Fairness-Aware Spectral and Energy Efficiency in Spectrum-Sharing Wireless Networks

• Published in: IEEE transactions on vehicular technology Vol. 66; no. 11; pp. 10207 - 10219
• Main Authors: Pham, Quoc-Viet, Hwang, Won-Joo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Energy efficiency; fairness; Indexes; Interference; Multiple objective analysis; Optimization; Power consumption; power control; Power efficiency; Resource allocation; Resource management; Signal to noise ratio; Spectra; spectral efficiency; spectrum-sharing wireless networks; Wireless networks
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2017.2717926

This paper introduces a fair and energy-efficient resource allocation framework in spectrum-sharing wireless networks with quality-of-service guarantees. Consider the tradeoff between energy efficiency and spectral efficiency, the multiobjective problem of spectral efficiency and energy efficiency is transformed into a problem that minimizes the total power consumption and maximizes the achievable utility, subject to power constraints and rate outage probability constraints. We then analyze the complexity of the considered problem; particularly, the optimization problem is NP-Hard when 0 <; α <; 1 and α = 0 and is convex for other values of the fairness index α. After that, we adopt the successive convex approximation (SCA) approach to approximate and transform the NP-hard nonconvex optimization problem into a sequence of convex programs and propose two iterative SCAbased resource allocation algorithms. Extensive simulation results are presented to demonstrate the effectiveness and outperformance of the proposed algorithms over existing frameworks.