2 4 2 4 2 4 2 4 2 4 Evaluation configurations parameters for simulation assessment There are two types of simulations: system simulation and link level simulation. .1 Additional parameters for system simulation Parameters in Table 8-4 shall also be applied in system simulation when assessing the characteristics of cell spectral efficiency, cell edge user spectral efficiency and VoIP capacity. TABLE 8-4 Additional parameters for system simulation Deployment scenario for the evaluation process Indoor hotspot microcell Urban macro-cell Rural macro-cell Suburban Layout(1) Indoor floor Hexagonal grid Hexagonal grid Hexagonal grid Hexagonal grid Inter-site distance 1 732 m 1 299 m Channel Indoor hotspot model (InH) Urban micro model (UMi) Urban macro model (UMa) Rural macro model (RMa) Suburban macro model (SMa) User distribution Randomly and uniformly distributed over area Randomly and uniformly distributed over area. 50% users outdoor (pedestrian users) and 50% of users indoors Randomly and uniformly distributed over area. 100% of users outdoors in vehicles Randomly and uniformly distributed over area. 100% of users outdoors in high speed vehicles Randomly and uniformly distributed over area. 50% users vehicles and 50% of users indoors User mobility model Fixed and identical speed |v| of all UTs, randomly and uniformly distributed direction Fixed and identical speed |v| of all UTs, randomly and uniformly distributed direction Fixed and identical speed |v| of all UTs, randomly and uniformly distributed direction Fixed and identical speed |v| of all UTs, randomly and uniformly distributed direction Fixed and identical speed |v| of all UTs, randomly and uniformly distributed direction UT speeds of interest 120 km/h Indoor UTs: 3 km/h, outdoor UTs: 90 km/h
Annex Test environments and channel models Test environments and channel models This section provides the reference channel for each test environment. These test environments are intended to cover the range of IMT-Advanced operating environments. The test operating environments are considered as a factor in the evaluation process of the candidate RITs. The reference models are used to estimate the critical aspects, such as the spectrum, coverage and power efficiencies. 1.1 Test environments, deployment scenarios and network layout Evaluation of candidate IMT-Advanced RIT/SRITs will be performed in selected scenarios of the following test environments: – Base coverage an urban macro-cellular environment targeting continuous coverage for pedestrian up to fast vehicular users. – Micro-cellular: an urban micro-cellular environment with higher user density focusing on pedestrian and slow vehicular users. – Indoor: an indoor environment targeting isolated cells at offices and/or in hotspot based on stationary and pedestrian users. – High a macro-cellular environment with high speed vehicles and trains. The deployment scenarios that shall be used for each test environment are shown in Table 8-1; information of the respective channel models is given in Table A1-1. A1-1 Selected deployment scenarios for evaluation and the channel models Test environment Base coverage Microcellular Indoor High speed Deployment scenario Urban macro-cell scenario micro-cell scenario Indoor hotspot scenario Rural macro-cell scenario Channel model UMa Urban macro (LoS, NLoS) UMi Urban micro (LoS, NLoS, InH Indoor hotspot (LoS, NLoS) RMa macro (LoS, NLoS) Suburban macro-cell scenario (and corresponding SMa channel model) is an optional scenario for the base coverage urban test environment. Initial focus for deployment and most challenges in IMT-Advanced system design and performance will be encountered in populated areas. However, in the evaluation the provisions for ubiquitous coverage and the associated performance also in rural areas need to be addressed. 1.2 Test environments For evaluation of candidate IMT-Advanced RIT/SRITs in the four selected test environments, a set of reliable and measurement-based channel models are needed. Channel models have to be accurate due to the fact that radio propagation has a significant impact on the performance of future
channels with fixed parameters to obtain comparable simulation results with relatively channel models. Delay spread and azimuth spreads medians of the CDL models are equal to median values given in Table A1-8. TABLE A1-8 Expectation (median) output values for large scale parameters Scenario DS (ns) AS at BS (degrees) AS at UT (degrees) InH LoS 20 40 42 NLoS 39 42 59 UMi LoS 65 16 56 NLoS 129 26 69 O-to-I 49 18 58 SMa LoS 59 6 30 NLoS 75 8 45 UMa LoS 93 14 65 NLoS 365 26 74 RMa LoS 32 8 33 NLoS 37 9 33 CDL models can be implemented as described either in Step or in Step 10b. InH – Indoor hotspot The CDL parameters of LoS and NLoS condition are given below. In the LoS model the Ricean K factor is 5 dB. A1-9 Scenario InH LoS clustered delay line model, indoor hotspot Cluster No. Delay (ns) Power (dB) AoD (degrees) AoA (degrees) Ray power (dB) Cluster ASD = 5º Cluster ASA = 8º XPR = 11 dB 0 0 0 0 2 10 –15.7 79 85 –28.7 3 25 –10.5 –84 73 –23.5 4 25 –16.7 –97 –82 –29.7 5 30 –17.6 –102 –72 –30.6 6 35 –14.1 80 –64 –27.2 7 40 –12.9 69 –73 –25.9 8 50 –19.5 104 –83 –32.5 9 55 –21.8 98 96 –34.8 10 60 –20.8 98 –91 –33.8 11 65 –24.1 –113 –93 –37.1 12 85 –13.9 –79 74 –26.9 13 90 –20.1 –109 –87 –33.1 14 100 –18 89 –77 –31
8 75 –3.1 –8 –46 –16.1 9 145 –4.6 –10 –56 –17.6 10 160 –8.0 –13 73 –21.0 11 195 –7.2 12 70 –20.2 12 200 –3.1 8 –46 –16.1 13 205 –9.5 14 –80 –22.5 14 770 –22.4 22 123 –35.4 RMa – Rural macro-cell The CDL parameters for LoS and NLoS conditions are given below. In the LoS model the Ricean K-factor is 6 dB. TABLE A1-18 Scenario RMa: LoS Clustered delay line model, rural Cluster No. (ns) Power (dB) AoD (degrees) AoA (degrees) Ray power (dB) Cluster ASD = 2º Cluster ASA = 3º XPR = 12 dB 1 0 5 10 0.0 –17.8 –19.5 0 0 –0.12(1) 2 35 40 45 –16.9 –19.1 –20.9 24 99 –26.9 3 45 –16.8 23 95 –29.8 4 65 –18.3 24 99 –31.3 5 65 –21.2 –25 –106 –34.2 6 110 –17.1 –23 96 –30.1 7 125 –19.7 –25 –103 –32.7 8 125 –23.8 27 113 –36.8 9 170 –22.9 27 110 –35.9 10 170 –20.9 25 106 –33.9 11 200 –21.9 –26 –108 –34.9 (1) of dominant ray. (2) Power of each other ray. A1-19 Scenario RMa: NLoS clustered delay line model, rural Cluster No. (ns) Power (dB) AoD (degrees) AoA (degrees) Ray power (dB) Cluster ASD = 2º Cluster ASA = 3º XPR = 7 dB 1 0 –4.9 –12 –46 –17.9 2 0 –7.8 16 58 –20.8 3 5 10 15 –3.0 –5.2 –7.0 0 0 –13.0 4 5 –2.7 9 34 –15.7 5 10 –2.6 –9 34 –15.6 6 15 20 25 –3.6 –5.8 –7.5 13 49 –13.6
The distribution of the time period AE (in speech frames) between successive active entries is the convolution of the distributions of SP and TS. This is given by: (121) Note that AE can be used as a crude guide to the time between MAC layer resource reservations, provided a single reservation is made per user per talk-spurt. Note that in practice, very small values of AE might not lead to a separate reservation request, but equation (121) still offers some potentially useful guidance. Since the state transitions from state 1 to state 0 and vice versa are independent, the mean time AE between active state entries is given simply by the sum of the mean time in each state. That is: (122) Accordingly, the mean rate of arrival of transitions into the active is given by: (123)