Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (2): 64-69.doi: 10.11896/jsjkx.200800205

• New Distributed Computing Technologies and Systems • Previous Articles     Next Articles

Fine-grained Performance Analysis of Uplink in Wireless Relay Network Based on Stochastic Geometry

SUN Hai-hua1, ZHOU Si-yuan1,2, TAN Guo-ping1,2, ZHANG Zhi2   

  1. 1 School of Computer and Information,Hohai University,Nanjing 211100,China
    2 Jiangsu Intelligent Transportation and Intelligent Driving Research Institute,Nanjing 210019,China
  • Received:2020-08-31 Revised:2020-11-27 Online:2021-02-15 Published:2021-02-04
  • About author:SUN Hai-hua,born in 1996,postgra-duate.His main research interests include wireless communication theory and cooperative communications.
    ZHOU Si-yuan,born in 1985,Ph.D,associate professor.His main research interests include wireless communication theory,cooperative communications,beyond 5G communication and Internet of Things.
  • Supported by:
    The National Natural Science Foundation of China (61701168,61832005),Fundamental Research Funds for the Central Universities (2019B15614),China Postdoctoral Science Funded Project (2019M651546) and Jiangsu Province Transportation Technology Transformation Project (2018Y45).

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Abstract: As the number of wireless network users increases dramatically,the network topology of traditional cellular networks can't meet the performance requirements of all users.In order to improve the uplink coverage probability in the cell-edge area,an uplink amplify-and-forward (AF) relay network model in which relays are deployed around the base station is established.The base stations and relays are respectively modeled as the Poisson point process (PPP) and the truncated Thomas cluster process (TCP),and relay node amplifies and forwards the data of cell-edge users to the base station.We drive a fine-grained performance analysis of the network model,i.e.,SIR meta distribution which is the distribution of the conditional coverage probability (CCP).The moments of the CCP in the relays network are analytically derived and the approximation of SIR meta distribution is presented in semiclosed-form expression.In contrast to the conventional performance analysis based on the coverage probability,meta distribution can intuitively show the proportion of uplinks in the network whose CCP is greater than a certain value.And the accuracy of the theoretical analysis is verified by simulations.Besides,the effect of the relay distribution parameters on the meta distribution is studied by adjusting the parameters of the relay distribution,such as radius and variance.Finally,the effects of power compensation factor of the uplink power control on the network coverage probability are compared,which provides help for the later research on network performance optimization.

Key words: Coverage probability, meta distribution, Power control, Relay network, Stochastic geometry

CLC Number: 

  • TN925
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