认知无线电网络中基于几何规划的分布式功率控制

Distributed Geometric-Programming Based Power Control in Cognitive Radio Networks

摘要:

功率控制对于允许次用户和主用户之间频谱共享的认知无线电网络来说是关键的,针对具有干扰限制的认知网络最大总容量得到一种最优的分步式功率控制策略,对于系统效用的非凸性,引入几何规划把非凸最优化问题转换为凸最优化问题,引入辅助变量和额外等式约束,把效用之间的关联转化为约束之间的关联,提出了功率控制策略的解决方法,显示了整体最优和带来卓越的性能。

Abstract:

Power control is critical for cognitive radio a network that allows spectrum sharing among secondary users and primary users. In this paper, an optimal distributed power control strategy was derived aiming at the total capacity maximization of secondary network with interference constraints to primary users. Due to the nonconvexity of system utility, geometric programming was introduced to transform nonconvex optimization problems into convex optimization problems. The auxiliary variables and extra equality constraints were introduced to transfer the coupling in utility to coupling in constraints. The solution of the proposed power control strategy was shown to be globally optimal and led to excellent performance.