Sum-rate maximization in OFDMA downlink systems: A joint subchannels, power, and MCS allocation approach

• Published in: IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) pp. 1073 - 1077
• Main Authors: Sen Bian, Jiongjiong Song, Min Sheng, Zecai Shao, Jinwei He, Yan Zhang, Yuzhou Li, I Chih-Lin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2014
• Subjects: Adaptive systems; Downlink; Joints; Long Term Evolution; OFDM; Quality of service; Resource management
• ISSN: 2166-9570
• DOI: 10.1109/PIMRC.2014.7136326

In this paper, by jointly considering subchannels, power, and Modulation and Coding Scheme (MCS) allocation, we address the sum-rate maximization problem in OFDMA downlink systems. We formulate the problem as an integer linear programming (ILP), which maximizes the system sum-rate subject to the minimum rate requirements of users and total transmit power constraint of base station. To solve the formulation with low complexity, we propose a two-level iterative Subchannels, Power, and MCS allocation Algorithm (SPMA) by exploiting Tabu Search (TS). At each iteration, the SPMA firstly assigns MCS to users and then allocates subchannels and power based on a SubChannels and Power allocation Algorithm (SCPA). Particularly, the SCPA maximizes the system sum-rate by first satisfying the minimum rate requirements with the least transmit power. Simulation results show that the SPMA outperforms the existing algorithms in terms of sum-rate and average rate per user, as well as demonstrate that the sum-rate is distributed flexibly among users in instantaneous channel conditions with the SPMA.