# Performance Analysis of the Multiband Orthogonal Frequency Division Multiplexing Ultra-Wideband Systems for Multipath Fading and Multiuser Interference Channels

Authors: Yuan Ouyang; Wen-Piao Lin; Chuan-Chih Liu
Journal: Mathematical Problems in Engineering
 (2015)

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## Abstract

This paper presents the performance analysis of the multiband orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) systems for multipath fading and multiuser interference channels. A closed form approximation of the BER performance of the MB-OFDM UWB system with multiple interferences is proposed. Based on the derived approximation, the effects on the BER performance for the choice of the codeword constraint lengths of the convolutional encoder, the length of the cyclic prefix, and the multiuser environments of two or more interferers are thoroughly discussed. Four UWB multipath fading channels are also investigated for the BER performance of the MB-OFDM UWB system. The simulated results provide us with useful information to appropriately choose the parameters of the MB-OFDM UWB system for the sake of achieving the BER performance that conforms to requirement of the FCC standards.


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## Body

## 1. Introduction

Ultra-wideband (UWB) technology [1–4], operated in frequencies between 3.1 GHz and 10.6 GHz, is an emerging short distance, high bandwidth, and high data rate wireless communication system. The general design approach for UWB wireless system includes the narrow time-domain pulsed, pulsed multiband, and multiple band orthogonal frequency division multiplexing (MB-OFDM) [5–7] modulation. According to previous literatures [8–11], the main disadvantage of the narrow time-domain pulsed UWB system is the high complexity of the RF circuits that capture the significant multipath energy [12–14]. The pulsed multiband UWB system also has the same difficulty in its RF chain design. However, the MB-OFDM UWB system has several advantages, including the ability to efficiently capture multipath energy, the insensitivity to group delay variations, the ability to deal with narrowband interferers, and the fewer requirements of the band-timing switching [15, 16]. The drawback of the MB-OFDM UWB system is the high peak-to-average power ratio (PAPR) of the transmitted signals. The MB-OFDM UWB systems provide the data rates from 53.3 to 480 Mbit/s by utilizing different spreading gain factors and different schemes of the forward error correction (FEC) coding and time-frequency coding (TFC). The FEC coding with a convolutional code provides the code rates of 1/3, 11/32, 1/2, 5/8, and 3/4.Multipath energy collection is the key factor of the robustness and range of the wireless communication systems. The cyclic prefix (CP) length of the OFDM system determines the received multipath energy and reduces the intercarrier interference (ICI) and intersymbol interference for multipath fading channels. However, the CP structure would lead to a serious ripple problem in the power spectral density (PSD) of the transmitted signals. The MB-OFDM UWB systems use a zero-padded prefix (ZPP) instead of the CP to reduce the ripple problem of the PSD and extend the transmission range of the system.The channel models specified in IEEE 802.15.3a standard [17, 18] were based upon Saleh-Valenzuela (S-V) model [19], which was characterized by the cluster arrival rate, ray arrival rate within clusters, and cluster and ray decay factors. The gain coefficients of these channel models are assumed to be Rayleigh distributed. The performances of MB-OFDM UWB and DS-UWB systems are evaluated in [20]. A general framework for the performance analysis of MB-OFDM UWB system is provided in [21]. All of these works are based on the assumption of perfect frequency and timing synchronization. In addition, the cyclic prefix of OFDM system is assumed to be longer than the channel multipath delays. Hence, the systems would not suffer from the ISI and ICI. Since the multiuser interference would significantly affect the performance of the MB-OFDM UWB system, it is not appropriate to simply consider the multiuser interference as AWGN. In this paper, the multiuser interferences are modeled as a summation of flat Rayleigh-fading and unsynchronized OFDM signals.In this paper, we propose an analytical model and a closed form BER performance equation of the MB-OFDM UWB systems with multiuser interferences for LOS and NLOS multipath fading channels. The effects on the BER performance for the choice of the codeword constraint lengths (CCL) of the convolutional encoder, the length of the cyclic prefix, and the multiuser environments of two or more interferers are thoroughly discussed. Four UWB multipath fading channels are also investigated for the BER performance of the MB-OFDM UWB system. The simulated results give us valuable information to obtain the BER performance that conforms to requirement of the FCC standards by appropriately choosing the parameters of the MB-OFDM UWB systems.


## 2. System Model and BER Analysis

Figure1 shows the block diagram of the MB-OFDM UWB system. In this system, the convolutional coded QPSK/QAM-OFDM based modulation is combined with a multibanding approach, which divides the spectrum into several subbands. Each subband has 528 MHz bandwidth. The transmitted OFDM symbols are time-interleaved and across the subbands by using a predefined time-frequency code. Various information data rates can be achieved by puncturing the convolutional encoder. The transmitted signal of S(t) shown in Figure 1 can be expressed as [22–24](1)St=EcT∑k=0K-1akej(2π/T)kt,0<t<T,where Ec is the energy per coded bit, T is the symbol duration, K is the total number of OFDM subcarriers, and ak∈{±1,±j} is the coded data transmitted at the kth subcarrier. The transmitted interference signal from the ith MB-OFDM interferer can be described as(2)uit=EiT∑m=0K-1aimej2π/Tkt,0<t<T,where Ei is the energy per interference bit, aim is the transmitted coded data of the ith interference user at the mth subcarrier, and aim∈{±1,±j}. All the interferences are assumed to be synchronized during the theoretical analysis. And later we will show that the performance would be almost the same when the interferences are unsynchronized.Figure 1
The block diagram of the MB-OFDM UWB system.Based on the above description, the received signal can be expressed as(3)rt=S(t)∗ht+∑i=0I-1nit+Wt=∑k=0K-1Skt+∑i=0I-1uit∗hit+Wt,where i is the index of the MB-OFDM interference, I is the total number of interferences, Sk(t) is the received signal at the kth subcarrier, and W(t) denotes the complex white Gaussian noise, whose double-sided PSD is Nw Watt/Hz. We denote by h(t) the channel impulse response between the MB-OFDM transmitter and the MB-OFDM receiver and hi(t) the channel impulse response between the ith interference and the MB-OFDM receiver. These channels are assumed to be slow fading Rayleigh channels, which means these channels could be considered constant over the symbol interval, but would vary from symbol to symbol. The multipath channels are independent of each other and the channel phase correction is assumed to be perfect. Based on Lampe's paper [8], UWB channel can be approximated as Rayleigh fading channel [11]. Hence, the channel responses could be modeled as(4)Hω=αωejθ(ω),Hi(ω)=αi(ω)ejθi(ω),Eα2=2Λ,Eαi2=2Λi,where the channel gains α(ω) and αi(ω) at any given frequency ω are Rayleigh distributed and the channel phases θ(ω) and θi(ω) are uniformly distributed between 0 and 2π. Hence, the frequency response at the kth subcarrier, Hk, is obtained as (5)Hk=H2πTk=α2πTkejθ((2π/T)k)=αkejθk,where Hk is the channel frequency response at frequency 2πk/T. Substituting (5) into (3), we obtain the received signal at the kth subcarrier(6)Skt=EcTHkakej(2π/T)kt=EcTαkakej(2π/T)kt+jθk.In a similar way, the channel frequency response at mth subcarrier between the ith interference and the MB-OFDM receiver can be represented as(7)Him=Hi2πTm=αi2πTmejθi2π/Tm=αimejθim.The received interference caused by the ith interference, hence, can be expressed as(8)nit=hi(t)∗ui(t)=EiT∑m=0K-1Hi2πTmaimej(2π/T)mt=EiT∑m=0K-1αimaimej(2π/T)mt+θim,0<t<T.The received signal after OFDM demodulation and phase compensation can be written in the form [25](9)yk=1T∫0Trte-j(2π/T)kt+θkdt=Ecαkak+ICI+η+W=Ecαkak+∑i=0I-1‍Eiαikaikejψik+W,where η is the multiuser interference term, ψik=θik-θk, and W represents the noise term, which has the same statistical characteristic as W(t). Since the channel is static during the symbol interval, we can assume that the ICI of the OFDM is zero. Note that the phases θik and θk in (5) and (8) are modeled as random variables uniformly distributed between 0 and 2π. It is easy to prove that ψik is also a random variable uniformly distributed between 0 and 2π.To simplify the derivation of the probability of error for the MB-OFDM UWB system, the linearity property of the convolutional codes is used. That is, we assume that the all-zero sequence is transmitted and we determine the probability of error in deciding in favor of another sequence. Note thatak∈{±1,±j} and aik∈{±1,±j}. The input to the Viterbi decoder can be expressed as(10)gk=Re(yk)=-αkEc+Re(η)+ReW=-αkEc+η~+W~=-αkEc+∑i=0I-1Eiαik±cos⁡ψik∓sinψik+W~,where W~ is the real white noise, whose double-sided PSD is Nw/2. The probability of error in the pairwise comparison of the metrics for path 0 (the all-zero path) and path 1 (a path differs by d bits interval) is(11)Pd=P∑l=1dgl≥0=P-Ec∑l=1dαl+∑l=1d∑i=0I-1Eliαli±cos⁡ψli∓sinψli+∑l=1dW~≥0.In order to simplify the derivation process, we introduce the random variablesX andYdefined as(12)X=Ec∑l=1d‍αl,Y=∑l=1d‍∑i=0I-1‍Eliαli±cos⁡ψli∓sinψli.Owing to the large bandwidth of the MB-OFDM system and the interleaving used to this system, all αi and αli could be considered independent from each other over the d bits interval. From the central limit theorem, the random variables X and Y can be approximated as Gaussian random variables with means and variances given by(13)μX=dEcΛπ2,μY=0,σX2=2-π2dEcΛ,σY2=2d∑i=0I-1‍EiΛik.Hence, the probability of error in (11) can be reduced to(14)Pd=PY~-X≥0=QμX2σX2+σY~2,where Y~~N(0,σY2+dNw/2). This equation gives us an approximation on the expected probability of deciding in favor of a path of Hamming distanced from the transmitted all-zero path. An approximation on the BER of the MB-OFDM UWB system then can be calculated as(15)Pb=1w∑d=dfree∞‍λdPd=1w∑d=dfree∞‍λdQdπ41-π/4+1/SINRc,where c=w/q is the code rate for the MB-OFDM UWB system, dfree is the minimum free distance of the convolutional code used, and λd is the distance spectra of the code. SINR denotes signal to interference plus noise ratio, which is defined as (16)SINR=PavePInt+Nw/2=EbΛ∑i=0I-1EiΛi+Nw/2.Note that the BER performance of the MB-OFDM UWB system can be easily computed by substituting the particular SINR into (15). This relatively simple formula could give us good insights into the performance of the MB-OFDM systems in practical channels with multiple interferences.


## 3. Simulation and Discussion

Since the system model in Figure1 includes multiuser interferers (some other MB-OFDM UWB signals), multipath fading channels, and Viterbi convolution encoder/decoder for various information data rates, the system model is too complicated and time-consuming to perform computer simulation. According to the derivation in Section 2, we know that it is relatively simple for us to evaluate the BER performance of MB-OFDM UWB systems by substituting the particular SINR into (15). Based on this method, we perform some simulation to investigate the effects on the BER performance of MB-OFDM UWB system for the choice of the CCL of the convolutional encoder, the length of the cyclic prefix, and the multiuser environments of two or more interferers.The parameters of the simulated MB-OFDM systems are summarized in Table1 [5]. Four Saleh-Valenzuela (S-V) channel models, CM1~CM4, are used in our BER performance simulations. According to the documents provided by the IEEE 802.15.3a group, the parameters of these simulation channels are listed in Table 2 [17, 18]. Among these channel models, CM1 model is based on line-of-sight (LOS) measurements and CM2~CM4 are based on non-LOS (NLOS) measurements. By using the simulation parameters listed in Tables 1 and 2, we could easily calculate values of Ec, Ei, and Nw/2, that is, the transmitting energy per coded bit, the energy per interference bit, and the double-sided PSD of white Gaussian noise, respectively. The transmitting power of each interferer is assumed to be the same in our simulations.Table 1
Simulation parameters of the MB-OFDM system.
MB-OFDM group 1 (3-band)
Data transmission rates (Rb)
110 Mbps
200 Mbps
480 Mbps
Average noise power
−87 dBm
−84.4 dBm
−80.6 dBm
Maximum transmitted power (PT)
−10.3 dBm
Tx antenna gain (GT)
0 dBi
Rx antenna gain (GR)
0 dBi
Central frequency
3882 MHz
Path losses of wireless distance per meter (L1)
44.2 dB
Path losses of wireless distance (d meters) (L2)
6 dB (d=2)
12 dB (d=4), 20 dB (d=10)
Average receiving power (PR)
P
R
=
P
T
+
G
T
+
G
R
-
L
1
-
L
2Table 2
Parameters of the UWB channel models.
Model parameters
CM1
CM2
CM3
CM4
Λ [1/nsec] (cluster arrival rate)
0.0233
0.4
0.0667
0.0667
λ [1/nsec] (ray arrival rate)
2.5
0.5
2.1
2.1
Γ (cluster decay factor)
7.1
5.5
14
24
γ (ray decay factor)
4.3
6.7
7.9
12
CM1 model is based on LOS (0–4 m) channel measurement.
CM2 model is based on NLOS (0–4 m) channel measurement.
CM3 model is based on NLOS (4–10 m) channel measurement.
CM4 model is generated to fit a 25 ns RMS delay spread to an extreme NLOS multipath channel.


### 3.1. The Effect of the CCL of the Convolutional Encoder

In the multiuser environments, since users adopt the different time-frequency code (TFC), the bandwidth of the transmitting signals will not be overlap. We assume the transmitting power and data rate are the same among the multiple users and the transmitted signals are synchronous. The value of the SINR depends on the transmitting power of interference users, the distance between interferer and receiver, and the distance between transmitter and receiver. In general, the package error rate (PER) of the wireless communication systems should be lower than 8% to comply with FCC regulations. This PER corresponds to the bit error rate (BER) of 8.1424× 10−5 (10−4.09) in the MB-OFDM UWB systems. Figures 2 and 3 show the effects of the different CCL of the convolutional code used in the MB-OFDM UWB systems. From Figure 2, we can see that BER conforms to the requirement of the FCC regulations under the condition of CCL≧3 and SINR≧7 dB for the MB-OFDM UWB system with data rate of 110 Mbit/s. If the data rate of the MB-OFDM UWB system increases up to 480 Mbit/s, the system needs CCL≧10 and SINR≧18 dB to conform to the BER requirement of the FCC regulations, as shown in Figure 3. The BER of the system would be decreased if the longer length of the CCL is used, due to the longer buffer space of convolutional encoder, at the cost of more complexities of the encoding/decoding circuits of the convolutional code. Therefore, we need carefully to choose the CCL for the MB-OFDM UWB systems.Figure 2
BER curves for different CCLs with the data rate of 110 Mbit/s.Figure 3
BER curves for different CCLs with the data rate of 480 Mbit/s.


### 3.2. The Received Multipath Energy for Multipath Fading Channels

Four S-V channel models, CM1~CM4, are used in our BER performance simulations. The more the receiver length is, the more the energy of fading paths is collected at the receiver. For the MB-OFDM UWB systems, the length of cyclic prefix determines the energy level of the paths collected at the receiver. Figure4 shows the curves of received multipath energy versus the length of the cyclic prefix for four S-V channel models. From Figure 4, we can see that if the receiver length is set to 10 nsec, the received multipath energy can reach 100%, 97%, 84%, and 63% for CM1, CM2, CM3, and CM4, respectively. Figure 5 shows the BER performance for different levels of received multipath energy in the cases of CCL = 7 and the data rate of 110 Mbit/s. As shown in Figure 5, the MB-OFDM UWB system with the received multipath energy of 60% reaches the BER of 10−4.09 at the SINR = 9 dB. Figure 6 shows the BER performance for different levels of received multipath energy in the cases of CCL = 7 and the data rate of 480 Mbit/s. From this figure, we can see that all the curves do not satisfy the BER requirement of the FCC regulations. Therefore, the level of multipath energy collection should be carefully chosen according to the channel conditions of the MB-OFDM UWB system.Figure 4
Received multipath energies for different UWB channel models.Figure 5
BER curves for different received multipath energy with the data rate of 110 Mbit/s and CCL = 7.Figure 6
BER curves for different received multipath energy with the data rate of 480 Mbit/s and CCL = 7.


### 3.3. Multiuser Interference Environment: Two Users, One Receiver and One Interferer

Figure7 shows the relative positions of the multiuser environments for two users. User0 is assumed to be the receiver of interest and user1 is interferer. The distance between the user0 and user1 is d1. The average received interference power of user0 from the interferer decays as a power law of the distance of d1. Hence, the equation of SINR could be changed to [25](17)SINR=EcΛ∑i=1IEidi-nΛi+Nw/2,where n is the path loss exponent, which typically ranges from 2 to 4 in wireless communication systems. From the channel model used in our analysis, n is assumed to be 1.7 for LOS channels and n=3.5 for NLOS channels. The BER performances for different distances of d1 and r in the MB-OFDM UWB systems with data rates of 110 and 480 Mbit/s are shown in Figures 8 and 9, respectively. As shown in Figure 8, we can see that the BER performance is less than 10−4.09, which is conformed to FCC standards, for d1≧0.1 m in the systems with the data rate of 110 Mbit/s and CCL = 7. However, as shown in Figure 9, the MB-OFDM UWB systems with data rate of 480 Mbit/s and CCL = 7 have the best BER performance of about 10−3 for d1=1 m and r=2 m in NLOS channels. In this situation, the MB-OFDM UWB system would not be able to comply with FCC standards.Figure 7
The relative positions of the multiuser environments for two users.Figure 8
BER curves for different transmission distancer with the data rate of 110 Mbit/s and CCL = 7.Figure 9
BER curves for different transmission distancer with the data rate of 480 Mbit/s and CCL = 7.


### 3.4. Multiuser Interference Environment: Two Users, One Receiver and Nine Interferers

Figure10 shows the relative positions of the multiuser environments for ten users. We assume these users are located on the half-circle with the radius of r. User0 is assumed to be the receiver of interest and the other users are interferers. The propagation distances between user0 and interferers user1,user2,…,user9 are denoted by d1,d2,…,d9, respectively. d1=0.1 m is set for the simulations of the MB-OFDM UWB system with the data rate of 110 Mbit/s and CCL = 7. Figure 11 shows the BER performance of the MB-OFDM UWB system versus the number of the interference sources for LOS and NLOS channels. The distances of d2,d3,…,d9 are increased incrementally with the value of 0.1 m.Figure 10
The relative positions of the multiuser environments for ten users.Figure 11
BER curves for differentr and d1 with the data rate of 110 Mbit/s and CCL = 7 under LOS/NLOS channels.From Figure11, we can see that, for the transmitting distance r=4 m and LOS channels, the MB-OFDM UWB system conforms to the BER performance requirement of the FCC standard with a maximum number of interference sources of 5. In NLOS channels, the MB-OFDM UWB system could conform to the FCC BER performance requirement for 9 interference sources and r=10 m. The BER performance of the MB-OFDM UWB system with data rate of 480 Mbit/s and CCL = 7 is shown in Figure 12. In this simulation, the distance of d1 is chosen to be 0.5 m according to the simulation results of the two-user case as shown in Figure 9. From this figure, we can see that, for NLOS channels, the BER performance of the MB-OFDM UWB system would be almost the same, as the number of interference sources is increased. However, for LOS channels, the BER performance of the MB-OFDM UWB system would increase, as the number of interference sources is increased. The MB-OFDM UWB systems with the data rate of 480 Mbit/s and CCL = 7 have the best BER performance of about 10−3 for NLOS channels.Figure 12
BER curves for differentr and d1 with the data rate of 480 Mbit/s and CCL = 7 under LOS/NLOS channels.


## 3.1. The Effect of the CCL of the Convolutional Encoder

In the multiuser environments, since users adopt the different time-frequency code (TFC), the bandwidth of the transmitting signals will not be overlap. We assume the transmitting power and data rate are the same among the multiple users and the transmitted signals are synchronous. The value of the SINR depends on the transmitting power of interference users, the distance between interferer and receiver, and the distance between transmitter and receiver. In general, the package error rate (PER) of the wireless communication systems should be lower than 8% to comply with FCC regulations. This PER corresponds to the bit error rate (BER) of 8.1424× 10−5 (10−4.09) in the MB-OFDM UWB systems. Figures 2 and 3 show the effects of the different CCL of the convolutional code used in the MB-OFDM UWB systems. From Figure 2, we can see that BER conforms to the requirement of the FCC regulations under the condition of CCL≧3 and SINR≧7 dB for the MB-OFDM UWB system with data rate of 110 Mbit/s. If the data rate of the MB-OFDM UWB system increases up to 480 Mbit/s, the system needs CCL≧10 and SINR≧18 dB to conform to the BER requirement of the FCC regulations, as shown in Figure 3. The BER of the system would be decreased if the longer length of the CCL is used, due to the longer buffer space of convolutional encoder, at the cost of more complexities of the encoding/decoding circuits of the convolutional code. Therefore, we need carefully to choose the CCL for the MB-OFDM UWB systems.Figure 2
BER curves for different CCLs with the data rate of 110 Mbit/s.Figure 3
BER curves for different CCLs with the data rate of 480 Mbit/s.


## 3.2. The Received Multipath Energy for Multipath Fading Channels

Four S-V channel models, CM1~CM4, are used in our BER performance simulations. The more the receiver length is, the more the energy of fading paths is collected at the receiver. For the MB-OFDM UWB systems, the length of cyclic prefix determines the energy level of the paths collected at the receiver. Figure4 shows the curves of received multipath energy versus the length of the cyclic prefix for four S-V channel models. From Figure 4, we can see that if the receiver length is set to 10 nsec, the received multipath energy can reach 100%, 97%, 84%, and 63% for CM1, CM2, CM3, and CM4, respectively. Figure 5 shows the BER performance for different levels of received multipath energy in the cases of CCL = 7 and the data rate of 110 Mbit/s. As shown in Figure 5, the MB-OFDM UWB system with the received multipath energy of 60% reaches the BER of 10−4.09 at the SINR = 9 dB. Figure 6 shows the BER performance for different levels of received multipath energy in the cases of CCL = 7 and the data rate of 480 Mbit/s. From this figure, we can see that all the curves do not satisfy the BER requirement of the FCC regulations. Therefore, the level of multipath energy collection should be carefully chosen according to the channel conditions of the MB-OFDM UWB system.Figure 4
Received multipath energies for different UWB channel models.Figure 5
BER curves for different received multipath energy with the data rate of 110 Mbit/s and CCL = 7.Figure 6
BER curves for different received multipath energy with the data rate of 480 Mbit/s and CCL = 7.


## 3.3. Multiuser Interference Environment: Two Users, One Receiver and One Interferer

Figure7 shows the relative positions of the multiuser environments for two users. User0 is assumed to be the receiver of interest and user1 is interferer. The distance between the user0 and user1 is d1. The average received interference power of user0 from the interferer decays as a power law of the distance of d1. Hence, the equation of SINR could be changed to [25](17)SINR=EcΛ∑i=1IEidi-nΛi+Nw/2,where n is the path loss exponent, which typically ranges from 2 to 4 in wireless communication systems. From the channel model used in our analysis, n is assumed to be 1.7 for LOS channels and n=3.5 for NLOS channels. The BER performances for different distances of d1 and r in the MB-OFDM UWB systems with data rates of 110 and 480 Mbit/s are shown in Figures 8 and 9, respectively. As shown in Figure 8, we can see that the BER performance is less than 10−4.09, which is conformed to FCC standards, for d1≧0.1 m in the systems with the data rate of 110 Mbit/s and CCL = 7. However, as shown in Figure 9, the MB-OFDM UWB systems with data rate of 480 Mbit/s and CCL = 7 have the best BER performance of about 10−3 for d1=1 m and r=2 m in NLOS channels. In this situation, the MB-OFDM UWB system would not be able to comply with FCC standards.Figure 7
The relative positions of the multiuser environments for two users.Figure 8
BER curves for different transmission distancer with the data rate of 110 Mbit/s and CCL = 7.Figure 9
BER curves for different transmission distancer with the data rate of 480 Mbit/s and CCL = 7.


## 3.4. Multiuser Interference Environment: Two Users, One Receiver and Nine Interferers

Figure10 shows the relative positions of the multiuser environments for ten users. We assume these users are located on the half-circle with the radius of r. User0 is assumed to be the receiver of interest and the other users are interferers. The propagation distances between user0 and interferers user1,user2,…,user9 are denoted by d1,d2,…,d9, respectively. d1=0.1 m is set for the simulations of the MB-OFDM UWB system with the data rate of 110 Mbit/s and CCL = 7. Figure 11 shows the BER performance of the MB-OFDM UWB system versus the number of the interference sources for LOS and NLOS channels. The distances of d2,d3,…,d9 are increased incrementally with the value of 0.1 m.Figure 10
The relative positions of the multiuser environments for ten users.Figure 11
BER curves for differentr and d1 with the data rate of 110 Mbit/s and CCL = 7 under LOS/NLOS channels.From Figure11, we can see that, for the transmitting distance r=4 m and LOS channels, the MB-OFDM UWB system conforms to the BER performance requirement of the FCC standard with a maximum number of interference sources of 5. In NLOS channels, the MB-OFDM UWB system could conform to the FCC BER performance requirement for 9 interference sources and r=10 m. The BER performance of the MB-OFDM UWB system with data rate of 480 Mbit/s and CCL = 7 is shown in Figure 12. In this simulation, the distance of d1 is chosen to be 0.5 m according to the simulation results of the two-user case as shown in Figure 9. From this figure, we can see that, for NLOS channels, the BER performance of the MB-OFDM UWB system would be almost the same, as the number of interference sources is increased. However, for LOS channels, the BER performance of the MB-OFDM UWB system would increase, as the number of interference sources is increased. The MB-OFDM UWB systems with the data rate of 480 Mbit/s and CCL = 7 have the best BER performance of about 10−3 for NLOS channels.Figure 12
BER curves for differentr and d1 with the data rate of 480 Mbit/s and CCL = 7 under LOS/NLOS channels.


## 4. Conclusion

The formula of the BER performance of the MB-OFDM UWB systems with multiuser interferences is proposed for LOS and NLOS multipath fading channels. We have discussed the effects on the BER performance for the choice of the CCL of the convolutional encoder, the length of the cyclic prefix, and the multiuser environments of two or more interferers. From the simulation results, we can see that the longer CCL would cause better BER performance of the MB-OFDM UWB systems, however, at the cost of more complexities of the encoding/decoding circuits. It also could be noted from these simulation results that the higher data rates would increase the BER of the MB-OFDM UWB system. Four UWB multipath fading channels and the choice of the cyclic prefix have been investigated for the BER performance of the MB-OFDM UWB system. The simulated results demonstrate that we can obtain the BER performance that conforms to the requirements of the FCC standards by appropriately choosing the length of the cyclic prefix of the system. The BER performances for the multiuser environments with LOS and NLOS channels are also investigated in this paper. These simulation results provide us with useful information for choosing the parameters of the MB-OFDM UWB system for multiuser interference and multipath fading channels.



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