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Energy-Efficiency Analysis and Optimization for Virtual-MIMO Systems

机译:虚拟MIMO系统的能效分析和优化

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Virtual multiple-input–multiple-output (MIMO) systems using multiple antennas at the transmitter and a single antenna at each of the receivers have recently emerged as an alternative to point-to-point MIMO systems. This paper investigates the relationship between energy efficiency (EE) and spectral efficiency (SE) for a virtual-MIMO system that has one destination and one relay using compress-and-forward (CF) cooperation. To capture the cost of cooperation, the power allocation (between the transmitter and the relay) and the bandwidth allocation (between the data and cooperation channels) are studied. This paper derives a tight upper bound for the overall system EE as a function of SE, which exhibits good accuracy for a wide range of SE values. The EE upper bound is used to formulate an EE optimization problem. Given a target SE, the optimal power and bandwidth allocation can be derived such that the overall EE is maximized. Results indicate that the EE performance of virtual-MIMO is sensitive to many factors, including resource-allocation schemes and channel characteristics. When an out-of-band cooperation channel is considered, the performance of virtual-MIMO is close to that of the MIMO case in terms of EE. Considering a shared-band cooperation channel, virtual-MIMO with optimal power and bandwidth allocation is more energy efficient than the noncooperation case under most SE values.
机译:最近出现了使用发射器上的多个天线和每个接收器上的单个天线的虚拟多输入多输出(MIMO)系统,作为点对点MIMO系统的替代方案。本文研究了使用压缩转发(CF)协作的具有一个目标和一个中继的虚拟MIMO系统的能效(EE)与频谱效率(SE)之间的关系。为了捕获合作成本,研究了功率分配(在发射机与中继之间)和带宽分配(在数据与合作信道之间)。本文得出了作为SE的函数的整个系统EE的上限,它在很大的SE值范围内都具有良好的精度。 EE上限用于制定EE优化问题。给定目标SE,可以得出最佳功率和带宽分配,以使整个EE最大化。结果表明,虚拟MIMO的EE性能对许多因素敏感,包括资源分配方案和信道特性。当考虑带外协作信道时,就EE而言,虚拟MIMO的性能接近MIMO情况。考虑共享频带协作信道,在大多数SE值下,具有最佳功率和带宽分配的虚拟MIMO比非协作情况更节能。

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