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Subcarrier and Power Allocation for Multiuser MIMO-OFDM Systems with Various Detectors

  • Mao, Jing (State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University) ;
  • Chen, Chen (State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University) ;
  • Bai, Lin (School of Electronic and Information Engineering, Beihang University) ;
  • Xiang, Haige (State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University) ;
  • Choi, Jinho (School of Information and Communications, Gwangju Institute of Science and Technology (GIST))
  • Received : 2017.02.17
  • Accepted : 2017.06.22
  • Published : 2017.10.31

Abstract

Resource allocation plays a crucial role in multiuser multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems to improve overall system performance. While previously proposed resource allocation algorithms are mainly designed from the point of view of the information-theoretic, we formulate the resource allocation problem as an average bit error rate (BER) minimization problem subject to a total power constraint when considering employing realistic MIMO detection techniques. Subsequently, we derive the optimal subcarrier and power allocation algorithms for three types of well-known MIMO detectors, including the maximum likelihood (ML) detector, linear detectors, and successive interference cancellation (SIC) detectors. To reduce the complexity, we also propose a two-step suboptimal algorithm that separates subcarrier and power allocation for each detector. We also analyze the diversity gain of the proposed suboptimal algorithms for various MIMO detectors. Simulation results confirm that the proposed suboptimal algorithm for each detector can achieve a comparable performance with the optimal allocation with a much lower complexity. Moreover, it is shown that the suboptimal algorithms perform better than the conventional algorithms that are known in the literature.

Keywords

Acknowledgement

Supported by : National Science Foundation of China (NSFC)

References

  1. "Ieee approved draft standard for it-telecommunications and information exchange between systems-LAN/MAN-specific requirements-part 11: Wireless LAN medium access control and physical layer specifications- amd 4: Enhancements for very high throughput for operation in bands below 6ghz," IEEE P802.11ac/D7.0, pp. 1-456, December, 2013.
  2. "IEEE standard for local and metropolitan area networks part 16: Air interface for fixed and mobile broadband wireless access systems amendment 2: Physical and medium access control layers for combined fixed and mobile operation in licensed bands and corrigendum 1," IEEE Std 802.16e-2005 and IEEE Std 802.16-2004/Cor 1-2005 (Amendment and Corrigendum to IEEE Std 802.16-2004), pp. 1-822, 2006.
  3. C. E. Huang and C. Leung, "BitQoS-aware resource allocation for multi-user mixed-traffic OFDM systems," IEEE Transactions on Vehicular Technology, vol. 61, no. 5, pp. 2067-2082, June, 2012. https://doi.org/10.1109/TVT.2012.2189030
  4. G. Femenias and F. R.-Palou, "Scheduling and Resource Allocation in Downlink Multiuser MIMO-OFDMA Systems," IEEE Transactions on Communications, vol. 64, no. 5, pp. 2019-2034, May, 2016. https://doi.org/10.1109/TCOMM.2016.2547424
  5. N. A. Odhah, E.S. Hassan and et al., "Adaptive Resource Allocation Algorithms for Multi-user MIMO-OFDM Systems," Wireless Personal Communications, vol. 80, no. 1, pp. 51-69, September, 2015. https://doi.org/10.1007/s11277-014-1994-6
  6. M. A. Ali, S. A-Ghadhban and A. S. H. Mahnound, "Resource allocation scheme for MIMO-OFDMA systems with proportional fairness constraints," in Proc. of 2012 IEEE 8th international conference on wireless and Mobile Computing, Networking and Communication (WiMob), pp. 512-516, October 8-10, 2012.
  7. W.-C. Pao, W.-T. Lou, Y.-F. Chen, and D.-C.Chang, "Resource allocation for multiple input multiple output-orthogonal frequency division multiplexing-based space division multiple access systems," IET Communications, vol. 8, no. 18, pp. 3424-3434, December, 2014. https://doi.org/10.1049/iet-com.2014.0104
  8. M. G. Adian and H. Aghaeinia, "Resource allocation in MIMO-OFDM -based cooperative cognitive radio networks," IEEE Transactions on Communications, vol. 62, no. 7, pp. 2224-2235, July, 2014. https://doi.org/10.1109/TCOMM.2014.2327063
  9. Z. Hu, G. Zhu, Y. Xia and G. Liu, "Multiuser subcarrier and bit allocation for MIMO-OFDM systems with perfect and partial channel information," in Proc. of 2004 Wireless Communications and Networking Conference, vol. 2, pp. 1188-1193, March 21-25, 2004.
  10. W. L. Ho and Y.-C. Liang, "Optimal resource allocation for multiuser MIMO-OFDM systems with user rate constraints," IEEE Transactions on Vehicular Technology, vol. 58, no. 3, pp. 1190-1203, March, 2009. https://doi.org/10.1109/TVT.2008.927721
  11. C. Hsu, P. L. Yeoh and B. S. Krongold, "Power minimization in cooperative MIMO-OFDM systems with user fairness constraints," in Proc. of 2015 IEEE Wireless Communications and Networking Conference (WCNC), pp. 93-98, March 9-12, 2015.
  12. M. Moretti, L. Sanguinetti and X. Wang, "Resource allocation for power minimization in the downlink of thp-based spatial multiplexing MIMO-OFDM systems," IEEE Transactions on Vehicular Technology , vol. 64, no. 1, pp. 405-411, April, 2015. https://doi.org/10.1109/TVT.2014.2320587
  13. L. Goldfeld, V. Lyandres and D. Wulich, "Minimum ber power loading for OFDM in fading channel," IEEE Transactions on Communications, vol. 50, no. 11, pp. 1729-1733, November, 2002. https://doi.org/10.1109/TCOMM.2002.805271
  14. N. Wang and S. D. Blostein, "Approximate minimum BER power allocation for MIMO spatial multiplexing systems," IEEE Transactions on Communications, vol. 55, no. 1, pp. 180-187, January, 2007. https://doi.org/10.1109/TCOMM.2006.887503
  15. D. Qin and Y. Wang, "BER Minimization for AF Relay-Assisted OFDM Systems," IEEE Communications Letters, vol. 19, no. 3, pp. 495-498, March, 2015. https://doi.org/10.1109/LCOMM.2015.2393867
  16. A. S. Bedi, J. Akhtar, K. Rajawat and A. K. Jagannatham, "BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix," IEEE Communications Letters, vol. 20, no. 2, pp. 280-283, February, 2016. https://doi.org/10.1109/LCOMM.2015.2506158
  17. V. Lau, Y. Liu, and T.-A. Chen, "On the design of MIMO block fading channels with feedback-link capacity constraint," IEEE Transactions on Communications, vol. 52, no. 1, pp. 62-70, January, 2004. https://doi.org/10.1109/TCOMM.2003.822171
  18. Q. H. Spencer, A. L. Swindlehurst and M. Haardt, "Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels," IEEE Transactions on Signal Processing, vol. 52, no. 2, pp. 461-471, February, 2004. https://doi.org/10.1109/TSP.2003.821107
  19. D. Tse, Fundamentals of wireless communication, Cambridge university press, United Kingdom, 2005.
  20. J. Choi, Optimal combining and detection: statistical signal processing for communications, Cambridge University Press, United Kingdom, 2010.
  21. M. A. Juang and M. B. Pursley, "Power loading for OFDM in tactical packet radio systems," in Proc. of 2011 Military Communication Conference, pp. 572-577, November 7-10, 2011.
  22. S. Verdu, Multiuser detection, Cambridge university press, United Kingdom, 1998.
  23. R.A. Horn, and C.R Johnson, Matrix analysis, Cambridge University Press, England, 2012.
  24. Z.Wang and G. B. Giannakis, "A simple and general parameterization quantifying performance in fading channels," IEEE Transactions on Communications, vol. 51, no. 8, pp. 1389-1398, August, 2003. https://doi.org/10.1109/TCOMM.2003.815053
  25. A. Edelman, "Eigenvalues and condition numbers of random matrices," SIAM Journal on Matrix Analysis and Applications, vol. 9, no. 4, pp. 543-560, October, 1988. https://doi.org/10.1137/0609045
  26. H. Kim and H. Park, "Iterative interference cancellation algorithms for the v-blast system," in Proc. of 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio, vol. 4, pp. 2435-2440, September 11-14, 2005.
  27. J. Xu, S.-J. Lee, W.-S. Kang and J.-S. Seo, "Adaptive resource allocation for MIMO-OFDM based wireless multicast systems," IEEE Transactions on Broadcasting, vol. 56, no. 1, pp. 98-102, March, 2010. https://doi.org/10.1109/TBC.2009.2039691