Maximizing Energy Efficiency in the Vector Precoded MU-MISO Downlink by Selective Perturbation
Maximizing Energy Efficiency in the Vector Precoded MU-MISO Downlink by Selective Perturbation
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DOI：
10.1109/twc.2014.2329480
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发表时间：
2014-09
影响因子：
10.4
通讯作者：
C. Masouros;M. Sellathurai;T. Ratnarajah
中科院分区：
文献类型：
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作者：
C. Masouros;M. Sellathurai;T. Ratnarajah
提出了一种用于多用户多输入单输出（MU-MISO）系统下行链路的能量有效的矢量扰动（VP）技术。与其中对扰动向量的搜索涉及所有用户的符号的常规VP相反，在此，将扰动应用于所发送的符号的子集。因此，这引入了性能-复杂度权衡，其中通过限制球体搜索的维度，以与VP相比的性能损失为代价，与VP相比，复杂度大大降低。通过改变受干扰用户的子集的大小，可以控制上述权衡以最大化能量效率。我们进一步提出了三个不同的标准来选择要扰动哪些用户的符号，每个标准都会产生不同的性能-复杂度权衡。所提出的分析和仿真结果表明，部分扰动的数据提供了一个有利的权衡，特别是在低功率传输，其中与信号处理相关的功耗成为主导。事实上，它表明，多样性接近一个传统的VP可以实现在能源效率水平提高高达300%相比，VP。
We propose an energy-efficient vector perturbation (VP) technique for the downlink of multiuser multiple-input-single-output (MU-MISO) systems. In contrast to conventional VP where the search for perturbation vectors involves all users' symbols, here, the perturbation is applied to a subset of the transmitted symbols. This, therefore, introduces a performance-complexity tradeoff, where the complexity is greatly reduced compared to VP by limiting the dimensions of the sphere search, at the expense of a performance penalty compared to VP. By changing the size of the subset of perturbed users, the aforementioned tradeoff can be controlled to maximize energy efficiency. We further propose three distinct criteria for selecting which users' symbols to perturb, each of which yields a different performance-complexity tradeoff. The presented analytical and simulation results show that partially perturbing the data provides a favorable tradeoff, particularly at low-power transmission where the power consumption associated with the signal processing becomes dominant. In fact, it is shown that diversity close to the one for conventional VP can be achieved at energy efficiency levels improved by up to 300% compared to VP.