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Joint rate maximization of downlink and uplink in NOMA SWIPT systems
Physical Communication ( IF 2.0 ) Pub Date : 2021-03-17 , DOI: 10.1016/j.phycom.2021.101324
Shufeng Li , Zelin Wan , Libiao Jin

The combination of Non-orthogonal multiple access (NOMA) and Simultaneous wireless information and power transfer (SWIPT) is an emerging technology that can meet the requirements of spectral efficiency and energy efficiency. In this paper, we study the achievable rate maximization for jointly downlink and uplink network with power splitting-based SWIPT. We propose two different models. By using Single-Input Single-Output (SISO)-NOMA in conjunction with SWIPT, a joint uplink and downlink resource allocation scheme is proposed with the optimization objective to maximize the sum rate. We prove the objective function is strictly concave and found the optimal power splitting factor of each user. By using Multiple-Input Multiple-Output (MIMO)-NOMA in conjunction with SWIPT, we add timeslot allocation and propose a power splitting control and a timeslot allocation scheme. The optimization problem is divided into two subproblems to reduce solving complexity. In more detail, we first design the power splitting control scheme to maximize both the achievable rate and harvested energy in the downlink. Then timeslot optimization method is designed to improve the sum throughput. The simulation results show that a relatively high downlink rate can be achieved, while the required energy is simultaneously harvested by the users for the uplink.



中文翻译:

NOMA SWIPT系统中下行链路和上行链路的联合速率最大化

非正交多路访问(NOMA)与同时进行的无线信息和功率传输(SWIPT)的结合是一种新兴技术,可以满足频谱效率和能效要求。在本文中,我们研究了基于功率分配的SWIPT的下行链路和上行链路联合网络可实现的速率最大化。我们提出了两种不同的模型。通过将单输入单输出(SISO)-NOMA与SWIPT结合使用,提出了一种具有优化目的的最大化上行速率的联合上下行资源分配方案。我们证明目标函数是严格凹的,并找到了每个用户的最佳功率分配因子。通过将多输入多输出(MIMO)-NOMA与SWIPT结合使用,我们增加了时隙分配,并提出了功率分配控制和时隙分配方案。优化问题分为两个子问题,以降低求解复杂度。更详细地说,我们首先设计功率分配控制方案,以最大程度地提高下行链路中的可达到速率和所收集的能量。然后设计了时隙优化方法,以提高总吞吐量。仿真结果表明,可以实现较高的下行速率,同时用户可以同时获取上行所需的能量。然后设计时隙优化方法以提高总吞吐量。仿真结果表明,可以实现较高的下行速率,同时用户可以同时获取上行所需的能量。然后设计了时隙优化方法,以提高总吞吐量。仿真结果表明,可以实现较高的下行速率,同时用户可以同时获取上行所需的能量。

更新日期:2021-03-17
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