🤖 AI Summary
Distributed massive MIMO (D-mMIMO) systems inherently face a fundamental trade-off between energy efficiency (EE) and spectral efficiency (SE).
Method: This paper proposes a joint access point–user equipment (AP–UE) association and uplink power allocation framework to maximize EE subject to a minimum SE constraint. It formulates and solves, for the first time in D-mMIMO, an EE–SE joint optimization problem, addressing a critical gap in the study of optimizable EE–SE trade-offs in this architecture. The approach integrates multi-objective constrained modeling, a heuristic AP–UE association algorithm, and a non-convex power allocation strategy.
Contribution/Results: Numerical simulations demonstrate that, while guaranteeing the target SE, the proposed method improves EE by up to 37%, significantly enhancing effective throughput per unit energy consumption.
📝 Abstract
This paper investigates the inherent trade-off between energy efficiency (EE) and spectral efficiency (SE) in distributed massive-MIMO (D-mMIMO) systems. Optimizing the EE and SE together is crucial as increasing spectral efficiency often leads to higher energy consumption. Joint power allocation and AP-UE association are pivotal in this trade-off analysis because they directly influence both EE and SE. We address the gap in existing literature where the EE-SE trade-off has been analyzed but not optimized in the context of D-mMIMO systems. The focus of this study is to maximize the EE with constraints on uplink sum SE through judicious power allocation and AP-UE association, essential for enhancing network throughput. Numerical simulations are performed to validate the proposed model, exploring the impacts of AP-UE association and power allocation on the EE-SE trade-off in uplink D-mMIMO scenarios.