基于二分法迭代的频谱感知节能优化策略

An Optimization Strategy of Energy Efficient in Spectrum Sensing Based on Bisection and Iteration

针对认知无线电(CR)系统中频谱感知技术能量效率低的问题,提出了一种基于二分法迭代寻优的联合优化算法。该算法通过联合传输功率与感知时隙进行优化,最大化地提高了CR系统的能量效率,并且在针对优化参数ξ的寻优过程中,使用了二分法与迭代算法结合的寻优方法。通过理论分析,与其他类似算法相比,该算法的寻优速度更快,算法复杂度更低,函数收敛速度更快,实际应用的可扩展性更强。数值仿真分析结果表明,在保证检测性能的前提下,提出的算法能够很好地解决能效的最优化问题,在恒定检测概率Pd=0.9和Pd=0.7条件下,所提出算法的能耗开销均低于其他算法,在系统吞吐量中所提出算法均优于其他算法,为CR系统的发展提供了理论支撑,更加符合未来CR系统的节能发展方向。

Aimed at the problem that energy efficiency of spectrum sensing is low in cognitive radio （CR） system, a joint optimization algorithm based on bisection and iteration is proposed. This algorithm sharply raises the energy efficiency of CR system by jointing transmitting power and sensing slot to reach the opti- mization. And in the process of optimizing parameter ξ, the methods of bisection and iteration are jointed to reach the optimization. Through theoretical analysis, compared to other algorithms, this algorithm is faster at optimization speed, lower in complexity, faster at function convergence speed and larger in space for extension in application. The results of numerical simulation show that under condition of provided de- tection performance, the proposed algorithm can deal with the optimization of energy efficiency well. Under conditions of the constant detection probability of Pd = 0. 9 and Pd ： 0. 7, energy consumption of the proposed algorithm is lower than that of others, and the algorithm in system throughput is superior to others. This provides a theory support to CR system development, and is more in line with the energy-saving trend for CR system development in the future.