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混合能源的NOMA网络中最优时延均衡和功率控制算法
黄盛
0
(中国西南电子技术研究所,成都 610036)
摘要:
针对可再生能源和电能源融合的非正交多址接入(Non-orthogonal Multiple Access,NOMA)网络,考虑动态的业务到达、 时变的信道衰落、 振荡的能源采集和多种能源消耗,以最小化时间平均的电能源消耗为目标,同时满足有限排队时延、最大发射功率限制、能量守恒、有限能源存储容量等约束条件,构建时延均衡和功率控制的随机优化问题。基于李雅普诺夫(Lyapunov)优化方法,解析最优解的数学特征,提出了一种两用户下行链路中具有多项式级别复杂度的最优功率控制算法,通过队列稳定性来均衡可再生能源的动态采集、消耗和有限存储之间的关系。仿真结果表明,所提算法能够有效地降低电能源消耗和排队时延。
关键词:  NOMA网络  可再生能源  电能源消耗  排队时延  时延均衡  功率控制
DOI:
基金项目:
An optimal delay balance and power control algorithm for hybrid-energy NOMA networks
HUANG Sheng
(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
Abstract:
A non-orthogonal multiple access(NOMA) network employing both renewable energy and grid energy is studied.Accounting for dynamic traffic arrival,time-varying channel fading,random renewable generation,and multiple energy consumption,a stochastic optimization problem of delay balance and power control is formulated,which aims to minimize the time-average grid energy and satisfies the constraint conditions of finite queueing delay,maximum transmit power,energy balance,and finite energy storage.Based on Lyapunov optimization method,the mathematical structures of the optimal solution are analyzed,and an optimal power control algorithm with a polynomial computational complexity is proposed for two-user downlinks.The algorithm balances the relationship between the dynamic harvesting,consumption,and finite storage of renewable energy through the stability of queues.Simulation results show that the proposed algorithm can efficiently decrease the grid energy consumption and queueing delay.
Key words:  NOMA network  renewable energy  grid energy consumption  queueing delay  delay balance  power control