RESOURCE ALLOCATION FOR DEVICE-TO-DEVICE COMMUNICATION IN THREE-TIER NETWORK USING STACKELBERG GAME THEORY

Roopsi Rathi, N. Gupta
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Abstract

- Device-to-Device (D2D) underlay cellular networks can s ignificantly improves the user’s throughput. Nevertheless, the three-tier interference between macrocell- femtocell- D2D systems is becoming challenging in the heterogeneous network. In this paper, first we formulated a Stackelberg game approach, with multiple leaders-multiple followers, macrocell base station (M-BS), and femtocell base station (F-BS) as the leaders and D2D pairs as followers. The leaders minimize the interference by charging prices from followers and followers react to this charging price and find an optimal transmit power. In current work D2D pairs are categorized into sub-classes based on their movement inside the network, each class represented to a different utility function. From different utility functions we get the optimal price for leaders and optimal transmit power for followers. The simulation results show that the proposed approach reduces the transmit power according to the D2D users' requirement and improves system throughput.
基于stackelberg博弈论的三层网络中设备间通信的资源分配
-设备到设备(D2D)底层蜂窝网络可以显著提高用户的吞吐量。然而,在异构网络中,macrocell- femtocell- D2D系统之间的三层干扰成为一个挑战。本文首先建立了多领导者-多追随者的Stackelberg博弈方法,其中宏蜂窝基站(M-BS)和飞蜂窝基站(F-BS)为领导者,D2D对为追随者。领导者通过收取追随者的价格来最小化干扰,追随者对这个收费价格做出反应,并找到一个最优的发射功率。在当前的工作中,D2D对根据其在网络中的运动被分类为子类,每个类表示为不同的效用函数。从不同的效用函数得到了领导者的最优价格和追随者的最优传递功率。仿真结果表明,该方法在满足D2D用户需求的基础上降低了发射功率,提高了系统吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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