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Energy-Efficient Resource Allocation in Coordinated Downlink Multicell OFDMA Systems

机译:协作下行多小区OFDMA系统中的节能资源分配

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摘要

In this paper, a resource allocation algorithm for maximizing the energy efficiency (EE) is studied in multicell orthogonal frequency-division multiple-access (OFDMA) wireless networks. The resource allocation is designed based on imperfect channel state information (CSI). Universal frequency reuse is considered, and cochannel interference is dealt with via the cooperation of multiple base stations (BSs) sharing CSI but not user data. We formulate the energy-efficient resource allocation problem as a probabilistic mixed nonconvex optimization problem. The user scheduling, data rate adaptation, and power allocation are jointly designed to maximize the system EE, under the maximum transmitted power constraint and the outage probability constraint. An iterative algorithm is proposed in which the EE keeps improving until algorithm convergence. In each iteration, the energy-efficient power allocation optimization problem is solved by a lower bound problem and a parameterized transformation. Numerical results illustrate the convergence and the effectiveness of the proposed algorithm. In a multicell environment with cochannel interference, the proposed algorithm has large EE gains relative to the spectral efficiency (SE) loss. Compared with noncoordinated methods, the proposed method can achieve higher EE when backhaul power consumption is low.
机译:本文研究了一种在多小区正交频分多址(OFDMA)无线网络中最大化能量效率(EE)的资源分配算法。基于不完美的信道状态信息(CSI)设计资源分配。考虑通用频率重用,并且通过共享CSI但不共享用户数据的多个基站(BS)的协作来处理同信道干扰。我们将高能效资源分配问题表述为概率混合非凸优化问题。在最大发射功率约束和中断概率约束下,共同设计了用户调度,数据速率适配和功率分配,以使系统EE最大化。提出了一种迭代算法,其中EE不断改进,直到算法收敛为止。在每次迭代中,通过下限问题和参数化变换来解决节能型功率分配优化问题。数值结果表明了该算法的收敛性和有效性。在具有同信道干扰的多小区环境中,相对于频谱效率(SE)损耗,该算法具有较大的EE增益。与非协调方法相比,该方法在回程功耗较低时可以实现较高的EE。

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