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Energy Efficiency Maximization of Full-Duplex and Half-Duplex D2D Communications Underlaying Cellular Networks

机译:支持蜂窝网络的全双工和半双工D2D通信的能效最大化

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摘要

Earlier works have studied the energy efficiency (EE) of half-duplex Device-to-Device (D2D) communications. However, the EE of full-duplex D2D communications underlaying cellular networks which undergoes residual self-interference (SI) has not been investigated. In this paper, we focus on the EE of full-duplex D2D communications with uplink channel reuse and compare it with the half-duplex counterpart, aiming to show which mode is more energy-efficient. Our goal is to find the optimal transmission powers to maximize the system EE while guaranteeing required signal-to-interference-plus-noise ratios (SINRs) and transmission power constraints. The optimal power allocation problem is modeled as a noncooperative game, in which each user equipment (UE) is self-interested and wants to maximize its own EE. An optimal iterative bisection-alternate optimization method is proposed to solve the optimization problem from the noncooperative game-theoretic perspective. Simulation results show that the proposed method can achieve EE close to that obtained by an existing method but with lower complexity in half-duplex D2D communications underlaying cellular networks. Moreover, the full-duplex D2D communications underlaying cellular networks outperform the half-duplex D2D communications underlaying cellular networks in terms of EE when effective SI mitigation techniques are applied.
机译:早期的工作研究了半双工设备到设备(D2D)通信的能效(EE)。但是,尚未研究经历蜂窝网络自残(SI)的蜂窝网络下的全双工D2D通信的EE。在本文中,我们将重点放在具有上行链路信道重用的全双工D2D通信的EE上,并将其与半双工对应的EE进行比较,以显示哪种模式更节能。我们的目标是找到最佳的传输功率,以最大程度地提高系统EE的性能,同时保证所需的信号干扰加噪声比(SINR)和传输功率约束。最佳功率分配问题被建模为非合作博弈,其中每个用户设备(UE)都是自利的,并且希望最大化自己的EE。从非合作博弈论的角度出发,提出了一种最优的二等分交替优化方法。仿真结果表明,该方法在蜂窝网络下的半双工D2D通信中可以达到与现有方法相近的EE,但复杂度较低。此外,当应用有效的SI缓解技术时,就蜂窝电话而言,支持蜂窝网络的全双工D2D通信优于支持蜂窝网络的半双工D2D通信。

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  • 来源
    《Mobile Information Systems》 |2016年第5期|2748673.1-2748673.15|共15页
  • 作者单位

    Guilin Univ Elect Technol, Key Lab Cognit Radio & Informat Proc, Guilin 541004, Peoples R China;

    Guilin Univ Elect Technol, Key Lab Cognit Radio & Informat Proc, Guilin 541004, Peoples R China|Guangxi Expt Ctr Informat Sci, Guilin 541004, Peoples R China;

    Guilin Univ Elect Technol, Key Lab Cognit Radio & Informat Proc, Guilin 541004, Peoples R China;

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