Resource and energy efficient device to device communications in downlink cellular system

Resource and energy efficient device to device communications in downlink cellular system
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DOI:
10.1109/wcnc.2018.8377382
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发表时间:
2018-04
期刊:
2018 IEEE Wireless Communications and Networking Conference (WCNC)
影响因子:
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通讯作者:
Fakrulradzi Idris;Jie Tang;D. So
Fakrulradzi Idris;Jie Tang;D. So
中科院分区:
其他
文献类型:
--
作者:
Fakrulradzi Idris;Jie Tang;D. So

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在本文中,我们研究的能量效率(EE)优化的下行正交频分多址(OFDMA)系统与重叠的设备到设备(D2 D)通信。联合EE优化是高度复杂的,而两阶段解决方案将利用蜂窝用户的大部分带宽,而不为D2 D用户提供足够的带宽。使用平衡带宽使用和EE的资源效率(RE)优化方法,我们提出了两阶段解决方案,其优化用于基站(BS)的RE和用于D2 D对的EE。为了实现更高的EE,D2 D通信在非正交模式下操作,其中未被分配给蜂窝用户的每个资源块(RB)由多个D2 D对重用。利用分式规划、Dinkelbach方法、拉格朗日对偶分解、凸函数差分和凹凸过程等一系列优化工具,将原非凸问题转化为一个迭代的两阶段RE-EE解。仿真结果表明,所提出的资源分配方案提供了相当的EE性能的两阶段的EE-EE解决方案的EE上的D2 D用户的显着增益,并实现更高的EE相比,和速率最大化方案。
In this paper, we investigate the energy efficiency (EE) optimization for a downlink orthogonal frequency division multiple access (OFDMA) system with overlaying Device-to-Device (D2D) communications. Joint EE optimization is highly complex while a two-stage solution will utilize most of the bandwidth for cellular users and not providing sufficient bandwidth for D2D users. Using resource efficiency (RE) optimization approach that balances the bandwidth usage and EE, we propose a two-stage solution that optimizes RE for base station (BS) and EE for D2D pairs. To achieve higher EE, D2D communications operate in non-orthogonal mode, where each resource block (RB) not being assigned to the cellular users are reused by multiple D2D pairs. By exploiting a range of optimization tools including fractional programming, Dinkelbach approach, Lagrange dual decomposition, difference of convex functions, and concave-convex procedure, the original non-convex problem is transformed and we present an iterative two-stage RE-EE solution. Simulation results demonstrate that the proposed resource allocation scheme provides comparable EE performance to a two-stage EE-EE solution with significant gain on EE for D2D users, and achieves much higher EE compared to a sum rate maximization scheme.