Zhang Zhenwei, Qu Hua, Zhao Jihong, Wang Wei
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Entropy (Basel). 2021 Sep 3;23(9):1161. doi: 10.3390/e23091161.
Cooperative Non-Orthogonal Multiple Access (NOMA) with Simultaneous Wireless Information and Power Transfer (SWIPT) communication can not only effectively improve the spectrum efficiency and energy efficiency of wireless networks but also extend their coverage. An important design issue is to incentivize a full duplex (FD) relaying center user to participate in the cooperative process and achieve a win-win situation for both the base station (BS) and the center user. Some private information of the center users are hidden from the BS in the network. A contract theory-based incentive mechanism under this asymmetric information scenario is applied to incentivize the center user to join the cooperative communication to maximize the BS's benefit utility and to guarantee the center user's expected payoff. In this work, we propose a matching theory-based Gale-Shapley algorithm to obtain the optimal strategy with low computation complexity in the multi-user pairing scenario. Simulation results indicate that the network performance of the proposed FD cooperative NOMA and SWIPT communication is much better than the conventional NOMA communication, and the benefit utility of the BS with the stable match strategy is nearly close to the multi-user pairing scenario with complete channel state information (CSI), while the center users get the satisfied expected payoffs.
具有同时无线信息与能量传输（SWIPT）通信的协作非正交多址接入（NOMA）不仅可以有效提高无线网络的频谱效率和能量效率，还能扩展其覆盖范围。一个重要的设计问题是激励全双工（FD）中继中心用户参与协作过程，并为基站（BS）和中心用户实现双赢局面。在网络中，中心用户的一些私有信息对基站是隐藏的。在这种非对称信息场景下，应用基于契约理论的激励机制来激励中心用户加入协作通信，以最大化基站的收益效用并保证中心用户的预期收益。在这项工作中，我们提出一种基于匹配理论的盖尔 - 沙普利算法，以在多用户配对场景中获得具有低计算复杂度的最优策略。仿真结果表明，所提出的FD协作NOMA和SWIPT通信的网络性能远优于传统NOMA通信，并且采用稳定匹配策略的基站的收益效用几乎接近具有完整信道状态信息（CSI）的多用户配对场景，同时中心用户获得了满意的预期收益。
