Ergodic Capacity Analysis on MIMO Communications in Internet of Vehicles

被引:0
作者
Shangwei Zhang
Jiajia Liu
机构
[1] Northwestern Polytechnical University,School of Cyberspace Security
来源
Mobile Networks and Applications | 2021年 / 26卷
关键词
Internet of Vehicles (IoV); Vehicular ad hoc network (VANET); Multiple-input multiple-output (MIMO); Stochastic geometry; Geocast;
D O I
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中图分类号
学科分类号
摘要
Multiple-input multiple-output (MIMO) communications are believed as one of the key enabling technologies to fulfill the increasing requirements of future wireless networks. However, the asymptotic performance limits of MIMO vehicular ad hoc network (VANET) systems are not thoroughly investigated. All the related works on MIMO VANETs mainly focused on measurement and geometry based channel analyzing and modeling. In this paper, we present a framework for ergodic capacity analysis on MIMO communications among multi-antenna mounted vehicles. We model a Rayleigh fading channel with standard path-loss and lognormal shadowing, then adopt the tools of stochastic geometry to characterize the MIMO geocast channels. After analyzing the co-channel interference among MIMO geocast sessions, the upper and lower bounds on ergodic capacity of single link MIMO and MIMO geocast channels are derived with careful consideration of the important issues like antenna number, shadow fading, and transmission radius. Results reveal that ergodic capacity of MIMO VANETs can be significantly improved by appropriately mounting multiple transmit and receive antennas on vehicles. As the space for antenna mounting in a vehicle is rather limited, we further give a method to calculate the minimum number of antennas for each vehicle to guarantee the quality of service (QoS) requirements in safety oriented applications of IoV.
引用
收藏
页码:923 / 939
页数:16
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