论文标题
具有分辨率自适应ADC的可重新配置智能表面辅助毫米波系统的上行链路可实现的速率最大化
Uplink Achievable Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems with Resolution-Adaptive ADCs
论文作者
论文摘要
在这封信中，我们研究了可重构智能表面（RIS）辅助毫米波（MMWAVE）多用户系统的上行链路。然而，在考虑的系统中，当采用了大量的天线阵列以及使用电源模拟对数字转换器（ADC）时，就会出现硬件成本和功耗的问题。为了说明实际的硬件复杂性，我们认为访问点（AP）配备了分辨率 - 自适应类似于数字转换器（RADC）。我们通过共同优化ADC量化位，RIS相移和梁选择矩阵来最大化硬件约束下的可实现率。由于可行的集合和目标函数的非跨性别性，配制的问题是非凸面且难以解决的。为了有效解决此问题，提出了基于块协调下降（BCD）的算法。模拟表明，RIS可以减轻由于使用RADC而导致的硬件损失，并且提出的基于BCD的算法的表现优于最先进的算法。
In this letter, we investigate the uplink of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multi-user system. In the considered system, however, problems with hardware cost and power consumption arise when massive antenna arrays coupled with power-demanding analog-to-digital converters (ADCs) are employed. To account for practical hardware complexity, we consider that the access point (AP) is equipped with resolution-adaptive analog-to-digital converters (RADCs). We maximize the achievable rate under hardware constraints by jointly optimizing the ADC quantization bits, the RIS phase shifts, and the beam selection matrix. Due to the non-convexity of the feasible set and objective function, the formulated problem is non-convex and difficult to solve. To efficiently tackle this problem, a block coordinated descent (BCD)-based algorithm is proposed. Simulations demonstrate that an RIS can mitigate the hardware loss due to use of RADCs, and that the proposed BCD-based algorithm outperforms state-of-the-art algorithms.
