Reduced Complexity by Combining Norm Based Ordering MMSE-BSIDE Detection in MIMO Systems

• Autorzy: Jothikumar R. , Rangaswamy N.

Identyfikatory

DOI

10.1515/eletel-2017-0041

• Języki publikacji: EN

Abstrakty

EN

The breadth first signal decoder (BSIDE) is well known for its optimal maximum likelihood (ML) performance with lesser complexity. In this paper, we analyze a multiple-input multiple-output (MIMO) detection scheme that combines; column norm based ordering minimum mean square error (MMSE) and BSIDE detection methods. The investigation is carried out with a breadth first tree traversal technique, where the computational complexity encountered at the lower layers of the tree is high. This can be eliminated by carrying detection in the lower half of the tree structure using MMSE and upper half using BSIDE, after rearranging the column of the channel using norm calculation. The simulation results show that this approach achieves 22% of complexity reduction for 2x2 and 50% for 4x4 MIMO systems without any degradation in the performance.

Słowa kluczowe

EN

MIMO; MMSE; SD; ML; BSIDE; breadth first search

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2017
• Tom: Vol. 63, No. 3
• Strony: 305--308
• Opis fizyczny: Bibliogr. 14 poz., tab., wykr.

Twórcy

autor

Jothikumar R.

• Department of Electronics and Communication Engineering, Sri Manakula Vinayagar Engineering College, India

autor

Rangaswamy N.

• Department of Electronics Engineering, School of Engineering and Technology, Pondicherry University, India

Bibliografia

• [1] P.W. Wolniansky, G.J. Foschini, G.D. Golden, and R.A. Valenzuela, “V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel,” Proc. URSI Int. Symp. Signals, Systems and Electronics, Pisa, Italy, pp. 295–300, 1998.
• [2] C.-A, Shen, A. M. Eltawil, K. N. Salama, S. Mondal, "A Best-First Soft/Hard Decision Tree Searching MIMO Decoder for a 4x 4 64-QAM System", IEEE Transactions on Very Large Scale Integration (VLSI) systems, vol. 20, no. 8 , pp. 1537-1541, 2012.
• [3] C. Qian, J. Wu, Y. R. Zheng, Z. Wang, ”Two-Stage list sphere decoding for Under-Determined Multi-Input Multi-Output systems,” IEEE Transactions on Wireless Communications, vol.12, no.12, pp.6476-6487, 2013.
• [4] Y. Zhang,”Effective reduction for Sphere Decoder in linear multi-input multi-output channel systems”, IET Communications, vol. 6, no. 11, pp. 1573-1578, 2012.
• [5] L. Azzam, E. Ayanoglu, “Reduced complexity sphere decoding via a reordered lattice representation,” IEEE Transactions on Communications, vol. 57, no. 9, pp. 2564–2569, September 2009.
• [6] M. Mansour, S.P. Alex, L.M.A. Jalloul, “Reduced complexity soft output MIMO sphere detectors-part I: Algorithmic optimizations”, IEEE Transactions on Signal Processing, vol. 62, no. 21, pp. 5505–5520, 2014.
• [7] M. Wu, B. Yin, G. Wang, C. Dick, “Large scale MIMO detection for 3GPP LTE: Algorithms and FPGA implementations”, IEEE Selected Topics in Signal Processing, vol. 8, no. 5, pp. 916–929, 2014.
• [8] J. Janhunen, O. Silvén, M. Juntti, “Programmable processor implementations of K-best list sphere detector for MIMO receiver,” Elsevier Journal of Signal Processing, vol. 90, pp. 313-323, 2009.
• [9] S. Roger, A. Gonzalez, V. Almenar, A. M. Vidal, ”Practical aspects of preprocessing techniques for K-Best tree search MIMO detectors”, Elsevier Journal of Computers and Electrical Engineering, vol. 37, pp. 451-460, May 2011.
• [10] G. Wang, H. Leib, “Sphere decoding for MIMO systems with newton iterative matrix inversion”, IEEE Communications Letters, vol. 17, no. 2, pp. 389–392, 2013.
• [11] R. H. Chen, W.-H. Chung, ”Reduced complexity MIMO detection scheme using statistical search space reduction”, IEEE Communications Letters, vol. 16, no.3, pp.292-295, 2012.
• [12] R. Y. Chang, W.-H. Chung, ”Low complexity MIMO detection based on post Equalization subspace search”, IEEE Transactions on Vehicular Technology, vol. 61, no. 1, pp.375-380, January 2012.
• [13] C.-Y. Hung, R. Y. Chang, W.-H. Chung, “A hybrid MMSE and K-Best detection scheme for MIMO systems”, IEEE Vehicular Technology Conference (VTC), pp. 1-5, September 2012.
• [14] H.G. Kang, I. Song, J. Oh, J. Lee, S. Yoon, “Breadth-first signal decoder: A Novel maximum likelihood scheme for multi input multi output systems,” IEEE Transactions on Vehicular Technology, vol. 57, pp.1576-1583, 2008.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).