Energy-Efficiency and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks

📅 2025-01-02
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🤖 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.

Technology Category

Search and Optimization: Distributed SearchConstraint Satisfaction and Optimization: Distributed CSP/OptimizationPlanning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environmentsGraph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphsSecurity and Privacy: Large-scale security measurements
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Energy Efficiency
Spectral Efficiency
Distributed MIMO Networks
Innovation

Methods, ideas, or system contributions that make the work stand out.

Distributed Large-scale MIMO
Energy Efficiency Optimization
Smart Power Allocation
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