Novel Closed-Form Expressions for Ergodic Capacity of MIMO-OSFBC-OFDM Systems Over Channel Adaptation Policies

In this work, closed-form expressions for capacities per unit bandwidth for MIMO-OFDM systems employing Orthogonal Space-Frequency Block Coding over multipath frequency-selective fading channels are derived for adaptation policies like optimal power and rate adaptation, optimal rate adaptation with constant transmit power, channel inversion with fixed rate, and truncated channel inversion polices. A Signal-to-Noise Ratio based user selection scheme is considered. Optimal power and rate adaptation policy provides the highest capacity over other adaptation policies. Capacity penalty is the highest for optimal rate adaptation with constant transmit power policy, while the performance of channel inversion with fixed rate policy and truncated channel inversion policy lie between that of OPRA and ORA policies.

[1]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[2]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[3]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[4]  Wessam Ajib,et al.  Discrete-Rate Adaptive Multiuser Scheduling for MIMO-OFDM Systems , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[5]  W. C. Y. Lee,et al.  Estimate of channel capacity in Rayleigh fading environment , 1990 .

[6]  Ekram Hossain,et al.  Adaptive radio resource allocation in OFDMA systems: a survey of the state-of-the-art approaches , 2009 .

[7]  Ignacio Santamaría,et al.  Analytical Approximations for the Capacity of Orthogonal SFBC , 2006, 2006 3rd International Symposium on Wireless Communication Systems.

[8]  M.H. Halmi,et al.  Adaptive MIMO-OFDM combining space-time block codes and spatial multiplexing , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[9]  S.K. Syed-Yusof,et al.  Performance evaluation of intercarrier interference self-cancellation schemes for space time frequency block codes MIMO-OFDM system , 2008, 2008 1st IFIP Wireless Days.

[10]  Wessam Ajib,et al.  Performance Analysis of Scheduling Schemes for Rate-Adaptive MIMO OSFBC-OFDM Systems , 2010, IEEE Transactions on Vehicular Technology.

[11]  Vijay K. Bhargava,et al.  Scheduling and Admission Control in Power-Constrained OFDM Wireless Mesh Routers: Analysis and Optimization , 2007, IEEE Transactions on Wireless Communications.

[12]  Hongwei Yang A road to future broadband wireless access: MIMO-OFDM-Based air interface , 2005, IEEE Communications Magazine.

[13]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[14]  Ali Abdi,et al.  Sum of gamma variates and performance of wireless communication systems over Nakagami-fading channels , 2001, IEEE Trans. Veh. Technol..

[15]  Khaled Ben Letaief,et al.  An efficient resource-allocation scheme for spatial multiuser access in MIMO/OFDM systems , 2005, IEEE Transactions on Communications.

[16]  K. Dimyati,et al.  Space Time Frequency Block Codes for MIMO-OFDM system using intercarrier interference self-cancellation schemes , 2008, 2008 Mosharaka International Conference on Communications, Computers and Applications.

[17]  A. Goldsmith,et al.  Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques , 1999, IEEE Transactions on Vehicular Technology.

[18]  Ali Ghrayeb,et al.  Coding for MIMO Communication Systems , 2007 .

[19]  Vidhyacharan Bhaskar,et al.  Spectrum Efficiency Evaluation for MRC Diversity Schemes Under Different Adaptation Policies Over Generalized Rayleigh Fading Channels , 2007, Int. J. Wirel. Inf. Networks.

[20]  John G. Proakis,et al.  Digital Communications , 1983 .

[21]  Lajos Hanzo,et al.  Space-time trellis and space-time block coding versus adaptive Modulation and coding aided OFDM for wideband channels , 2006, IEEE Transactions on Vehicular Technology.

[22]  Dusit Niyato,et al.  Adaptive Fair Subcarrier/Rate Allocation in Multirate OFDMA Networks: Radio Link Level Queuing Performance Analysis , 2006, IEEE Transactions on Vehicular Technology.

[23]  Khaled Ben Letaief,et al.  Multiuser adaptive subcarrier-and-bit allocation with adaptive cell selection for OFDM systems , 2004, IEEE Transactions on Wireless Communications.