Coverage Enhancement for OFDM-based Spatial Multiplexing Systems by Scheduling

This paper proposes a low-complexity coverage-oriented subcarriers assignment (COSA) algorithm which can efficiently assign the subchannels to enhance the coverage reliability of the orthogonal frequency division multiplexing (OFDM) based spatial multiplexing systems in the multiuser environment. Motivated by the increasing popularity of OFDM and the multi-input multi-output (MIMO) technique, how to use the multiuser and the frequency diversity simultaneously to improve the coverage reliability of the diversity-deficient multiplexing system is an essential issue. Because the total available transmit power is split uniformly across transmit antennas in the OFDM-based spatial multiplexing systems, increasing the number of transmit antennas leads to a smaller signal-to-noise ratio (SNR) per degree of freedom. Thus we propose the COSA algorithm to enhance the coverage performance of this system. Besides, by means of order statistics and Glivenko- Cantelli Theorem, we develop an analytical expression for the link outage probability and cell coverage reliability of the OFDM-based spatial multiplexing systems when using COSA, respectively.

[1]  Helmut Bölcskei,et al.  Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM , 2003, IEEE J. Sel. Areas Commun..

[2]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[3]  Antonio Ruiz,et al.  Frequency domain data transmission using reduced computational complexity algorithms , 1980, ICASSP.

[4]  Youyun Xu,et al.  Adaptive subcarrier and power allocation for multiuser MIMO-OFDM systems , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[5]  Khaled Ben Letaief,et al.  Adaptive resource allocation for multiaccess MIMO/OFDM systems with matched filtering , 2005, IEEE Transactions on Communications.

[6]  Chiung-Jang Chen,et al.  Enhancing coverage and capacity for multiuser MIMO systems by utilizing scheduling , 2006, IEEE Transactions on Wireless Communications.

[7]  G. Li,et al.  On the optimality of downlink OFDMA MIMO systems , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[8]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[9]  John M. Cioffi,et al.  Increase in capacity of multiuser OFDM system using dynamic subchannel allocation , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[10]  Larry J. Greenstein,et al.  Some results and insights on the performance gains of MIMO systems , 2003, IEEE J. Sel. Areas Commun..

[11]  A. James.  Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[12]  Joong Soo Ma,et al.  Mobile Communications , 2003, Lecture Notes in Computer Science.