认知无线网络中准入控制和功率控制联合优化

发布时间：2018-02-16 14:52

本文关键词： 准入控制粒子群优化算法功率控制干扰温度　出处：《系统工程与电子技术》2017年03期 　论文类型：期刊论文

【摘要】：提出了一种基于离散的粒子群算法和单纯形法的优化机制来实现准入控制和功率控制的联合优化方案。在主用户干扰温度门限和次用户QoS的约束下,将准入控制建模成0/1组合优化问题,并将功率控制建模成线性约束问题,由于准入控制是NP难,该方案将准入控制和功率控制进行加权规划进行优化,同时,为降低计算复杂度,提出一种针对准入控制组合优化的可行性验证方法。并且针对离散的粒子群算法的收敛性进行了证明。仿真与分析表明,该方案具有收敛性,相比其他优化方案,能更有效地提高用户准入量并降低用户功率消耗,提高网络性能。
[Abstract]:In this paper, an optimal scheme based on discrete particle swarm optimization algorithm and simplex method is proposed to realize the joint optimization of admission control and power control, under the constraints of the primary user interference temperature threshold and the secondary user QoS. The admission control is modeled as a 0/1 combinatorial optimization problem and the power control is modeled as a linear constraint problem. As admission control is NP hard, the scheme optimizes the access control and power control by weighted programming. In order to reduce computational complexity, a feasibility verification method for combinatorial optimization of admission control is proposed. The convergence of discrete particle swarm optimization algorithm is proved. Simulation and analysis show that the scheme is convergent. Compared with other optimization schemes, it can effectively increase user access, reduce user power consumption and improve network performance.
【作者单位】：重庆邮电大学移动通信技术重庆市重点实验室;重庆第二师范学院数学与信息工程系;
【基金】：国家自然科学基金(61102062,61271260) 教育部科学技术研究重点项目(212145) 重庆市科委自然科学基金项目(cstc2015jcyjA40050) 重庆市教委科学技术研究项目(KJ110530)资助课题
【分类号】：TN92

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