Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs

TL;DR

This paper proposes a novel joint user scheduling and resource allocation method for mmWave uplink systems with adaptive-resolution ADCs, optimizing throughput through fractional programming and a P-BSCA algorithm.

Contribution

It introduces a new optimization framework for joint scheduling and resource allocation in mmWave systems with RADCs, utilizing fractional programming and Ky Fan n-norm for improved efficiency.

Findings

Significant throughput improvement over benchmark schemes

Enhanced flexibility in resource allocation

Effective optimization using fractional programming and P-BSCA

Abstract

Millimeter wave (mmWave) communication systems using adaptive-resolution analog-to-digital converters (RADCs) have recently drawn considerable interests from the research community as benefit of their high energy efficiency and low implementation cost. In this paper, we focus on the mmWave uplink using RADCs and investigate the joint user scheduling and resource allocation problem. Specifically, we seek to maximize the system throughput of the scheduled users by jointly optimizing their transmit power level and hybrid combiners as well as the number of quantization bits, subject to practical constraints. By relying on fractional programming (FP) techniques, we first covert this problem into a form amenable to optimization and exploit the specific structures in its solutions with the aid of the so-called Ky Fan n-norm. Then, the resultant optimization problem is solved using a penalty block successive concave approximation (P-BSCA) algorithm. Our numerical results reveal that the proposed algorithm substantially enhances the throughput of the scheduled users compared to the state-of-theart benchmark schemes and provides more flexible and efficient resource allocation control.