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Joint Resource Allocation for Device-to-Device Communications Underlaying Uplink MIMO Cellular Networks

机译:支持上行MIMO蜂窝网络的设备间通信的联合资源分配

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摘要

This paper presents a resource allocation framework for device-to-device (D2D) communications underlaying uplink MIMO cellular networks. At first, our aim is to address the sum-rate maximization problem of the cellular network with both D2D and cellular users. An algorithm based on pure random search is presented for obtaining the optimal resource allocation without using an exhaustive search. Then, we propose a noncooperative resource allocation game for the joint self-optimization of channel allocation, power control, and precoding of the D2D users in a more practical setting. The feasibility and existence of the pure strategy Nash equilibrium are then established. An iterative algorithm based on best response dynamic is then proposed to determine the feasible pure strategy Nash equilibrium under specific conditions. As the algorithm may not always converge, we devise a strategy refinement mechanism to tackle this issue based on the sum-rate criterion. Simulation results verify our theoretical analysis and findings.
机译:本文提出了一种用于上行链路MIMO蜂窝网络基础上的设备到设备(D2D)通信的资源分配框架。首先,我们的目标是解决具有D2D和蜂窝用户的蜂窝网络的总和最大化问题。提出了一种基于纯随机搜索的算法,用于在不使用穷举搜索的情况下获得最佳资源分配。然后,我们提出了一种非合作式资源分配游戏,用于在更实际的环境中联合自我优化信道分配,功率控制和D2D用户的预编码。然后建立了纯策略纳什均衡的可行性和存在性。然后提出了一种基于最佳响应动力学的迭代算法,以确定在特定条件下可行的纯策略纳什均衡。由于算法可能并不总是收敛,因此我们设计了一种基于求和率准则的策略优化机制来解决此问题。仿真结果验证了我们的理论分析和发现。

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