標題: A Utility-Based TMCR Scheduling Scheme for Downlink Multiuser MIMO-OFDMA Systems
作者: Yen, Chih-Ming
Chang, Chung-Ju
Wang, Li-Chun
電信工程研究所
Institute of Communications Engineering
關鍵字: Computational complexity;multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM);quality-of-service (QoS) requirement;scheduling;throughput;utility function
公開日期: 1-十月-2010
摘要: In this paper, a utility-based throughput maximization and complexity-reduction (U_TMCR) scheduling scheme is proposed for downlink multiuser multiple-input-multiple-output orthogonal frequency-division multiple-access (MIMO-OFDMA) systems. The U_TMCR scheme allocates subchannels, antenna sequence, and modulation order to multimedia users with goals not only to maximize system throughput under quality-of-service (QoS) guarantee but to reduce computational complexity as well. Based on the channel quality and the QoS requirements of each user, the U_TMCR scheme designs a utility function for every user and formulates the scheduling into an optimization problem of overall system utility function subject to system constraints. It also contains a heuristic TMCR algorithm to efficiently solve the optimization problem. Simulation results show that the U_TMCR scheme achieves system throughput very close to the optimal solution by exhaustive search and higher than conventional schemes such as adaptive radio resource allocation (ARRA) and cross-layer design of packet scheduling (CDPS) by about 8% and 21%, respectively. The U_TMCR scheme also has a QoS satisfaction ratio that is better than the ARRA and CDPS schemes. Moreover, the U_TMCR scheme can reduce computational complexity. Generally, the total number of allocation trials of the U_TMCR scheme in a frame is smaller than that of the ARRA scheme by 6.25%-29.2%.
URI: http://dx.doi.org/10.1109/TVT.2010.2062546
http://hdl.handle.net/11536/32104
ISSN: 0018-9545
DOI: 10.1109/TVT.2010.2062546
期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume: 59
Issue: 8
起始頁: 4105
結束頁: 4115
顯示於類別:期刊論文


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