Efficient resource allocation algorithms for high energy efficiency with fairness among users in OFDMA networks

• Published in: Engineering science and technology, an international journal Vol. 23; no. 5; pp. 982 - 988
• Main Authors: Mohammadian, Zahra, Dehghani, Mohammad Javad, Eslami, Mohsen
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020; Elsevier
• Subjects: Energy efficiency; Fairness; Orthogonal frequency-division multiple access (OFDMA); Power allocation; Resource allocation; Subchannel assignment; Subchannel assignment; Orthogonal frequency-division multiple access (OFDMA); Energy efficiency; Power allocation; Fairness; Resource allocation
• ISSN: 2215-0986; 2215-0986
• DOI: 10.1016/j.jestch.2020.01.003

In this article, we devise two efficient radio resource allocation algorithms in order to increase fair energy efficiency among users of OFDMA networks. The objective function is considered to be the well-known max-min function in order for allocating radio resources fairly in terms of energy efficiency, by taking the maximum transmit power, minimum rate requirements, and subchannel assignment constraints into account. The resulting problem is a nonconvex mixed-integer nonlinear problem for which two algorithms are proposed. In the first proposed algorithm, by reallocating the transmit power on subchannels, we obtain a suitable subchannel assignment with high fair energy efficiency. In the second proposed algorithm, by applying generalized fractional programming, mathematically modifying the objective function and constraints to a continuous and convex form and employing sequential convex programming, we allocate power and subchannel jointly. The proposed algorithms efficiently utilize radio resources and therefore, yield a far better performance than available solutions.