Device-to-Device (D2D) communication is one of the enabling technologies for 5G networks that support proximity-based service (ProSe) for wireless network communications. This paper proposes a power control algorithm based on the Nash equilibrium and game theory to eliminate the interference between the cellular user device and D2D links. This leads to reliable connectivity with minimal power consumption in wireless communication. The power control in D2D is modeled as a non-cooperative game. Each device is allowed to independently select and transmit its power to maximize (or minimize) user utility. The aim is to guide user devices to converge with the Nash equilibrium by establishing connectivity with network resources. The proposed algorithm with pricing factors is used for power consumption and reduces overall interference of D2Ds communication. The proposed algorithm is evaluated in terms of the energy efficiency of the average power consumption, the number of D2D communication, and the number of iterations. Besides, the algorithm has a relatively fast convergence with the Nash Equilibrium rate. It guarantees that the user devices can achieve their required Quality of Service (QoS) by adjusting the residual cost coefficient and residual energy factor. Simulation results show that the power control shows a significant reduction in power consumption that has been achieved by approximately 20% compared with algorithms in [11].
翻译:D2D 的电源控制是支持近距离服务(ProSe)无线网络通信的5G网络的赋能技术之一,它支持无线网络通信的近距离服务(ProSe) 。本文提议了基于纳什平衡和游戏理论的电源控制算法,以消除蜂窝用户装置和D2D链接之间的干扰。这导致无线通信中电源消耗最小的可靠连接。D2D 的电源控制模式是一个不合作游戏。允许每个设备独立选择和传输其电源,以最大限度地(或最大限度地)用户使用率。其目的是指导用户设备与纳什平衡一致,与网络资源建立连接。提议的带有价格因素的算法用于电力消耗,并减少D2D通信的总体干扰。提议的算法是从平均电耗耗能的能源效率、D2D通信的数量和电源数等方面加以评估的。此外,该算法与Nash Equilibirium比率相对快的趋同。它保证用户设备能够通过调整剩余成本系数和残余能源消费系数来显著降低20的能量控制结果。</s>