基于能量收集的认知无线电资源分配研究

Resource Allocation in Cognitive Radio Systems with Energy Harvesting

本文将能量收集及协作中继技术引入到认知无线电网络中,研究次用户作为中继节点帮助主用户转发数据的协作认知场景,提出了一种基于解码转发模式下的最优能量收集时间及功率分配策略.仿真结果表明:和直接传输相比,不仅降低了主用户的中断概率,增大了次用户的传输速率,而且节省了网络传输能量,延长了网络的寿命周期.

In this paper, energy harvesting technique and cooperative relaying technique are introduced into the cognitive radio network, and a cooperation scenario in which the secondary users as the relay node help primary users forward the data is studied. Then a optimal energy harvesting algorithm about time and power allocation is proposed based on Decode-and-forward mode. Simulation results show that compared with direct transmission, the proposed scheme not only reduces the outage probability of pri- mary users and increases the secondary users＇ transmission rate, but also saves the network transmission energy and prolongs the life of the network.