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Group-Sparse-Based Joint Power and Resource Block Allocation Design of Hybrid Device-to-Device and LTE-Advanced Networks

机译:基于组稀疏的混合设备到设备和LTE-Advanced网络的联合功率和资源块分配设计

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摘要

In this paper, a joint power and resource block (RB) allocation (JPRBA) algorithm with low complexity is proposed, which addresses the intra-and-inter-cell interference management problem for a multicell device-to-device (D2D) communication underlaying LTE-Advanced network. We first introduce a power control and resource allocation vector (PORAV) to each D2D transmitter, and the set of all PORAV has two functions: one is to select appropriate reused RBs for each D2D link, whereas the other is to determine the optimal power for D2D transmitters on each selected RB. To obtain the appropriate PORAVs, we exploit the group sparse structure to formulate a sum rate maximization problem (referred to as the group least absolute shrinkage and selection operator programming). Then we derive the stationary solution by solving its equivalent sparse weighted mean square error minimization problem. Finally, simulation results show that the proposed JPRBA algorithm can efficiently improve the total throughput.
机译:本文提出了一种低复杂度的联合功率和资源块(RB)分配(JPRBA)算法,该算法解决了多小区设备到设备(D2D)通信底层的小区间干扰管理问题LTE高级网络。我们首先为每个D2D发射机引入功率控制和资源分配矢量(PORAV),所有PORAV的集合具有两个功能:一个是为每个D2D链路选择适当的重用RB,而另一个是确定用于每个选定RB上的D2D发送器。为了获得适当的PORAV,我们利用组稀疏结构来制定求和率最大化问题(称为组最小绝对收缩和选择算子编程)。然后,通过求解其等效的稀疏加权均方误差最小化问题,得出平稳解。最后,仿真结果表明,所提出的JPRBA算法可以有效地提高总吞吐量。

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