Bit and power allocation strategy for AMC-based MIMO-OFDMA WiMAX systems

In this paper, we propose a bit and power allocation strategy for adaptive modulation and coding (AMC) based spatial multiplexing multi-input-multi-output (MIMO) orthogonal frequency division multiple access (OFDMA) systems. This strategy aims to maximize the average system throughput by allocating the available resources optimally among the utilized bands depending on the corresponding channel conditions and the total transmission power constraints. The average system throughput is represented as a trade-off criterion between the spectral efficiency and bit error rate (BER). The considered AMC technique utilizes distinct modulation and coding scheme (MCS) options rather than adopting fixed or uncoded approaches. The transmitter divides the OFDMA frame at each transmit antenna into bands depending on the number of active users in an assigned base station (BS). The simulation results show superior performance of the MIMO-AMC-OFDMA system, which adopts the proposed strategy, over other conventional schemes.

[1]  KyungHi Chang,et al.  Aggressive Subchannel Allocation Algorithm for Efficient Dynamic Channel Allocation in Multi-User OFDMA System , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[2]  Wai Ho Mow,et al.  Performance Comparison of Downlink Multiuser MIMO-OFDMA and MIMO-MC-CDMA with Transmit Side Information - Multi-Cell Analysis , 2007, IEEE Transactions on Wireless Communications.

[3]  Loutfi Nuaymi,et al.  Wimax Technology for Broadband Wireless Access , 2007 .

[4]  Kenneth W. Shum,et al.  Fair Resource Allocation for the Gaussian Broadcast Channel with ISI , 2009, IEEE Transactions on Communications.

[5]  Wai Ho Mow,et al.  Adaptive Resource Allocation and Capacity Comparison of Downlink Multiuser MIMO-MC-CDMA and MIMO-OFDMA , 2007, IEEE Transactions on Wireless Communications.

[6]  Dimitri P. Bertsekas,et al.  Constrained Optimization and Lagrange Multiplier Methods , 1982 .

[7]  Luc Vandendorpe,et al.  Bit and Power Allocation for Goodput Optimization in Coded Parallel Subchannels With ARQ , 2008, IEEE Transactions on Signal Processing.

[8]  Louay M. A. Jalloul,et al.  Performance Evaluation of MIMO in IEEE802.16e/WiMAX , 2008, IEEE Journal of Selected Topics in Signal Processing.

[9]  Hermann Rohling,et al.  Performance analysis of Viterbi decoding for 64-DAPSK and 64-QAM modulated OFDM signals , 1998, IEEE Trans. Commun..

[10]  Robert Schober,et al.  Error Rate Analysis for Coded Multicarrier Systems Over Quasi-Static Fading Channels , 2007, IEEE Trans. Commun..

[11]  Upamanyu Madhow Fundamentals of Digital Communication: References , 2008 .

[12]  Sonia Aïssa,et al.  Dynamic resource allocation with beamforming for MIMO OFDM systems: performance and effects of imperfect CSI , 2007, IEEE Transactions on Wireless Communications.