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Optimal Resource Allocation in Relay-Assisted Cellular Networks With Partial CSI

机译:基于部分CSI的中继辅助蜂窝网络资源优化配置

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摘要

Emerging cellular networks are likely to handle users with heterogeneous quality of service requirements attending to the nature of their underlying service application, the quality of their wireless equipment, or even their contract terms. While sharing the same physical resources (power, bandwidth, transmission time), the utility they get from using them may be very different and arbitrage is needed to optimize the global operation of the network. In this respect, resource allocation strategies maximizing network utility under practical constraints are investigated in this paper. In particular, we focus on a cellular network with half-duplex, MIMO terminals and relaying infrastructure in the form of fixed and dedicated relay stations. Whereas orthogonal-frequency-division multiple access is assumed, it is seen as a frequency diversity enabler since path loss is the only channel state information (CSI) known at the transmitters, which is refreshed periodically. With this setup, the performance of a state-of-the art relay-assisted transmission protocol is characterized in terms of the ergodic achievable rates, for which novel concave lower bounds are developed. The use of these bounds allows us to derive two efficient algorithms computing resource allocations in polynomial time, which address the optimization of the uplink and downlink directions jointly. First, a global optimization algorithm providing one Pareto optimal solution maximizing network utility during the validity period of one CSI is studied, which acts as a performance upper bound. Second, a sequential optimization algorithm maximizing network utility frame by frame is considered as a simpler alternative. The performance of both schemes has been compared in practical scenarios, giving special attention to the performance-complexity and throughput-fairness tradeoffs.
机译:新兴的蜂窝网络可能会处理具有异构服务质量要求的用户,这些用户会关注其底层服务应用的性质、无线设备的质量,甚至合同条款。虽然共享相同的物理资源(功率、带宽、传输时间),但它们从使用中获得的效用可能非常不同,需要套利来优化网络的全球运营。为此,该文研究了在实际约束条件下实现网络效用最大化的资源分配策略。特别是,我们专注于具有半双工、MIMO终端和中继基础设施的蜂窝网络,其形式包括固定和专用中继站。虽然假设正交频分多址,但它被视为频率分集的使能因素,因为路径损耗是发射机上已知的唯一信道状态信息(CSI),该信息会定期刷新。通过这种设置,最先进的继电器辅助传输协议的性能以遍历可实现速率为特征,为此开发了新的凹下限。利用这些边界,我们可以推导出两种有效的算法,在多项式时间内计算资源分配,它们共同解决了上行链路和下行链路方向的优化问题。首先,研究了一种全局优化算法,该算法在1个CSI有效期内提供一个帕累托最优解,最大化网络效用,作为性能上限;其次,逐帧最大化网络效用的顺序优化算法被认为是一种更简单的替代方案。在实际场景中比较了两种方案的性能,特别注意了性能-复杂性和吞吐量-公平性的权衡。

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