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首页> 外文期刊>IEEE transactions on wireless communications >Radio Resource Allocation for Device-to-Device Underlay Communication Using Hypergraph Theory
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Radio Resource Allocation for Device-to-Device Underlay Communication Using Hypergraph Theory

机译:使用超图理论进行设备间通信的无线资源分配

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摘要

Device-to-device (D2D) communication has been recognized as a promising technique to offload the traffic for the evolved Node B (eNB). However, D2D transmission as an underlay causes severe interference to both the cellular and other D2D links, which imposes a great technical challenge to radio resource allocation. Conventional graph based resource allocation methods typically consider the interference between two user equipments (UEs), but they cannot model the interference from multiple UEs to completely characterize the interference. In this paper, we study channel allocation using hypergraph theory to coordinate the interference between D2D pairs and cellular UEs, where an arbitrary number of D2D pairs are allowed to share the uplink channels with the cellular UEs. Hypergraph coloring is used to model the cumulative interference from multiple D2D pairs, and thus, eliminate the mutual interference. Simulation results show that the system capacity is significantly improved using the proposed hypergraph method in comparison to the conventional graph based one.
机译:设备到设备(D2D)通信已被公认为是一种有前途的技术,可以减轻演进型节点B(eNB)的流量。但是,D2D传输作为底层会对蜂窝和其他D2D链路造成严重干扰,这给无线电资源分配带来了巨大的技术挑战。基于常规图的资源分配方法通常考虑两个用户设备(UE)之间的干扰,但是它们无法对来自多个UE的干扰进行建模以完全表征干扰。在本文中,我们使用超图理论研究信道分配,以协调D2D对与蜂窝UE之间的干扰,其中允许任意数量的D2D对与蜂窝UE共享上行链路信道。超图着色用于对来自多个D2D对的累积干扰进行建模,从而消除了相互干扰。仿真结果表明,与基于传统图的方法相比,使用所提出的超图方法可以显着提高系统容量。

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