Uberization of NOMA Wireless Network Resource Sharing: A Driver-Passenger Game-Theoretic Approach
Uberization of NOMA Wireless Network Resource Sharing: A Driver-Passenger Game-Theoretic Approach
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DOI：
10.1109/camad55695.2022.9966890
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Yutong Song;Wei Wang;K. Sohraby
中科院分区：
文献类型：
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作者：
Yutong Song;Wei Wang;K. Sohraby
非正交多址（NOMA）由于其高频谱效率而被认为是无线多媒体网络中资源共享的潜在解决方案。在本研究中，我们提出了一种新的定价方案，以优化同一资源块中用户之间的 NOMA 网络，利用拼车概念实现更好的 NOMA 资源分配。不同用户之间的定价方案类似于Uber/Lyft的乘车共享系统，司机和乘客进行交易并共享基站提供的功率、时间范围和频谱资源。 NOMA乘客用户为无线乘车支付一定的虚拟费用，NOMA司机用户在向基站支付佣金后愿意共享资源块而获得奖励。用户的效用函数是根据无线多媒体的质量导出的。定价和功率分配策略是通过推导博弈论纳什均衡，使驾驶员和乘客用户都获得最大效用。仿真结果表明，与正交多址（OMA）定价策略相比，所提出的 NOMA ubertization 博弈解决方案具有系统效用性能的潜在改进。
Non-Orthogonal Multiple Access (NOMA), is con-sidered as a potential solution for resource sharing in wireless multimedia networks because of its high spectral efficiency. In this research, we propose a new pricing scheme to uberize the NOMA network between users in the same resource block, leveraging the ride-sharing concept for better NOMA resource allocation. The pricing scheme between different users is similar to the Uber/Lyft ride-sharing system where the driver and passenger make a deal and share the power, time frame and frequency spectrum resource provided by the base station. The NOMA passenger user pays some virtual payment for wireless riding and the NOMA driver user is rewarded for willing to sharing the resource block after paying commission to the base station. The utility functions of users are derived based on the quality of wireless multimedia. The pricing and power allocation strategy is to make both driver and passenger users achieve their maximum utilities by deriving game-theoretic Nash Equilibrium. The simulation results show that the proposed NOMA ubertization game solution has potential improvement of system utility performance comparing with the orthogonal multiple access (OMA) pricing strategy.