基于Matern簇过程的NOMA-HetNet覆盖概率分析

doi:10.11959/j.issn.1000-436x.2020150

Abstract

Abstract:

Considering the correlation between the users and base stations and the network irregularity,the non-orthogonal multiple access heterogeneous networks (NOMA-HetNet) based on Matern cluster process (MCP) was modeled.The coverage probability of UEs was analyzed.Firstly,the signal-to-interference-plus-noise ratios (SINR) of UEs were theoretically derived.Secondly,an updating law for the upper limit of SINR was presented for the imperfect serial interference elimination (SIC) scheme,which was more consistent with the reality.Then,using the mathematical tools such as spatial coordinate system,probability theory,stochastic geometry theory and order statistics,the correlation probability and service distances of the different types of UEs were analyzed.Finally,the theoretical expression of the coverage probability of UEs was derived.The effects of cluster radius,base station density,interference residual factors on service distances,and coverage probability are verified by numerical simulations.The simulation results are consistent with the theoretical analysis,which testifies the correctness of the theoretical analysis.

Key words: NOMA-HetNet, MCP, service distance, coverage probability

CLC Number:

TN929.5

Xiaorong JING,Yixi CHEN,Qianbin CHEN. Analysis of coverage probability in NOMA-HetNet based on Matern cluster process[J]. Journal on Communications, 2020, 41(9): 147-159.

Figures/Tables 18

References 23

[1]	张平, 陶运铮, 张治 . 5G 若干关键技术评述[J]. 通信学报, 2016,37(7): 15-29.
	ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G[J]. Journal on Communications, 2016,37(7): 15-29.
[2]	KAMEL M , HAMOUDA W , YOUSSEF A M ,et al. Ultra-dense networks:a survey[J]. IEEE Communications Surveys and Tutorials, 2016,18(4): 2522-2545.
[3]	DAI L , WANG B , YUAN Y ,et al. Non-orthogonal multiple access for 5G solutions,challenges,opportunities,and future research trends[J]. IEEE Communications Magazine, 2015,53(9): 74-81.
[4]	ZHANG Z , MA Z , XIAO M ,et al. Modeling and analysis of non-orthogonal MBMS transmission in heterogeneous networks[J]. IEEE Journal on Selected Areas in Communications, 2017,35(10): 2221-2237.
[5]	CUNHUA P , MAGED E , JIANGZHOU W ,et al. User-centric C-RAN architecture for ultra-dense 5G Networks:challenges and methodologies[J]. IEEE Communications Magazine, 2018,56(6): 14-20.
[6]	金明录, 郭楠 . 基于Thomas簇过程的异构蜂窝网能量效率分析[J]. 通信学报, 2019,40(10): 149-156.
	JIN M L , GUO N . Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process[J]. Journal on Communications, 2019,40(10): 149-156.
[7]	DHILLON H S , GANTI R K , BACCELLI F ,et al. Modeling and analysis of k-tier downlink heterogeneous cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2012,30(3): 550-560.
[8]	3GPP.Study on scenarios and requirements for next generation access technologies:TR 38.913[R].(2016-10-04)[2020-04-28].
[9]	SAHA C , DHILLON H S , MIYOSHI N ,et al. Unified analysis of HetNets using poisson cluster processes under max-power association[J]. IEEE Transactions on Wireless Communications, 2019,18(8): 3797-3812.
[10]	SAHA C , AFSHANG M , DHILLON H S ,et al. Enriched k-tier HetNet model to enable the analysis of user-centric small cell deployments[J]. IEEE Transactions on Wireless Communications, 2017,16(3): 1593-1608.
[11]	AFSHANG M , DHILLON H S . A new clustered HetNet model to accurately characterize user-centric small cell deployments[C]// IEEE Wireless Communications and Networking Conference. Piscataway:IEEE Press, 2017: 1-6.
[12]	AFSHANG M , SAHA C , DHILLON H S ,et al. Nearest-neighbor and contact distance distributions for Thomas cluster process[J]. IEEE Wireless Communications Letters, 2017,6(1): 130-133.
[13]	AFSHANG M , SAHA C , DHILLON H S . Nearest-neighbor and contact distance distributions for Matérn cluster process[J]. IEEE Communications Letters, 2017,21(12): 2686-2689.
[14]	ZHANG Z , SUN H , HU R Q ,et al. Stochastic geometry based performance study on 5G non-orthogonal multiple access scheme[C]// IEEE Global Communications Conference. Piscataway:IEEE Press, 2016: 1-6.
[15]	ZHANG Z , SUN H , HU R Q ,et al. Downlink and uplink non-orthogonal multiple access in a dense wireless network[J]. IEEE Journal on Selected Areas in Communications, 2017,35(12): 2771-2784.
[16]	ALI K S , ELSAWY H , CHAABAN A ,et al. Analyzing non-orthogonal multiple access (NOMA) in downlink poisson cellular networks[C]// IEEE International Conference on Communications. Piscataway:IEEE Press, 2018: 1-6.
[17]	MARCANO A S , CHRISTIANSEN H L . Impact of NOMA on network capacity dimensioning for 5G HetNets[J]. IEEE Access, 2018,6: 13587-13603.
[18]	ZHAO J , LIU Y , CHAI K K ,et al. Spectrum allocation and power control for non-orthogonal multiple access in HetNets[J]. IEEE Transactions on Wireless Communications, 2017,16(9): 5825-5837.
[19]	NASSER A , MUTA O , ELSABROUTY M ,et al. Compressive sensing based spectrum allocation and power control for NOMA HetNets[J]. IEEE Access, 2019,7: 98495-98506.
[20]	XU B , CHEN Y , CARRION J R ,et al. Resource allocation in energy-cooperation enabled two-tier NOMA HetNets toward green 5G[J]. IEEE Journal on Selected Areas in Communications, 2017,35(12): 2758-2770.
[21]	HAENGGI M . On distances in uniformly random networks[J]. IEEE Transactions on Information Theory, 2005,51(10): 3584-3586.
[22]	DAVID H A , NAGARAJA H N . Order statistics[J]. International Encyclopedia of the Social and Behavioral Sciences, 2001,67(339): 10897-10901.
[23]	WANG Y , ZHU Q . Modelling and analysis of heterogeneous cellular networks using a matern cluster process[J]. IET Communications, 2017,11(18): 2783-2791.

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参数名	数值	参数名	数值
MBS密度λ_m/ km^-2	1,2	簇半径R/ m	60,80,100
SBS密度λ_s/ km^-2	5λ _m	UE数量	4UE/SBS
MBS发射功率P_tm/ dBm	46	路径损耗指数α	4
SBS发射功率P_ts/ dBm	20	噪声功率σ²	0

Analysis of coverage probability in NOMA-HetNet based on Matern cluster process

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