Resource allocation for maximizing the device-to-device communications underlaying LTE-Advanced networks

Hongguang Sun, Min Sheng, Xijun Wang, Yan Zhang, Junyu Liu, Kan Wang
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引用次数: 51

Abstract

Device-to-device (D2D) communications as an underlaying LTE-Advanced network has proven to be efficient in improving the network performance and releasing the traffic load of eNodeB. By sharing radio resource with cellular user equipments (CUEs), D2D communications can significantly enhance the overall spectral efficiency. However, the resulting mutual interference may cancel or even outweigh the gain brought by D2D communications. In this paper, we avoid the interference through a well designed resource allocation scheme. We formulate the uplink resource allocation problem where more than one D2D pair can share the same resource with one CUE under the constraint that the SINR requirements of CUEs and admitted D2D pairs are satisfied. The optimization resource allocation is shown to be NP-hard, and an interference degree based Greedy heuristic Resource Allocation algorithm (GRA) is explored to maximize the number of admitted D2D pairs by properly selecting a group of D2D pairs for each CUE. Simulation results show the efficacy of the proposed algorithm.
为实现LTE-Advanced网络下设备间通信的最大化而进行的资源分配
作为LTE-Advanced的底层网络,D2D (Device-to-device)通信在提高网络性能和减轻eNodeB的流量负荷方面已被证明是有效的。D2D通信通过与蜂窝用户设备(CUEs)共享无线电资源,可以显著提高整体频谱效率。然而,由此产生的相互干扰可能会抵消甚至超过D2D通信带来的增益。在本文中,我们通过精心设计的资源分配方案来避免干扰。在满足CUE和允许的D2D对的SINR要求的约束下,提出了多个D2D对可以与一个CUE共享同一资源的上行资源分配问题。提出了一种基于干扰度的贪婪启发式资源分配算法(GRA),通过为每个CUE适当选择一组D2D对来最大化允许的D2D对的数量。仿真结果表明了该算法的有效性。
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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