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Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks

机译:双向多中继认知无线电网络的省时功率分配方案

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摘要

Cooperative relaying has been emerging as a key technology in Cognitive radio (CR) networks. A two-way Amplify-and-forward (AF) based multi-relay CR network is considered, where a primary user coexists with a pair of secondary users and multiple relays. A Time-efficient sub-optimal power allocation scheme (TESOPA) based on Cauchy-Schwarz inequality is provided to maximize the total end-to-end transmission rate of the secondary system. TESOPA is proposed under maximal transmission power constraints, while ensuring the quality of service of the primary user during the whole communication process. The computational complexity is sharply decreased by using the Cauchy-Schwarz inequality. Simulation results show that the proposed TESOPA scheme performs very close to the near-optimal Interior point method based power allocation (IPMPA), especially in interference dominant networks where interference constraints play a key role in determining power allocation results instead of maximal transmission power constraints.
机译:协作中继已成为认知无线电(CR)网络中的一项关键技术。考虑了基于双向转发和转发(AF)的多中继CR网络,其中一个主要用户与一对次要用户和多个中继并存。提供了一种基于Cauchy-Schwarz不等式的省时次优功率分配方案(TESOPA),以最大化二次系统的总端到端传输速率。 TESOPA是在最大传输功率约束下提出的,同时在整个通信过程中确保主要用户的服务质量。通过使用Cauchy-Schwarz不等式,计算复杂度大大降低。仿真结果表明,所提出的TESOPA方案与基于最优内点法的功率分配(IPMPA)非常接近,特别是在干扰占主导的网络中,干扰约束在确定功率分配结果而不是最大发射功率约束中起着关键作用。

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