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

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 min...

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Veröffentlicht in:IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) S. 1073 - 1077
Hauptverfasser: Sen Bian, Jiongjiong Song, Min Sheng, Zecai Shao, Jinwei He, Yan Zhang, Yuzhou Li, I Chih-Lin
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.09.2014
Schlagworte:
Adaptive systems
Downlink
Joints
Long Term Evolution
OFDM
Quality of service
Resource management
ISSN:2166-9570
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Zusammenfassung: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.
ISSN:2166-9570
DOI:10.1109/PIMRC.2014.7136326