Abstract
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%.
Original language | English |
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Article number | 5535156 |
Pages (from-to) | 4105-4115 |
Number of pages | 11 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 59 |
Issue number | 8 |
DOIs | |
State | Published - 1 Oct 2010 |
Keywords
- Computational complexity
- multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM)
- quality-of-service (QoS) requirement
- scheduling
- throughput
- utility function