In Non-Orthogonal Multiple Access(NOMA),the best way to fully exploit the benefits of the system is the efficient resource allocation.For the NOMA power domain,the allocation of power and spectrum require solving the ...In Non-Orthogonal Multiple Access(NOMA),the best way to fully exploit the benefits of the system is the efficient resource allocation.For the NOMA power domain,the allocation of power and spectrum require solving the mixed-integer nonlinear programming NP-hard problem.In this paper,we investigate user scheduling and power allocation in Multi-Cell Multi-Carrier NOMA(MCMC-NOMA)networks.To achieve that,we consider Weighted Sum Rate Maximization(WSRM)and Weighted Sum Energy Efficiency Maximization(WSEEM)problems.First,we tackle the problem of user scheduling for fixed power using Fractional Programming(FP),the Lagrange dual method,and the decomposition method.Then,we consider Successive Pseudo-Convex Approximation(SPCA)to deal with the WSRM problem.Finally,for the WSEEM problem,SPCA is utilized to convert the problem into separable scalar problems,which can be parallelly solved.Thus,the Dinkelbach algorithm and constraints relaxation are used to characterize the closed-form solution for power allocation.Extensive simulations have been implemented to show the efficiency of the proposed framework and its superiority over other existing schemes.展开更多
研究基于能量采集的大规模多输入多输出(multiple-input multiple-output,MIMO)系统能效优化问题。保证用户服务质量、能量塔发射功率限制和能量采集时间约束下,为实现上行大规模MIMO系统能效最大化,对能量塔发射功率、能量采集时间进...研究基于能量采集的大规模多输入多输出(multiple-input multiple-output,MIMO)系统能效优化问题。保证用户服务质量、能量塔发射功率限制和能量采集时间约束下,为实现上行大规模MIMO系统能效最大化,对能量塔发射功率、能量采集时间进行联合优化。该问题属于非凸优化问题,首先通过分式规划理论将原优化问题等价转换,然后采用块坐标下降(block coordinate descent,BCD)方法,对能量塔发射功率、能量采集时间、系统能效进行迭代求解,提出了一种基于能量采集的大规模MIMO系统的联合优化能效算法(energy-efficient power and time allocation algorithm,EPTA)。仿真结果表明,在保证用户服务质量的情况下,与均时最小QoS保证算法(time-averaged minimum QoS guaranteed algorithm,TA-QoSA)、吞吐量资源分配算法(throughput maximization based power and time algorithm,TPTA)相比,该算法提高了系统能效。展开更多
基金Foundation item： Supported by Hunan Provincial Natural Science Foundation of China（05JJ40103） Supported by Soft Science Research Fund of Hunan Province（2006ZK3028） Supported by Scientific Research Fund of Hunan Provincial Education Department（105B0707, 08C470）
基金supported by the National Science Foundation of P.R.China (No.61701064)the Chongqing Natural Science Foundation (cstc2019jcyj-msxmX0264).
文摘In Non-Orthogonal Multiple Access(NOMA),the best way to fully exploit the benefits of the system is the efficient resource allocation.For the NOMA power domain,the allocation of power and spectrum require solving the mixed-integer nonlinear programming NP-hard problem.In this paper,we investigate user scheduling and power allocation in Multi-Cell Multi-Carrier NOMA(MCMC-NOMA)networks.To achieve that,we consider Weighted Sum Rate Maximization(WSRM)and Weighted Sum Energy Efficiency Maximization(WSEEM)problems.First,we tackle the problem of user scheduling for fixed power using Fractional Programming(FP),the Lagrange dual method,and the decomposition method.Then,we consider Successive Pseudo-Convex Approximation(SPCA)to deal with the WSRM problem.Finally,for the WSEEM problem,SPCA is utilized to convert the problem into separable scalar problems,which can be parallelly solved.Thus,the Dinkelbach algorithm and constraints relaxation are used to characterize the closed-form solution for power allocation.Extensive simulations have been implemented to show the efficiency of the proposed framework and its superiority over other existing schemes.
文摘研究基于能量采集的大规模多输入多输出(multiple-input multiple-output,MIMO)系统能效优化问题。保证用户服务质量、能量塔发射功率限制和能量采集时间约束下,为实现上行大规模MIMO系统能效最大化,对能量塔发射功率、能量采集时间进行联合优化。该问题属于非凸优化问题,首先通过分式规划理论将原优化问题等价转换,然后采用块坐标下降(block coordinate descent,BCD)方法,对能量塔发射功率、能量采集时间、系统能效进行迭代求解,提出了一种基于能量采集的大规模MIMO系统的联合优化能效算法(energy-efficient power and time allocation algorithm,EPTA)。仿真结果表明,在保证用户服务质量的情况下,与均时最小QoS保证算法(time-averaged minimum QoS guaranteed algorithm,TA-QoSA)、吞吐量资源分配算法(throughput maximization based power and time algorithm,TPTA)相比,该算法提高了系统能效。
