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An Improved K-Best MIMO Detection Algorithm for Parallel Programmable Baseband Architecture

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 238))

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Abstract

In MIMO-OFDM systems with multiple layers spatial multiplexing and high-order QAM, efficient MIMO detection is very significant for receiver design. Among current MIMO detection algorithms, K-Best is a prevailing algorithm with fixable balance between performance and complexity. However, the current K-Best and its varieties are not suitable for parallel programmable baseband architecture, such as DSP with VLIW, SIMD, or vector processing features. In this chapter, an improved K-Best detection algorithm is proposed, and an efficient soft-output algorithm is designed. Simulation results show that its performance is near to general K-Best with lowered time complexity, especially under high SNR. Using this algorithm, the system throughput can be increased in times.

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References

  1. Foschini GJ, Gans MJ (1998) On limits of wireless communications in a fading environment when using multiple antennas. Wirel Personal Commun 6(3):311–335

    Article  Google Scholar 

  2. Telatar E (1999) Capacity of multi-antenna Gaussian channels. Eur Trans Telecomm 10(6):585–595

    Article  Google Scholar 

  3. Ong EH, Kneckt J, Alanen O et al (2011) IEEE 802.11ac: enhancements for very high throughput WLANs. 2011 I.E. 22nd international symposium on personal indoor and mobile radio communications (PIMRC), pp 849–853

    Google Scholar 

  4. Ghosh A, Ratasuk R, Mondal B et al (2010) LTE-advanced: next-generation wireless broadband technology. IEEE Wirel Commun 17(3):10–22

    Article  Google Scholar 

  5. Ahmadi S (2009) An overview of next-generation mobile WiMAX technology. IEEE Commun Mag 47(6):84–98

    Article  MathSciNet  Google Scholar 

  6. Golden GD, Foschini CJ, Valenzuela RA et al (1999) Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture. Electron Lett 35(1):14–16

    Article  Google Scholar 

  7. Haykin S, Sellathurai M, De Jong Y et al (2004) Turbo-MIMO for wireless communications. IEEE Commun Mag 42(10):48–53

    Article  Google Scholar 

  8. Damen MO, El Gamal H, Caire G (2003) On maximum-likelihood detection and the search for the closest lattice point. IEEE Trans Inf Theory 49(10):2389–2402

    Article  MathSciNet  Google Scholar 

  9. Fincke U, Phost M (1985) Improved methods for calculating vectors of short length in a lattice, including a complexity analysis. Math Comput 44(4):463–471

    MATH  Google Scholar 

  10. David LM, Emesto Z, John RB, Gerhard F (2008) A framework for fixed complexity breadth-first MIMO detection. In: Proceedings of IEEE 10th international symposium on spread spectrum, Bologna, Italy, Aug, pp 129–132

    Google Scholar 

  11. Chan AM, Lee I (2002) A new reduced-complexity sphere decoder for multiple antenna systems. IEEE Int Conf Commun 1(7):460–464

    Google Scholar 

  12. Fasthuber R, Li M, Novo D, Raghavan P, Van der Perre L, Catthoor F (2009) Novel energy-efficient scalable soft-output SSFE MIMO detector architectures. ICSAMOS, pp 165–171

    Google Scholar 

  13. Shabany M, Vahdat BV (2010) A modified complex K-Best scheme for high-speed hard-output MIMO detectors. 2010 53rd IEEE international Midwest symposium on circuits and systems (MWSCAS), pp 845–848

    Google Scholar 

  14. Shabany M, Su K, Gulak PG (2008) A pipelined scalable high-throughput implementation of a near-ML K-Best complex lattice decoder. ICASSP: IEEE. ISBN 1-4244-1484-9, S. 3173–3176

    Google Scholar 

  15. Li Q, Wang Z (2006) An improved K-Best sphere decoding architecture for MIMO systems. Fortieth Asilomar conference on signals, systems and computers ACSSC’06, pp 2190–2194

    Google Scholar 

  16. Studer C, Bölcskei H (2010) Soft-input soft-output single tree-search sphere decoding. IEEE Trans Inf Theory 56(10):4827–4842

    Article  Google Scholar 

  17. Kawai H et al (2005) Likelihood function for QRM-MLD soft-decision turbo decoding and its performance for OFCDM MIMO multiplexing in multipath fading channel. IEICE Trans Commun E88-B(1):47–56

    Article  Google Scholar 

  18. Boutros JJ, Gresset N et al (2003) Soft-input soft-output lattice decoder for linear channels. GLOBECOM, pp 1583–1587

    Google Scholar 

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Acknowledgments

This work was supported by NSFC (61021001), National Basic Research Program of China (2012CB316002), National S&T Major Project (2010ZX03005-001-02), and China’s 863 Project (Research on the key technology of green networks).

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Correspondence to Cheng Tan .

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Tan, C., Zhao, Y., Zhou, C., Li, Y. (2014). An Improved K-Best MIMO Detection Algorithm for Parallel Programmable Baseband Architecture. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_170

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  • DOI: https://doi.org/10.1007/978-1-4614-4981-2_170

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4980-5

  • Online ISBN: 978-1-4614-4981-2

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