For low-resolution analog-to-digital converter (ADC) systems, only high-complexity receive antenna selection has been developed and transmit antenna selection has been limited to a single antenna selection in prior work. In this paper, we propose low-complexity receive antenna selection algorithms and analyze transmit antenna selection by considering antenna selection at a base station with large antenna arrays and low-resolution ADCs. For downlink antenna selection, we show a selection criterion with zero-forcing precoding equivalent to a perfect quantization system; sum rate increases with number of selected antennas; derivation of the sum rate loss function from using a antenna subset; and sum rate loss reaches a maximum at a point of total transmit power and decreases beyond that point to converge to zero. For wideband orthogonal-frequency-division-multiplexing (OFDM) systems, our results hold when entire subcarriers share a common subset of antennas. For uplink antenna selection, we generalize a greedy antenna selection criterion; propose a quantization-aware fast antenna selection algorithm using the criterion; and derive a lower bound on sum rate achieved by the proposed algorithm. For wideband OFDM systems, we extend our algorithm and derive a lower bound on its sum rate. Simulation results validate theoretical analyses and show increases in sum rate over conventional algorithms.

中文翻译：

---

低分辨率 ADC 系统的基站天线选择

对于低分辨率模数转换器 (ADC) 系统，仅开发了高复杂度的接收天线选择，而在先前的工作中，发射天线选择仅限于单个天线选择。在本文中，我们提出了低复杂度的接收天线选择算法，并通过考虑具有大型天线阵列和低分辨率 ADC 的基站的天线选择来分析发射天线选择。对于下行链路天线选择，我们展示了一个与完美量化系统等效的迫零预编码选择标准；总速率随着所选天线的数量而增加；从使用天线子集推导出总速率损失函数；并且总速率损失在总发射功率的某一点处达到最大值并在该点之后减小以收敛到零。对于宽带正交频分复用 (OFDM) 系统，当整个子载波共享一个公共天线子集时，我们的结果成立。对于上行天线选择，我们概括了贪婪天线选择标准；提出了一种使用该准则的量化感知快速天线选择算法；并推导出由所提出的算法实现的总和率的下限。对于宽带 OFDM 系统，我们扩展了我们的算法并推导出其总速率的下限。仿真结果验证了理论分析，并显示了与传统算法相比总速率的增加。提出了一种使用该准则的量化感知快速天线选择算法；并推导出由所提出的算法实现的总速率的下限。对于宽带 OFDM 系统，我们扩展了我们的算法并推导出其总速率的下限。仿真结果验证了理论分析，并显示了与传统算法相比总速率的增加。提出了一种使用该准则的量化感知快速天线选择算法；并推导出由所提出的算法实现的总速率的下限。对于宽带 OFDM 系统，我们扩展了我们的算法并推导出其总速率的下限。仿真结果验证了理论分析，并显示了与传统算法相比总速率的增加。