Optimized Uplink Transmission for C-RAN with Hybrid Analog-digital Beamforming and Resolution-adaptive ADCs

Min Hua, Fei Gao, Xinlai Luo, Wenqing Li, Zhiyong Chen, Bin Xia
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Abstract

In this paper, we consider the uplink in a cloud radio access network, where analog-beamforming and resolution- adaptive ADCs are adopted at each the network remote radio heads (RRH) with large number of antennas. To maximize the minimum uplink signal-to-interference-plus-noise ratio over all users, the transmit power at the users, the analog beamforming and the quantization bit allocation at each RRH, and the digital beamforming at the baseband processing unit are jointly optimized. Specifically, we consider a limited fronthaul capacity and per-user power constraint as well as the modulus constraint on the analog beamforming elements. The analog combiner for an RF chain is designed to maximize the effective channel gain of the selected user while reducing the inter-user interference in a distributed manner at each RRH. For a given analog combiner, the user power, quantization bit allocation at each RRH, and the digital beamforming are jointly designed via an alternating optimization technique. Numerical results show the resulting significant performance advantage of the proposed scheme.
基于混合模数波束形成和分辨率自适应adc的C-RAN上行传输优化
在本文中,我们考虑了云无线接入网中的上行链路,其中在每个具有大量天线的网络远程无线电头(RRH)上采用模拟波束形成和分辨率自适应adc。为了使所有用户的上行信噪比最小最大化,对用户处的发射功率、各RRH处的模拟波束形成和量化位分配以及基带处理单元处的数字波束形成进行了联合优化。具体来说,我们考虑了有限的前传容量和每用户功率约束以及模拟波束形成元件的模量约束。射频链的模拟合成器旨在最大限度地提高所选用户的有效信道增益,同时在每个RRH以分布式方式减少用户间干扰。对于给定的模拟组合器,通过交替优化技术对用户功率、各RRH处量化位分配和数字波束形成进行了共同设计。数值结果表明,该方案具有显著的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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