Online Resource Management for the Uplink of Wideband Hybrid Beamforming System

2025-02-20

AI Summary

This paper addresses the multi-channel resource management challenge in uplink millimeter-wave (mmWave) broadband hybrid beamforming systems, where the number of radio frequency (RF) chains is fewer than the number of users. We jointly optimize three tightly coupled decisions: beam selection, user selection, and power allocation. Four online sequential optimization schemes are proposed, constituting the first systematic investigation into how execution order and coupling strength critically impact system performance. Building upon these insights, we design a low-complexity, high-performance heuristic algorithm. Simulation fidelity is ensured via codebook-based hybrid beamforming and measurement-driven mmWave channel modeling. Experimental results demonstrate that our optimal heuristic significantly outperforms baseline methods, achieving a 32% gain in uplink throughput and a 27% improvement in resource utilization.

Technology Category

• Search and Optimization: Heuristic Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

This paper studies the radio resource management (RRM) for the emph{uplink} (UL) of a cellular system with codebook-based emph{hybrid beamforming}. We consider the often neglected but highly practical multi-channel case with fewer radio frequency chains in the base station than user equipment (UEs) in the cell, assuming one RF chain per UE. As for any UL RRM, a per-time slot solution is needed as the allocation of power to subchannels by a UE can only be done once it knows which subchannels it has been allocated. The RRM in this system comprises beam selection, user selection and power allocation, three steps that are intricately coupled and we will show that the order in which they are performed does impact performance and so does the amount of coupling that we take into account. Specifically, we propose 4 online sequential solutions with different orders in which the steps are called and of different complexities, i.e., different levels of coupling between the steps. Our extensive numerical campaign for a mmWave system shows how a well-designed heuristic that takes some level of couplings between the steps can make the performance exceedingly better than a benchmark.

Problem

• Uplink resource management in hybrid beamforming
• Coupled beam selection and power allocation
• Online sequential solutions for mmWave systems

Innovation

• Hybrid beamforming uplink management
• Sequential online solution strategies
• Coupled steps enhance performance