认知网中感知时间和功率控制的联合优化机制

A Joint Optimization Mechanism of Sensing Time and Power Control in Cognitive Networks

针对认知无线网中为了最大化认知用户的吞吐量问题,提出了一种感知时间和功率控制的联合优化机制。该机制保证认知系统在低于一定干扰限制下,将认知用户吞吐量描述成为一个多约束优化问题,从理论上分析了最优功率分配方案与最优感知时间分配方案。根据理论分析结果,设计了联合迭代机制通过确定合适的感知参数从而达到最大化认知用户吞吐量的目的。仿真结果表明:提出的联合优化机制复杂度较低,并且该方案的认知吞吐量性能最接近理论最优方案的性能。

In cognitive wireless network,in order to maximize the throughput of the cognitive user,a mecha-nism which can jointly optimize the sensing time and the transmit power is proposed. Under the interfer-ence constraint of the cognitive system,the cognitive user throughput is formulated as an optimization prob-lem with multiple constraints. The optimal power and spectrum sensing schemes are analyzed. According to the theoretical analysis results,the joint iterative mechanism is proposed to maximize the throughput of the cognitive user by determining the appropriate sensing parameters. The simulation results show that the proposed joint optimization mechanism has lower complexity and the user throughput of the proposed joint optimization mechanism is very closed to that of the optimal scheme in theory.