Study on the System Performance in Cognitive NOMA-V2V Networks with Outdated CSI
An outdated channel state information(CSI)modeling method based on geometry is proposed for vehicle-to-vehicle(V2V)channels.To address the bottleneck problems of the high-speed time-varying characteristics and low resource utilization of the V2V communication networks,a power allocation scheme of cognitive non-orthogonal multiple access(NOMA)-V2V networks based on outdated CSI and imperfect successive interference cancellation is investigated.The performance impact of outdated CSI on V2V communication networks based on a geometric three-dimensional two-cylinder channel model is studied,and the throughput region of cognitive NOMA-V2V networks is analyzed.According to the three constraints of satisfying the maximum achievable rate of primary user,maximum achievable rate of secondary user,and adaptive satisfaction of primary user and secondary user achievable rate,the corresponding power allocation schemes are proposed.The results show that the proposed scheme has higher throughput and better outage performance compared with the existing power allocation methods.
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