Peng Chunling, Wang Guozhong, Liu Huaping
School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China.
School of Communication Engineering, Chongqing College of Electronic Engineering, Chongqing 401331, China.
Sensors (Basel). 2023 Sep 2;23(17):7620. doi: 10.3390/s23177620.
This paper investigates the power control and resource allocation problem in a simultaneously wireless information and power transfer (SWIPT)-based cognitive two-way relay network, in which two secondary users exchange information through a power splitting (PS) energy harvesting (EH) cognitive relay node underlay in a primary network. To enhance the secondary networks's transmission ability without detriment to the primary network, we formulate an optimization to maximize the minimum transmission rates of the cognitive users by jointly optimizing power allocation at the sources, the time allocation of transmission frames and power splitting at the relay, under the constraint that the transmission power of the cognitive network is set not to exceed the primary user interference threshold to ensure primary work performance. To efficiently solve this problem, a sub-optimal algorithm named the joint power control and resource allocation (JPCRA) scheme is proposed, in which we decouple the non-convex problem into convex problems and use alternative steps in the optimization algorithm to get final solutions. Numerical results reveal that the proposed scheme enhances transmission fairness and outperforms three traditional schemes.
本文研究了基于同时无线信息与能量传输（SWIPT）的认知双向中继网络中的功率控制和资源分配问题，其中两个次要用户通过位于主网络中的功率分配（PS）能量收集（EH）认知中继节点来交换信息。为了在不损害主网络的情况下增强次要网络的传输能力，我们制定了一种优化方案，通过联合优化源端的功率分配、传输帧的时间分配以及中继处的功率分配，来最大化认知用户的最小传输速率，同时满足认知网络的传输功率不超过主用户干扰阈值以确保主网络的工作性能这一约束条件。为了有效解决该问题，提出了一种名为联合功率控制与资源分配（JPCRA）方案的次优算法，在该算法中我们将非凸问题解耦为凸问题，并在优化算法中使用交替步骤来获得最终解决方案。数值结果表明，所提出的方案提高了传输公平性，并且优于三种传统方案。
