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首页> 外文期刊>IEEE Transactions on Cognitive Communications and Networking >Interference Mitigation Via Cross-Tier Cooperation in Heterogeneous Cloud Radio Access Networks
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Interference Mitigation Via Cross-Tier Cooperation in Heterogeneous Cloud Radio Access Networks

机译:异构云无线电接入网络中的交叉层合作干扰减缓

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In this paper, a cross-tier cooperation framework in H-CRAN is proposed to mitigate inter-tier interference. Specifically, a small cell remote radio head (S-RRH) acts as the relay for multiple macrocell users (MUEs), and obtains a fraction of time slot from multiple MUEs as a reward. Through the cooperation, the S-RRHs can obtain extra spectrum resource for serving small cell users (SUEs) which are secondary users, while the MUEs which are primary users can improve their data transmission utility. The cooperation problem is formulated as a mixed integer programming, which is NP-hard. To solve this problem, we transform the cooperation problem into a joint cooperation time and power allocation problem and a cooperator selection problem. First, we solve the joint cooperation time and power allocation problem to obtain the maximum cooperation utility of all the possible cooperating pairs. We derive the closed-form solution for the allocation problem by using linear independence constraint qualification and Karush-Kuhn-Tucker conditions. Then, we solve the cooperator selection problem by a two-sided matching algorithm. Extensive simulation results show that the utility of macrocell networks and small cell networks can be improved by adopting the proposed cooperation framework, and the cooperator selection result is stable and close-to-optimal.
机译:本文提出了H-CRAN中的交叉层合作框架来减轻层间干扰。具体地,小小区远程无线电头(S-RRH)用作多个宏小区用户(MUE)的继电器,并且从多个MUE作为奖励获得从多个MUE的一部分时间槽。通过合作,S-RRH可以获得用于为辅助用户提供的小型小区用户(SUE)的额外频谱资源,而主要用户的MUE可以提高其数据传输实用程序。合作问题被制定为混合整数编程,这是NP-HARD。为解决这个问题,我们将合作问题转化为联合合作时间和权力分配问题以及合作者选择问题。首先,我们解决了联合合作时间和电力分配问题,以获得所有可能的合作配对的最大合作效用。我们通过使用线性独立约束资格和karush-kuhn-tucker条件来派生封闭式解决问题。然后,我们通过双面匹配算法解决合作者选择问题。广泛的仿真结果表明,通过采用拟议的合作框架,可以提高宏小区网络和小型电池网络的效用,合作者选择结果稳定而近距离。

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