated as follows: (1)PdBmRxd=EIRPdBm-PLd-Od-Rd+GdBiRx,where PdBmRx(d) is a received signal strength at an Rx-MAA, EIRPdBm is equivalent isotropically radiated power (EIRP), the limit in USA is 43 dBm (peak) [7–9], PL(d) is path-loss depending on the separation distance between a Tx-MAA and an Rx-MAA d, O(d) is oxygen attenuation depending on the separation distance, R(d) is rain attenuation depending on the separation distance, and GdBiRx is a receive antenna gain at an Rx-MAA, respectively.Figure 3
Link budget calculation procedure.In WiGig/IEEE 802.11ad [10], supportable MCS indices and their corresponding data rates depending on receiver sensitivity values are defined in Tables21-3. The given Tables21-3 in WiGig/IEEE 802.11ad can be reproduced as Table 1 by reordering MCS values in terms of receiver sensitivity values. Moreover, if multiple MCS values are supportable in a specific receiver sensitivity value, the MCS value which can provide the highest achievable rate will be obviously used. Note that the reproduced Table 1 includes MCS Table Index values denoted as iMCS. In addition, single carrier (SC) based MCS features are mandatory (from MCS0 to MCS12) and orthogonal frequency division multiplexing (OFDM) based MCS features (from MCS13 to MCS24) and low-power SC-based MCS features (from MCS25 to MCS31) are optional in WiGig/IEEE 802.11ad [10].Table 1
WiGig/IEEE 802.11ad MCS Index Table (regenerated from Table21-3 in WiGig/IEEE 802.11ad [10]), assuming that (i) 5 dB implementation loss, (ii) 10 dB noise factor (Noise Figure), and (iii) packet error rate (PER) shall be less than 1% when the payload length is 4000 bytes.
Receiver
MCS index
SC-based MCS
Full MCS
Sensitivity
(Achievable rates, unit: Mbps)
(Mandatory SC)
(Including optional OFDM)
-
78 dBm
MCS0 (27.5)
MCS0 (iMCS=1)
MCS0 (iMCS=1)
-
68 dBm
MCS1 (385)
MCS1 (iMCS=2)
MCS1 (iMCS=2)
-
66 dBm
MCS2 (770), MCS13 (693)
MCS2 (iMCS=3)
MCS2 (iMCS=3)
-
65 dBm
MCS3 (962.5)
MCS3 (iMCS=4)
MCS3 (iMCS=4)
-
64 dBm
MCS4 (1155), MCS14 (866.25), MCS25 (626)
MCS4 (iMCS=5)
MCS4 (iMCS=5)
-
63 dBm
MCS6 (1540), MCS15 (1386)
MCS6 (iMCS=6)
MCS6 (iMCS=6)
-
62 dBm
MCS5 (1251.25), MCS7 (1925), MCS16 (1732.5)
MCS7 (iMCS=7)
MCS7 (iMCS=7)
-
61 dBm
MCS8 (2310)
MCS8 (iMCS=8)
MCS8 (iMCS=8)
-
60 dBm
MCS17 (2079), MCS26 (834)
—
—
-
59 dBm
MCS9 (2502.5)
MCS9 (iMCS=9)
MCS9 (iMCS=9)
-
58 dBm
MCS18 (2772)
—
MCS18 (iMCS=10)
-
57 dBm
MCS27 (1112), MCS28 (1251), MCS29 (1668), MCS30 (2224), MCS31 (2503)
—
—
-
56 dBm
MCS19 (3465)
—
MCS19 (iMCS=11)
-
55 dBm
MCS10 (3080)
MCS10 (iMCS=10)
—
-
54 dBm
MCS11 (3850), MCS20 (4158)
MCS11 (iMCS=11)
MCS20 (iMCS=12)
-
53 dBm
MCS12 (4620), MCS21 (4504.5)
MCS12 (iMCS=12)
MCS12 (iMCS=13)
-
51 dBm
MCS22 (5197.5)
—
MCS22 (iMCS=14)
-
49 dBm
MCS23 (6237)
—
MCS23 (iMCS=15)
-
47 dBm
MCS24 (6756.75)
—
MCS24 (iMCS=16)If the calculated received signal strength at an Rx-MAA by (1) is higher than the receiver sensitivity of an MCS Table Index iMCS and lower than the receiver sensitivity of MCS Table Index iMCS+1, the 60 GHz WiGig/IEEE 802.11ad wireless communication link should use MCS Table Index iMCS. Therefore, if the distance of the wireless communication link is getting longer, PdBmRx(d) becomes lower due to attenuation factors (i.e., path-loss, oxygen, and rain) as shown in Figure 3; then the index of supportable MCS becomes lower as well. This lower MCS introduces more robust modulation and coding schemes; however, it also introduces lower physical data rates. This calculation procedure is summarized in Algorithm 1. In addition, the following sections include the detailed calculation procedures of EIRP (refer to Section 3.1), path-loss (refer to Section 3.2), mmWave specific attenuation (refer to Section 3.3), and receiver antenna gain (refer to Section 3.4).Algorithm 1:Link budget estimation when the distance between Tx-MAA and Rx-MAA is d m.
Parameter Definition
(i) iMCS: MCS Table Index in Table 1;
(ii) iMCSmax: maximum MCS Table Index, i.e.,
i
M
C
S
m
a
x
←
12 if SC-based MCS is used and
i
M
C
S
m
a
x
←
16 if Full MCS is used;
(iii) PiMCSrs: Receiver sensitivity of iMCS;
(iv) M∗: Supportable MCS;
(v) R∗: Supportable data rate;
Algorithm Description
(i) α↚1
(ii) Received signal strength calculation with (1) and d: P∗
if
P
∗
<
P
1
r
s
then
(a) P∗ is too low, i.e., M∗← N/A and R∗=0 Gbps
(b) α←1
end
if  P∗≥PiMCSmaxrsthen
(a) P∗ is good enough for maximum MCS and rates, i.e.,
M
∗
←
12 and R∗←4.62 Gbps in SC-based MCS; and
M
∗
←
24 and R∗←6.75675 Gbps in Full MCS
(b) α←1
end
if  α≠1then
(a) iMCS←2
while
i
M
C
S
≤
i
M
C
S
m
a
x  do
if  P∗<PiMCSrs  then
(
1
)
k
←
i
M
C
S
-
1
(
2
)
M
∗ is the MCS where iMCS←k
(
3
)
R
∗ is the rates of MCS level M∗
end
(b)iMCS←iMCS+1
end
end


### 3.1. EIRP

In (1), EIRPdBm can be calculated as follows: (2)EIRPdBm=GdBiTx+PdBmTx,where GdBiTx and PdBmTx are a transmit antenna gain and a transmit power at a Tx-MAA. In 1-module Tx-MAA (Tx-MAA1), GdBiTx and PdBmTx are 15 dBi and 10 dBm. In addition, GdBiTx in 8-module MAA (Tx-MAA8) and PdBmTx in Tx-MAA8 are 24 dBi and 19 dBm, respectively.


### 3.2.60 GHz mmWave Path-Loss Models

Two different 60 GHz path-loss models are considered in this link budget estimation study: (i) LoS scenario and (ii) street canyon scenario.The 60 GHzLoS path-loss is [11, 12] (3)PLd=92.44+20log10f+10nlog10dand the 60 GHzstreet canyon (illustrated in Figure 4) path-loss is as follows [11]: (4)PLd=82.02+10nlog10dd0d0=5,where d is a distance between Tx-MAA and Rx-MAA (unit: meter); f is a carrier frequency in a GHz scale; n is a path-loss coefficient, where (5)n=2.00,in  an  LoS  scenario11,12,2.36,in  a  street  canyon  scenario11.Figure 4
Illustration of street canyon access [11].


### 3.3. mmWave Specific Attenuation Factors

As explained in [12], attenuation by atmospheric gases (i.e., oxygen attenuation) and by rain must be considered in millimeter-wave propagation.The oxygen attenuationO(d) is observed as 16 dB/Km [13]: that is, O(d)=16·d/1000, where d is a distance between Tx-MAA and Rx-MAA in a meter scale.The rain attenuation factors depend on the rain climatic zones that are segmented and measured by the International Telecommunication Union (ITU) [14]. Table 1 in [14] presents rain rates depending on the segmented areas (from ITU RegionA to ITU RegionQ). In this paper, ITU RegionD (Northern California (CA), Oregon (OR), and Washington (WA)), ITU RegionP (heavy rain areas such as Brazil), and ITU RegionQ (heavy rain areas such as Middle Africa) are of interest. Table 2 presents the rain rates of ITU regionsD,P, andQ (unit: mm/h) and their corresponding rate attenuation factors (unit: dB/Km) based on [15] and Figure 5.Table 2
Rain rates (unit: mm/h, i.e., millimeter per hour) and their corresponding attenuation factors (unit: dB/Km, i.e., decibel per kilometer) at 60 GHz depending on rain climatic zones (especially for ITU RegionsD, P, and Q) [14].
ITU region
99.0%
99.9%
availability
availability
ITU RegionD
2.1 mm/h
8 mm/h
(Northern CA, OR, WA)
(1.2 dB/Km)
(3.5 dB/Km)
ITU RegionP [heavy rain areas]
12 mm/h
65 mm/h
(Brazil and so on)
(5 dB/Km)
(21 dB/Km)
ITU RegionQ [heavy rain areas]
24 mm/h
72 mm/h
(Middle Africa and so on)
(9 dB/Km)
(25 dB/Km)Figure 5
Rain attenuation factor estimation from FCC measurement results [15].


### 3.4. Receiver Antenna Gain

The receiver antenna gainGdBiRx is equal to GdBiTx in Section 3.1 because equivalent MAA antenna systems are used for both Tx-MAA and Rx-MAA. Therefore, GdBiRx values are 15 dBi and 24 dBi in Rx-MAA1 and Rx-MAA8, respectively.


## 3.1. EIRP

In (1), EIRPdBm can be calculated as follows: (2)EIRPdBm=GdBiTx+PdBmTx,where GdBiTx and PdBmTx are a transmit antenna gain and a transmit power at a Tx-MAA. In 1-module Tx-MAA (Tx-MAA1), GdBiTx and PdBmTx are 15 dBi and 10 dBm. In addition, GdBiTx in 8-module MAA (Tx-MAA8) and PdBmTx in Tx-MAA8 are 24 dBi and 19 dBm, respectively.


## 3.2.60 GHz mmWave Path-Loss Models

Two different 60 GHz path-loss models are considered in this link budget estimation study: (i) LoS scenario and (ii) street canyon scenario.The 60 GHzLoS path-loss is [11, 12] (3)PLd=92.44+20log10f+10nlog10dand the 60 GHzstreet canyon (illustrated in Figure 4) path-loss is as follows [11]: (4)PLd=82.02+10nlog10dd0d0=5,where d is a distance between Tx-MAA and Rx-MAA (unit: meter); f is a carrier frequency in a GHz scale; n is a path-loss coefficient, where (5)n=2.00,in  an  LoS  scenario11,12,2.36,in  a  street  canyon  scenario11.Figure 4
Illustration of street canyon access [11].


## 3.3. mmWave Specific Attenuation Factors

As explained in [12], attenuation by atmospheric gases (i.e., oxygen attenuation) and by rain must be considered in millimeter-wave propagation.The oxygen attenuationO(d) is observed as 16 dB/Km [13]: that is, O(d)=16·d/1000, where d is a distance between Tx-MAA and Rx-MAA in a meter scale.The rain attenuation factors depend on the rain climatic zones that are segmented and measured by the International Telecommunication Union (ITU) [14]. Table 1 in [14] presents rain rates depending on the segmented areas (from ITU RegionA to ITU RegionQ). In this paper, ITU RegionD (Northern California (CA), Oregon (OR), and Washington (WA)), ITU RegionP (heavy rain areas such as Brazil), and ITU RegionQ (heavy rain areas such as Middle Africa) are of interest. Table 2 presents the rain rates of ITU regionsD,P, andQ (unit: mm/h) and their corresponding rate attenuation factors (unit: dB/Km) based on [15] and Figure 5.Table 2
Rain rates (unit: mm/h, i.e., millimeter per hour) and their corresponding attenuation factors (unit: dB/Km, i.e., decibel per kilometer) at 60 GHz depending on rain climatic zones (especially for ITU RegionsD, P, and Q) [14].
ITU region
99.0%
99.9%
availability
availability
ITU RegionD
2.1 mm/h
8 mm/h
(Northern CA, OR, WA)
(1.2 dB/Km)
(3.5 dB/Km)
ITU RegionP [heavy rain areas]
12 mm/h
65 mm/h
(Brazil and so on)
(5 dB/Km)
(21 dB/Km)
ITU RegionQ [heavy rain areas]
24 mm/h
72 mm/h
(Middle Africa and so on)
(9 dB/Km)
(25 dB/Km)Figure 5
Rain attenuation factor estimation from FCC measurement results [15].


## 3.4. Receiver Antenna Gain

The receiver antenna gainGdBiRx is equal to GdBiTx in Section 3.1 because equivalent MAA antenna systems are used for both Tx-MAA and Rx-MAA. Therefore, GdBiRx values are 15 dBi and 24 dBi in Rx-MAA1 and Rx-MAA8, respectively.


## 4. Link Budget Estimation Results

The link budget estimation performs with three different network scenarios as illustrated in Figure6, that is, (i) peer-to-peer (P2P) links where each peer has MAA1 (i.e., MAA1-MAA1 link); (ii) AP-to-DEV (device) links where each AP and each DEV have MAA8 and MAA1 (i.e., MAA8-MAA1 link); and (iii) backhaul links where each backhaul base station (BS) has MAA8 (i.e., MAA8-MAA8 link). Note that the scenario of AP-to-DEV links is equivalent with the scenario of cellular links where a BS has MAA8 and a mobile user has MAA1.Figure 6
Link budget analysis scenarios with MAA.
(a)
Peer-to-peer link (MAA1-MAA1)
(b)
AP-DEV link (MAA8-MAA1)
(c)
Backhaul link (MAA8-MAA8)


### 4.1. Link Budget Estimation

With the given three scenarios, link budget estimation performs depending on two different path-loss models, different ITU regional segments (no rain case, ITU RegionD, ITU RegionP, and ITU RegionQ), and different availability probabilities in each regional segments (99.0% or 99.9%). After performing all possible combinations of link budget estimation, various achievable distances depending on various target data rates (1 Gbps, 2 Gbps, 3 Gbps, and 4 Gbps for mandatory SC-based MCS; and 1 Gbps, 2 Gbps, 3 Gbps, 4 Gbps, 5 Gbps, and 6 Gbps for full MCS) are calculated as presented in Table 3. From Table 3, some remarkable facts are as follows:(i)
In an MAA1-MAA1 link, 1 Gbps rates are achievable up to maximum 56.80 m (in LoS scenario and no rain) and minimum 36.84 m (in a street canyon scenario and ITU RegionQ with 999% availability).(ii)
In an MAA8-MAA1 link, 1 Gbps rates are achievable up to maximum 292.37 m (in LoS scenario and no rain) and minimum 140.76 m (in a street canyon scenario and ITU RegionQ with 999% availability).(iii)
In an MAA8-MAA8 backhaul link, 1 Gbps rates are achievable up to maximum 530.97 m (in LoS scenario and no rain) and minimum 233.62 m (in a street canyon scenario and ITU RegionQ with 999% availability).Table 3
Achievable distances (unit: meter) for target data rates.
Scenario
Path-loss
ITU region
SC-based MCS
Full (SC-based and OFDM-based) MCS
4 Gbps
3 Gbps
2 Gbps
1 Gbps
6 Gbps
5 Gbps
4 Gbps
3 Gbps
2 Gbps
1 Gbps
MAA1-MAA1 (Figure6(a))
LoS
No rains
17.22
21.51
41.37
56.80
10.99
13.76
19.25
24.02
41.37
56.80
D (99.0%)
17.17
21.44
41.15
56.40
10.98
13.74
19.20
23.94
41.15
56.40
P (99.0%)
17.05
21.25
40.48
55.19
10.92
13.66
19.04
23.71
40.48
55.19
Q (99.0%)
16.93
21.06
39.81
53.99
10.87
13.57
18.89
23.46
39.81
53.99
D (99.9%)
17.10
21.33
40.74
55.66
10.94
13.69
19.10
23.80
40.74
55.66
P (99.9%)
16.56
20.50
37.98
50.80
10.71
13.34
18.43
22.78
37.98
50.80
Q (99.9%)
16.44
20.33
37.42
49.84
10.66
13.26
18.29
22.57
37.42
49.84
Street canyon
No rains
14.27
17.26
30.38
40.09
9.73
11.78
15.70
18.98
30.38
40.09
D (99.0%)
14.25
17.23
30.27
39.92
9.71
11.77
15.67
18.94
30.27
39.92
P (99.0%)
14.17
17.12
29.96
39.38
9.68
11.72
15.58
18.81
29.96
39.38
Q (99.0%)
14.10
17.01
29.63
38.83
9.64
11.67
15.49
18.68
29.63
38.83
D (99.9%)
14.20
17.17
30.08
39.59
9.69
11.74
15.62
18.86
30.08
39.59
P (99.9%)
13.88
16.70
28.71
37.31
9.54
11.51
15.23
18.30
28.71
37.31
Q (99.9%)
13.81
16.60
28.43
36.84
9.51
11.46
15.14
18.18
28.43
36.84
MAA8-MAA1 (Figure6(b))
LoS
No rains
114.37
137.89
231.53
292.37
77.27
94.28
125.68
151.01
231.53
292.37
D (99.0%)
112.91
135.83
226.49
284.95
76.56
93.25
123.95
148.60
226.49
284.95
P (99.0%)
108.59
129.86
212.29
264.38
74.42
90.18
118.86
141.62
212.29
264.38
Q (99.0%)
104.51
124.30
199.65
246.46
72.34
87.25
114.08
135.17
199.65
246.46
D (99.9%)
110.24
132.13
217.61
272.03
75.24
91.36
120.80
144.27
217.61
272.03
P (99.9%)
94.43
110.85
171.11
207.23
66.97
79.82
102.41
119.75
171.11
207.23
Q (99.9%)
91.62
107.18
163.74
197.36
65.42
77.71
99.19
115.58
163.74
197.36
Street canyon
No rains
75.17
89.36
146.70
185.14
52.68
63.01
81.98
97.29
146.70
185.14
D (99.0%)
74.58
88.55
144.69
182.10
52.39
62.59
81.29
96.34
144.69
182.10
P (99.0%)
72.80
86.11
138.80
173.30
51.47
61.32
79.21
93.50
138.80
173.30
Q (99.0%)
71.06
83.74
133.27
165.20
50.56
60.05
77.18
90.76
133.27
165.20
D (99.9%)
73.48
87.04
141.05
176.63
51.83
61.81
80.01
94.59
141.05
176.63
P (99.9%)
66.48
77.62
119.73
145.95
48.08
56.66
71.88
83.71
119.73
145.95
Q (99.9%)
65.13
75.84
115.98
140.76
47.33
55.65
70.32
81.68
115.98
140.76
MAA8-MAA8 (Figure6(c))
LoS
No rains
250.75
292.37
442.46
530.97
180.17
213.37
271.03
314.78
442.46
530.97
D (99.0%)
244.99
284.95
428.17
512.15
176.89
208.98
264.48
306.42
428.17
512.15
P (99.0%)
228.85
264.38
389.66
462.05
167.48
196.54
246.21
283.35
389.66
462.05
Q (99.0%)
214.59
246.46
357.37
420.70
158.92
185.39
230.19
263.39
357.37
420.70
D (99.9%)
234.87
272.03
403.78
480.32
171.03
201.21
253.01
291.90
403.78
480.32
P (99.9%)
182.72
207.23
290.28
336.60
138.93
159.94
194.77
220.11
290.28
336.60
Q (99.9%)
174.57
197.36
274.10
316.68
133.63
153.30
185.78
209.30
274.10
316.68
Street canyon
No rains
158.73
185.14
284.64
346.38
115.03
135.43
171.54
199.57
284.64
346.38
D (99.0%)
156.41
182.10
278.27
337.57
113.73
133.69
168.88
196.10
278.27
337.57
P (99.0%)
149.66
173.30
260.36
313.14
109.90
128.57
161.16
186.12
260.36
313.14
Q (99.0%)
143.35
165.20
244.49
291.87
106.23
123.73
154.00
176.98
244.49
291.87
D (99.9%)
152.23
176.63
267.06
322.22
111.37
130.52
164.08
189.89
267.06
322.22
P (99.9%)
128.08
145.95
208.85
245.33
96.99
111.76
136.82
155.47
208.85
245.33
Q (99.9%)
123.89
140.76
199.68
233.62
94.37
108.43
132.15
149.72
199.68
233.62


### 4.2. Performance Reduction due to Various Rain Attenuation Factors

Table4 presents the performance degradation ratio due to various rain attenuation factors. The data in Table 4 can be calculated as follows: (6)γ=δno-rain-δ∗δno-rain×100,where δno-rain stands for the achievable distance (from Table 3) when there is no rain and δ∗ stands for the achievable distance (from Table 3) for specific thresholds, regions, and availability probabilities. By calculating γ (presented in Table 4), we can determine how much rain attenuation affects the achievable distance reduction.Table 4
Performance reduction depending on various regions and rain rates (calculated based on the data from Table3).
Scenario
Path-loss
ITU region
SC-based MCS
Full (SC-based and OFDM-based) MCS
4 Gbps
3 Gbps
2 Gbps
1 Gbps
6 Gbps
5 Gbps
4 Gbps
3 Gbps
2 Gbps
1 Gbps
MAA1-MAA1 (Figure6(a))
LoS
D (99.0%)
0.29%
0.33%
0.53%
0.70%
0.09%
0.15%
0.26%
0.33%
0.53%
0.70%
P (99.0%)
0.99%
1.21%
2.15%
2.83%
0.64%
0.73%
1.09%
1.29%
2.15%
2.83%
Q (99.0%)
1.68%
2.09%
3.77%
4.95%
1.09%
1.38%
1.87%
2.33%
3.77%
4.95%
D (99.9%)
0.70%
0.84%
1.52%
2.01%
0.45%
0.51%
0.78%
0.92%
1.52%
2.01%
P (99.9%)
3.83%
4.70%
8.19%
10.56%
2.55%
3.05%
4.26%
5.16%
8.19%
10.56%
Q (99.9%)
4.53%
5.49%
9.55%
12.25%
3.00%
3.63%
4.99%
6.04%
9.55%
12.25%
Street canyon
D (99.0%)
0.14%
0.17%
0.36%
0.42%
0.21%
0.08%
0.19%
0.21%
0.36%
0.42%
P (99.0%)
0.70%
0.81%
1.38%
1.77%
0.51%
0.51%
0.76%
0.90%
1.38%
1.77%
Q (99.0%)
1.19%
1.44%
2.47%
3.14%
0.92%
0.93%
1.34%
1.58%
2.47%
3.14%
D (99.9%)
0.49%
0.52%
0.99%
1.25%
0.41%
0.34%
0.51%
0.63%
0.99%
1.25%
P (99.9%)
2.73%
3.24%
5.50%
6.93%
1.95%
2.29%
2.99%
3.58%
5.50%
6.93%
Q (99.9%)
3.22%
3.82%
6.42%
8.11%
2.26%
2.72%
3.57%
4.21%
6.42%
8.11%
MAA8-MAA1 (Figure6(b))
LoS
D (99.0%)
1.27%
1.49%
2.18%
2.54%
0.92%
1.09%
1.38%
1.60%
2.18%
2.54%
P (99.0%)
5.05%
5.82%
8.31%
9.57%
3.69%
4.35%
5.43%
6.22%
8.31%
9.57%
Q (99.0%)
8.62%
9.86%
13.77%
15.70%
6.38%
7.46%
9.23%
10.49%
13.77%
15.70%
D (99.9%)
3.61%
4.18%
6.01%
6.96%
2.63%
3.10%
3.88%
4.46%
6.01%
6.96%
P (99.9%)
17.43%
19.61%
26.10%
29.12%
13.33%
15.34%
18.52%
20.70%
26.10%
29.12%
Q (99.9%)
19.89%
22.27%
29.28%
32.50%
15.34%
17.58%
21.08%
23.46%
29.28%
32.50%
Street canyon
D (99.0%)
0.78%
0.91%
1.37%
1.64%
0.55%
0.67%
0.84%
0.98%
1.37%
1.64%
P (99.0%)
3.15%
3.64%
5.39%
6.40%
2.30%
2.68%
3.38%
3.90%
5.39%
6.40%
Q (99.0%)
5.47%
6.29%
9.15%
10.77%
4.02%
4.70%
5.86%
6.71%
9.15%
10.77%
D (99.9%)
2.25%
2.60%
3.85%
4.60%
1.61%
1.90%
2.40%
2.78%
3.85%
4.60%
P (99.9%)
11.56%
13.14%
18.38%
21.17%
8.73%
10.08%
12.32%
13.96%
18.38%
21.17%
Q (99.9%)
13.36%
15.13%
20.94%
23.97%
10.16%
11.68%
14.22%
16.04%
20.94%
23.97%
MAA8-MAA8 (Figure6(c))
LoS
D (99.0%)
2.30%
2.54%
3.23%
3.54%
1.82%
2.06%
2.42%
2.66%
3.23%
3.54%
P (99.0%)
8.73%
9.57%
11.93%
12.98%
7.04%
7.89%
9.16%
9.98%
11.93%
12.98%
Q (99.0%)
14.42%
15.70%
19.23%
20.77%
11.79%
13.11%
15.07%
16.33%
19.23%
20.77%
D (99.9%)
6.33%
6.96%
8.74%
9.54%
5.07%
5.70%
6.65%
7.27%
8.74%
9.54%
P (99.9%)
27.13%
29.12%
34.39%
36.61%
22.89%
25.04%
28.14%
30.07%
34.39%
36.61%
Q (99.9%)
30.38%
32.50%
38.05%
40.36%
25.83%
28.15%
31.45%
33.51%
38.05%
40.36%
Street canyon
D (99.0%)
1.46%
1.64%
2.24%
2.54%
1.13%
1.28%
1.55%
1.74%
2.24%
2.54%
P (99.0%)
5.71%
6.40%
8.53%
9.60%
4.46%
5.07%
6.05%
6.74%
8.53%
9.60%
Q (99.0%)
9.69%
10.77%
14.11%
15.74%
7.65%
8.64%
10.23%
11.32%
14.11%
15.74%
D (99.9%)
4.10%
4.60%
6.18%
6.97%
3.18%
3.63%
4.35%
4.85%
6.18%
6.97%
P (99.9%)
19.31%
21.17%
26.63%
29.17%
15.68%
17.48%
20.24%
22.10%
26.63%
29.17%
Q (99.9%)
21.95%
23.97%
29.85%
32.55%
17.96%
19.94%
22.96%
24.98%
29.85%
32.55%As shown in Table4, the performance degradation is mainly observed in LoS scenario and the ITU RegionQ with 99.9% availability. The most significant performance degradation can be observed in the MAA8-MAA8 link when its target rate is 1 Gbps in an LoS scenario and the ITU RegionQ with 99.9% availability, that is, about 40.36%.


### 4.3. Case Study for Backhaul Link Budget Estimation in Heavy Rain Areas (ITU RegionQ)

The presented 60 GHz MAA platform is originally designed for wireless backhaul networks, that is, MAA8-MAA8 link. Therefore, the link budget estimation for MAA8-MAA8 link is performed and plotted as shown in Figure7. If service providers want to deploy these MAA boxes for constructing ad hoc mesh backhaul networks with the threshold of 1 Gbps, the following distances should be maintained: that is, 530.97 m (no rains), 420.70 m (ITU RegionQ with 99.0% availability), and 316.68 m (ITU RegionQ with 99.9% availability).Figure 7
Link budget estimation for backhaul link (MAA8-MAA8, as illustrated in Figure6(c)) with various path-loss models and rain rates.
(a)
SC-based MCS
(b)
Full (SC-based and OFDM-based) MCS


## 4.1. Link Budget Estimation

With the given three scenarios, link budget estimation performs depending on two different path-loss models, different ITU regional segments (no rain case, ITU RegionD, ITU RegionP, and ITU RegionQ), and different availability probabilities in each regional segments (99.0% or 99.9%). After performing all possible combinations of link budget estimation, various achievable distances depending on various target data rates (1 Gbps, 2 Gbps, 3 Gbps, and 4 Gbps for mandatory SC-based MCS; and 1 Gbps, 2 Gbps, 3 Gbps, 4 Gbps, 5 Gbps, and 6 Gbps for full MCS) are calculated as presented in Table 3. From Table 3, some remarkable facts are as follows:(i)
In an MAA1-MAA1 link, 1 Gbps rates are achievable up to maximum 56.80 m (in LoS scenario and no rain) and minimum 36.84 m (in a street canyon scenario and ITU RegionQ with 999% availability).(ii)
In an MAA8-MAA1 link, 1 Gbps rates are achievable up to maximum 292.37 m (in LoS scenario and no rain) and minimum 140.76 m (in a street canyon scenario and ITU RegionQ with 999% availability).(iii)
In an MAA8-MAA8 backhaul link, 1 Gbps rates are achievable up to maximum 530.97 m (in LoS scenario and no rain) and minimum 233.62 m (in a street canyon scenario and ITU RegionQ with 999% availability).Table 3
Achievable distances (unit: meter) for target data rates.
Scenario
Path-loss
ITU region
SC-based MCS
Full (SC-based and OFDM-based) MCS
4 Gbps
3 Gbps
2 Gbps
1 Gbps
6 Gbps
5 Gbps
4 Gbps
3 Gbps
2 Gbps
1 Gbps
MAA1-MAA1 (Figure6(a))
LoS
No rains
17.22
21.51
41.37
56.80
10.99
13.76
19.25
24.02
41.37
56.80
D (99.0%)
17.17
21.44
41.15
56.40
10.98
13.74
19.20
23.94
41.15
56.40
P (99.0%)
17.05
21.25
40.48
55.19
10.92
13.66
19.04
23.71
40.48
55.19
Q (99.0%)
16.93
21.06
39.81
53.99
10.87
13.57
18.89
23.46
39.81
53.99
D (99.9%)
17.10
21.33
40.74
55.66
10.94
13.69
19.10
23.80
40.74
55.66
P (99.9%)
16.56
20.50
37.98
50.80
10.71
13.34
18.43
22.78
37.98
50.80
Q (99.9%)
16.44
20.33
37.42
49.84
10.66
13.26
18.29
22.57
37.42
49.84
Street canyon
No rains
14.27
17.26
30.38
40.09
9.73
11.78
15.70
18.98
30.38
40.09
D (99.0%)
14.25
17.23
30.27
39.92
9.71
11.77
15.67
18.94
30.27
39.92
P (99.0%)
14.17
17.12
29.96
39.38
9.68
11.72
15.58
18.81
29.96
39.38
Q (99.0%)
14.10
17.01
29.63
38.83
9.64
11.67
15.49
18.68
29.63
38.83
D (99.9%)
14.20
17.17
30.08
39.59
9.69
11.74
15.62
18.86
30.08
39.59
P (99.9%)
13.88
16.70
28.71
37.31
9.54
11.51
15.23
18.30
28.71
37.31
Q (99.9%)
13.81
16.60
28.43
36.84
9.51
11.46
15.14
18.18
28.43
36.84
MAA8-MAA1 (Figure6(b))
LoS
No rains
114.37
137.89
231.53
292.37
77.27
94.28
125.68
151.01
231.53
292.37
D (99.0%)
112.91
135.83
226.49
284.95
76.56
93.25
123.95
148.60
226.49
284.95
P (99.0%)
108.59
129.86
212.29
264.38
74.42
90.18
118.86
141.62
212.29
264.38
Q (99.0%)
104.51
124.30
199.65
246.46
72.34
87.25
114.08
135.17
199.65
246.46
D (99.9%)
110.24
132.13
217.61
272.03
75.24
91.36
120.80
144.27
217.61
272.03
P (99.9%)
94.43
110.85
171.11
207.23
66.97
79.82
102.41
119.75
171.11
207.23
Q (99.9%)
91.62
107.18
163.74
197.36
65.42
77.71
99.19
115.58
163.74
197.36
Street canyon
No rains
75.17
89.36
146.70
185.14
52.68
63.01
81.98
97.29
146.70
185.14
D (99.0%)
74.58
88.55
144.69
182.10
52.39
62.59
81.29
96.34
144.69
182.10
P (99.0%)
72.80
86.11
138.80
173.30
51.47
61.32
79.21
93.50
138.80
173.30
Q (99.0%)
71.06
83.74
133.27
165.20
50.56
60.05
77.18
90.76
133.27
165.20
D (99.9%)
73.48
87.04
141.05
176.63
51.83
61.81
80.01
94.59
141.05
176.63
P (99.9%)
66.48
77.62
119.73
145.95
48.08
56.66
71.88
83.71
119.73
145.95
Q (99.9%)
65.13
75.84
115.98
140.76
47.33
55.65
70.32
81.68
115.98
140.76
MAA8-MAA8 (Figure6(c))
LoS
No rains
250.75
292.37
442.46
530.97
180.17
213.37
271.03
314.78
442.46
530.97
D (99.0%)
244.99
284.95
428.17
512.15
176.89
208.98
264.48
306.42
428.17
512.15
P (99.0%)
228.85
264.38
389.66
462.05
167.48
196.54
246.21
283.35
389.66
462.05
Q (99.0%)
214.59
246.46
357.37
420.70
158.92
185.39
230.19
263.39
357.37
420.70
D (99.9%)
234.87
272.03
403.78
480.32
171.03
201.21
253.01
291.90
403.78
480.32
P (99.9%)
182.72
207.23
290.28
336.60
138.93
159.94
194.77
220.11
290.28
336.60
Q (99.9%)
174.57
197.36
274.10
316.68
133.63
153.30
185.78
209.30
274.10
316.68
Street canyon
No rains
158.73
185.14
284.64
346.38
115.03
135.43
171.54
199.57
284.64
346.38
D (99.0%)
156.41
182.10
278.27
337.57
113.73
133.69
168.88
196.10
278.27
337.57
P (99.0%)
149.66
173.30
260.36
313.14
109.90
128.57
161.16
186.12
260.36
313.14
Q (99.0%)
143.35
165.20
244.49
291.87
106.23
123.73
154.00
176.98
244.49
291.87
D (99.9%)
152.23
176.63
267.06
322.22
111.37
130.52
164.08
189.89
267.06
322.22
P (99.9%)
128.08
145.95
208.85
245.33
96.99
111.76
136.82
155.47
208.85
245.33
Q (99.9%)
123.89
140.76
199.68
233.62
94.37
108.43
132.15
149.72
199.68
233.62


## 4.2. Performance Reduction due to Various Rain Attenuation Factors

Table4 presents the performance degradation ratio due to various rain attenuation factors. The data in Table 4 can be calculated as follows: (6)γ=δno-rain-δ∗δno-rain×100,where δno-rain stands for the achievable distance (from Table 3) when there is no rain and δ∗ stands for the achievable distance (from Table 3) for specific thresholds, regions, and availability probabilities. By calculating γ (presented in Table 4), we can determine how much rain attenuation affects the achievable distance reduction.Table 4
Performance reduction depending on various regions and rain rates (calculated based on the data from Table3).
Scenario
Path-loss
ITU region
SC-based MCS
Full (SC-based and OFDM-based) MCS
4 Gbps
3 Gbps
2 Gbps
1 Gbps
6 Gbps
5 Gbps
4 Gbps
3 Gbps
2 Gbps
1 Gbps
MAA1-MAA1 (Figure6(a))
LoS
D (99.0%)
0.29%
0.33%
0.53%
0.70%
0.09%
0.15%
0.26%
0.33%
0.53%
0.70%
P (99.0%)
0.99%
1.21%
2.15%
2.83%
0.64%
0.73%
1.09%
1.29%
2.15%
2.83%
Q (99.0%)
1.68%
2.09%
3.77%
4.95%
1.09%
1.38%
1.87%
2.33%
3.77%
4.95%
D (99.9%)
0.70%
0.84%
1.52%
2.01%
0.45%
0.51%
0.78%
0.92%
1.52%
2.01%
P (99.9%)
3.83%
4.70%
8.19%
10.56%
2.55%
3.05%
4.26%
5.16%
8.19%
10.56%
Q (99.9%)
4.53%
5.49%
9.55%
12.25%
3.00%
3.63%
4.99%
6.04%
9.55%
12.25%
Street canyon
D (99.0%)
0.14%
0.17%
0.36%
0.42%
0.21%
0.08%
0.19%
0.21%
0.36%
0.42%
P (99.0%)
0.70%
0.81%
1.38%
1.77%
0.51%
0.51%
0.76%
0.90%
1.38%
1.77%
Q (99.0%)
1.19%
1.44%
2.47%
3.14%
0.92%
0.93%
1.34%
1.58%
2.47%
3.14%
D (99.9%)
0.49%
0.52%
0.99%
1.25%
0.41%
0.34%
0.51%
0.63%
0.99%
1.25%
P (99.9%)
2.73%
3.24%
5.50%
6.93%
1.95%
2.29%
2.99%
3.58%
5.50%
6.93%
Q (99.9%)
3.22%
3.82%
6.42%
8.11%
2.26%
2.72%
3.57%
4.21%
6.42%
8.11%
MAA8-MAA1 (Figure6(b))
LoS
D (99.0%)
1.27%
1.49%
2.18%
2.54%
0.92%
1.09%
1.38%
1.60%
2.18%
2.54%
P (99.0%)
5.05%
5.82%
8.31%
9.57%
3.69%
4.35%
5.43%
6.22%
8.31%
9.57%
Q (99.0%)
8.62%
9.86%
13.77%
15.70%
6.38%
7.46%
9.23%
10.49%
13.77%
15.70%
D (99.9%)
3.61%
4.18%
6.01%
6.96%
2.63%
3.10%
3.88%
4.46%
6.01%
6.96%
P (99.9%)
17.43%
19.61%
26.10%
29.12%
13.33%
15.34%
18.52%
20.70%
26.10%
29.12%
Q (99.9%)
19.89%
22.27%
29.28%
32.50%
15.34%
17.58%
21.08%
23.46%
29.28%
32.50%
Street canyon
D (99.0%)
0.78%
0.91%
1.37%
1.64%
0.55%
0.67%
0.84%
0.98%
1.37%
1.64%
P (99.0%)
3.15%
3.64%
5.39%
6.40%
2.30%
2.68%
3.38%
3.90%
5.39%
6.40%
Q (99.0%)
5.47%
6.29%
9.15%
10.77%
4.02%
4.70%
5.86%
6.71%
9.15%
10.77%
D (99.9%)
2.25%
2.60%
3.85%
4.60%
1.61%
1.90%
2.40%
2.78%
3.85%
4.60%
P (99.9%)
11.56%
13.14%
18.38%
21.17%
8.73%
10.08%
12.32%
13.96%
18.38%
21.17%
Q (99.9%)
13.36%
15.13%
20.94%
23.97%
10.16%
11.68%
14.22%
16.04%
20.94%
23.97%
MAA8-MAA8 (Figure6(c))
LoS
D (99.0%)
2.30%
2.54%
3.23%
3.54%
1.82%
2.06%
2.42%
2.66%
3.23%
3.54%
P (99.0%)
8.73%
9.57%
11.93%
12.98%
7.04%
7.89%
9.16%
9.98%
11.93%
12.98%
Q (99.0%)
14.42%
15.70%
19.23%
20.77%
11.79%
13.11%
15.07%
16.33%
19.23%
20.77%
D (99.9%)
6.33%
6.96%
8.74%
9.54%
5.07%
5.70%
6.65%
7.27%
8.74%
9.54%
P (99.9%)
27.13%
29.12%
34.39%
36.61%
22.89%
25.04%
28.14%
30.07%
34.39%
36.61%
Q (99.9%)
30.38%
32.50%
38.05%
40.36%
25.83%
28.15%
31.45%
33.51%
38.05%
40.36%
Street canyon
D (99.0%)
1.46%
1.64%
2.24%
2.54%
1.13%
1.28%
1.55%
1.74%
2.24%
2.54%
P (99.0%)
5.71%
6.40%
8.53%
9.60%
4.46%
5.07%
6.05%
6.74%
8.53%
9.60%
Q (99.0%)
9.69%
10.77%
14.11%
15.74%
7.65%
8.64%
10.23%
11.32%
14.11%
15.74%
D (99.9%)
4.10%
4.60%
6.18%
6.97%
3.18%
3.63%
4.35%
4.85%
6.18%
6.97%
P (99.9%)
19.31%
21.17%
26.63%
29.17%
15.68%
17.48%
20.24%
22.10%
26.63%
29.17%
Q (99.9%)
21.95%
23.97%
29.85%
32.55%
17.96%
19.94%
22.96%
24.98%
29.85%
32.55%As shown in Table4, the performance degradation is mainly observed in LoS scenario and the ITU RegionQ with 99.9% availability. The most significant performance degradation can be observed in the MAA8-MAA8 link when its target rate is 1 Gbps in an LoS scenario and the ITU RegionQ with 99.9% availability, that is, about 40.36%.


## 4.3. Case Study for Backhaul Link Budget Estimation in Heavy Rain Areas (ITU RegionQ)

The presented 60 GHz MAA platform is originally designed for wireless backhaul networks, that is, MAA8-MAA8 link. Therefore, the link budget estimation for MAA8-MAA8 link is performed and plotted as shown in Figure7. If service providers want to deploy these MAA boxes for constructing ad hoc mesh backhaul networks with the threshold of 1 Gbps, the following distances should be maintained: that is, 530.97 m (no rains), 420.70 m (ITU RegionQ with 99.0% availability), and 316.68 m (ITU RegionQ with 99.9% availability).Figure 7
Link budget estimation for backhaul link (MAA8-MAA8, as illustrated in Figure6(c)) with various path-loss models and rain rates.
(a)
SC-based MCS
(b)
Full (SC-based and OFDM-based) MCS


## 5. Conclusions and Future Work

This paper presents practical link budget estimation results with IEEE 802.11ad standard-defined parameters and 60 GHz mmWave specific attenuation factors. In addition, the used system parameters are obtained from the real-world prototype which is currently developing for 60 GHz wireless backhaul networking. Based on the link budget estimation results, achievable distances between a transmitter and a receiver are determined depending on various thresholds of data rates in various regions, availability probabilities, and path-loss models.For future research direction, the link budget estimation with the other mmWave frequencies can be considerable for next-generation cellular and access systems.



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*Source: 9073465-2017-06-15.xml*