认知传感网络的信能无线传输优化

Optimization of Signal Energy Wireless Transmission of Cognitive Sensor Network

摘要:

针对目前无线传感网络频谱资源匮乏、能源供给不足等问题,本文构建了一种新型的认知多播无线传感网络,并研究适用于该网络的信能协同传输问题。以网络中所有次级用户收集到的和能量为优化目标,结合多播技术,在次用户对主用户的干扰、次用户的信干噪比、次级发射器的发射功率的约束下,构建了一种非线性非凸优化问题。针对该优化问题,提出一种基于半正定松弛的算法,从而延长网络的生存周期；并在此基础上提出一种基于序贯参数凸逼近技术的优化算法以降低复杂度。仿真结果表明,本文所提的算法有效提高了次用户能量收集的性能。

Abstract:

Aiming at the current shortage of spectrum resources and insufficient energy supply in wireless sensor networks, this paper constructs a new type of cognitive multicast wireless sensor network, and studies the cooperative transmission of information and energy suitable for this network. Taking the sum energy collected by all secondary users in the network as the optimization goal, combined with the multicast technology, under the constraints of the interference of the secondary users to the primary user, the signal-to-interference noise ratio of the secondary user, and the transmit power of the secondary transmitter, the A nonlinear nonconvex optimization problem is presented. Aiming at this optimization problem, an algorithm based on positive semi-definite relaxation is proposed to prolong the lifetime of the network. On this basis, an optimization algorithm based on sequential parameter convex approximation technique is proposed to reduce the complexity. Simulation results show that the proposed algorithm can effectively improve the performance of secondary user energy harvesting.