Energy and Spectral Efficiencies Trade-off with Filter Optimization in Multiple Access Interference-Aware

TL;DR

This paper investigates the trade-off between energy efficiency and spectral efficiency in mobile multiple access systems, emphasizing filter optimization and proposing algorithms for optimal resource allocation.

Contribution

It introduces a novel EE-SE trade-off analysis considering filter optimization and develops low-complexity algorithms based on SINR for energy-spectral efficient resource allocation.

Findings

Optimal power allocation maximizes EE at the best SINR response.

Filter choice significantly impacts the EE-SE trade-off.

Proposed algorithms effectively balance energy and spectral efficiencies.

Abstract

This work analyzes the optimized deployment of two resources scarcely available in mobile multiple access systems, i.e., spectrum and energy, as well as the impact of filter optimization in the system performance. Taking in perspective the two conflicting metrics, throughput maximization and power consumption minimization, the distributed energy efficiency (EE) cost function is formulated. Furthermore, the best energy-spectral efficiencies (EE-SE) trade-off is achieved when each node allocates exactly the power necessary to attain the best SINR response, which guarantees the maximal EE. To demonstrate the validity of our analysis, two low-complexity energy-spectral efficient algorithms, based on distributed instantaneous SINR level are developed, and the impact of single and multiuser detection filters on the EE-SE trade-off is analyzed.