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A Low-power and Low-complexity Baseband Processor for MIMO-OFDM WLAN Systems

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Abstract

This paper presents an energy-efficient design and the implementation results of a high speed two transmitter—two receiver multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless LAN baseband processor. The proposed processor includes a bit-parallel processing physical layer convergence procedure (PLCP) processor which lowers system clock frequency. A cost-efficient MIMO spatial multiplexing (SM) symbol detector is also proposed in a physical medium dependent (PMD) processor. The proposed symbol detection algorithm is based on a sorted QR decomposition (SQRD) scheme followed by a maximum-likelihood (ML) test. The proposed algorithm shows enhanced performance compared to the conventional algorithms such as SQRD and ordered successive interference cancellation (OSIC) algorithms. The proposed baseband processor supports a maximum data rate of 130 Mbps at a 40 MHz operation frequency. The power consumptions of the PLCP processor are 27 mW and 93 mW for TX and RX modes, respectively, which are reduced by 70% compared with that of a common bit-serial architecture. The complexity of the symbol detector in the PMD processor is reduced by 18% compared with that of the conventional hardware architecture.

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References

  1. Salkintzis, A. K. (2004). Interworking techniques and architectures for WLAN/3G integration toward 4G mobile data networks. IEEE Wireless Communications, 11(3), 50–61.

    Article  Google Scholar 

  2. IEEE (2009). Draft Amendment to standard: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: Enhancements for higher throughput. IEEE P802.11n/D11.0.

  3. Petrus, P., et al. (2007). An integrated draft 802.11n compliant MIMO baseband and MAC processor. In Proceedings of IEEE international solid-state circuits conference (pp. 266–267).

  4. Son, J., Lee, I., & Lee, S. (2007). Asic implementation and verification of MIMO-OFDM transceiver for wireless LAN. In Proceedings of IEEE international symposium on personal, indoor and mobile radio communications (pp. 1–5).

  5. Zargari, M., et al. (2008). A dual-band CMOS MIMO radio SoC for IEEE 802.11n wireless LAN. IEEE Journal of Solid-State Circuits, 43(12), 2882–2895.

    Article  Google Scholar 

  6. Burg, A., et al. (2009). A 4-stream 802.11n baseband transceiver in 0.13μm CMOS. In Proceedings of symposium on VLSI circuits (pp. 282–283).

  7. Chandrakasan, A. P., & Brodersen, R. W. (1995). Minimizing power consumption in digital CMOS circuits. Proceedings of the IEEE, 83(4), 498–523.

    Article  Google Scholar 

  8. Foschini, G. J. (1996). Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas. Bell Labs Technical Journal, 1(2), 41–59.

    Article  Google Scholar 

  9. Wolniansky, P. W., Foschini, G. J., Golden, G. D., & Valenzuela, R. A. (1998). V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Proceedings of URSI international symposium on signals, systems, and electronics (pp. 295–300).

  10. Viterbo, E., & Boutros, J. (1999). A universal lattice code decoder for fading channels, IEEE Transactions on Information Theory, 45(5), 1639–1642.

    Article  MathSciNet  MATH  Google Scholar 

  11. Damen, O., Chkeif, A., & Belfiore, J.-C. (2000). Lattice code decoder for space-time codes. IEEE Communications Letters, 4(5), 161–163.

    Article  Google Scholar 

  12. Jalden, J., & Ottersten, B. (2004). An exponential lower bound on the expected complexity of sphere decoding, In Proceedings of IEEE international conference on acoustics speech and signal processing (Vol. 4, pp. 393–396).

  13. Kawai, H., Higuchi, K., Maeda, N., & Sawahashi, M. (2006). Adaptive control of surviving symbol replica candidates in QRM-MLD for OFDM MIMO multiplexing. IEEE Journal on Selected Areas in Communications, 24(6), 1130–1140.

    Article  Google Scholar 

  14. Studer, C., Burg, A., & Bolcskei, H. (2008). Soft-output sphere decoding: Algorithms and VLSI implementation. IEEE Journal on Selected Areas in Communications, 26(2), 290–300.

    Article  Google Scholar 

  15. Jung, Y., Kim, J., Lee, S., Yoon, H., & Kim, J. (2007). Design and implementation of MIMO-OFDM baseband processor for high-speed wireless LANs. IEEE Transactions on Circuits and Systems II: Express Briefs, 54(7), 631–635.

    Article  Google Scholar 

  16. Im, J., Cho, M., Jung, Y., & Kim, J. (2009). Low-power low-complexity MIMO-OFDM baseband processor for wireless LANs. In Proceedings of IEEE international symposium on circuits and systems (pp. 601–604).

  17. Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16(8), 1451–1458.

    Article  Google Scholar 

  18. Wubben, D., Bohnke, R., Rinas, J., Kuhn, V., & Kammeyer, K. D. (2001). Efficient algorithm for decoding layered space-time codes. IEE Electronics Letters, 37(22), 1348–1350.

    Article  Google Scholar 

  19. Wubben, D., Bohnke, R., Kuhn, V., & Kammeyer, K. D. (2003). MMSE extension of V-BLAST based on sorted QR decomposition. In Proceedings of IEEE Vehicular Technology Conference, 1, 508–512.

  20. Cavus, E., & Daneshrad, B. (2001). A computationally efficient algorithm for space-time block decoding. In Proceedings of IEEE international conference on communications (Vol. 4, pp. 1157–1162).

  21. TGn Channel Models. IEEE 802.11-03/940r4, May 2004.

  22. Tosato, F., & Bisaglia, P. (2002). Simplified soft-output demapper for binary interleaved COFDM with application to HIPERLAN/2. In Proceedings of IEEE international conference on communications (Vol. 2, pp. 664–668).

  23. Adjoudani, A., et al. (2003). Prototype experience for MIMO BLAST over third-generation wireless system, IEEE Journal on Selected Areas in Communications, 21(3), 440–451.

    Article  Google Scholar 

  24. Singh, C. K., Prasad, S. H., & Balsara P. T. (2006). A fixed-point implementation for QR decomposition. In Proceedings of IEEE Dallas/CAS workshop on design, application, integration and software (pp. 75–78).

  25. Weste, N., & Harris, D. (2005). CMOS VLSI Design (pp. 246–249). Addison Wesley.

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Acknowledgements

This work was supported by Mid-career Researcher Program through NRF grant funded by the MEST (No. 2010-0027748).

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Correspondence to Jaeseok Kim.

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Im, J., Cho, M., Jung, Y. et al. A Low-power and Low-complexity Baseband Processor for MIMO-OFDM WLAN Systems. J Sign Process Syst 68, 19–30 (2012). https://doi.org/10.1007/s11265-010-0570-x

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  • DOI: https://doi.org/10.1007/s11265-010-0570-x

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