Abstract:
In this paper, we propose a two-stage analog combining architecture for millimeter wave (mmWave) communications with hybrid analog to digital beamforming and low-resoluti...Show MoreMetadata
Abstract:
In this paper, we propose a two-stage analog combining architecture for millimeter wave (mmWave) communications with hybrid analog to digital beamforming and low-resolution analog-to-digital converters (ADCs). We first derive a two-stage combining solution by solving a mutual information (MI) maximization problem without a constant modulus constraint on analog combiners. With the derived solution, the proposed receiver architecture splits the analog combining into a channel gain aggregation stage followed by a spreading stage to maximize the MI by effectively managing quantization error. We show that the derived two-stage combiner achieves the optimal scaling law with respect to the number of radio frequency (RF) chains and maximizes the MI for homogeneous singular values of a MIMO channel. Then, we develop a two-stage analog combining algorithm to implement the derived solution under a constant modulus constraint for mmWave channels. Simulation results validate the algorithm performance in terms of MI.
Date of Conference: 20-24 May 2019
Date Added to IEEE Xplore: 15 July 2019
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Wireless Networking and Communication Group, The University of Texas at Austin
Wireless Networking and Communication Group, The University of Texas at Austin
Wireless Networking and Communication Group, The University of Texas at Austin
Wireless Networking and Communication Group, The University of Texas at Austin
Wireless Networking and Communication Group, The University of Texas at Austin
Wireless Networking and Communication Group, The University of Texas at Austin