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SA and PSO assisted joint scheme of channel estimation and PPIC for MIMO-SDMA/OFDM system

Published: 03 November 2013 Publication History

Abstract

In this paper, a new scheme of Joint Channel Estimation and Partial Parallel Interference Cancellation using Simulating Annealing (SA) or Particle Swarm Optimization (PSO) algorithms is proposed. This scheme is proposed for multiuser Multiple-Input Multiple-Output /Space Division Multiple Access (MIMO-SDMA) Orthogonal Frequency Division Multiplexing (OFDM) systems. The proposed scheme tries to reduce the cancellation error in Conventional Parallel Interference Cancellation (CPIC) detection schemes used in MIMO SDMA-OFDM system. The SA and PSO algorithms are employed in searching the optimal weights of the PPIC for multiple access interference cancellation. The proposed scheme is shown to provide a performance improvement as compared to MMSE and CPIC detectors especially in an overloaded scenario where number of users is high as compared to the Base Station (BS) antennas. In this scenario, channel estimation becomes more challenging, owing to the increased number of independent transmitter-receiver links to be estimated and the constraint imposed by the rank of the MIMO channel matrix. The proposed scheme provides a reasonable solution to the multiuser MIMO channel estimation problem and multiuser detection in the above-mentioned overloaded scenario.

References

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C. Cheng, H. Hsu, Y. Huang, J. Wen and H. Hsu. 2010. Performance of an adaptive PSO partial Parallel Interference Cancellation for CDMA Communication Systems. Wireless Internet Conference (WICON). The 5th Annual ICST. pp.1--7, March 2010.
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I. Zelinka and L. Skanderova. 2012. Simulated Annealing - Single and Multiple Objective Problems. Dr. M. S. Tsuzuki (Ed.).InTech.
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M. Chen and A. Burr. 2012. Low-Complexity Iterative Detection for Overloaded Uplink Multiuser MIMO OFDM System. Smart Antennas (WSA). International ITG Workshop on, pp.338--342, March. 2012.
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M. Choudhry, M. Zubair and I. Qureshi. 2010. MUD for WCDMA using Modified PSO Algorithm. Wireless Comm. and Signal Processing (WCSP). International Conference. pp.1--4, Oct. 2010.
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M. Jiang, J. Akhtman and L. Hanzo. 2007. Iterative Joint Channel Estimation and Multi-User Detection for Multiple-Antenna Aided OFDM Systems. IEEE Transactions on Wireless comm. Vol. 6, No. 8, pp.2904--2913, August 2007.
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M. Jiang and L. Hanzo. 2007. Multiuser MIMO-OFDM for Next-Generation Wireless Systems.IEEE Proceedings. vol.95, no.7, pp. 1430--1469, July 2007.
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P. Hammarberg, F. Rusek and O. Edfors.2012. Iterative receivers with channel estimation for multi-user MIMO-OFDM: complexity and performance.EURASIP Journal on Wireless Communications and Networking, vol. 75, no. 1, pp.1--17, 2012.
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Y. Hsieh and W. Wu. 2008. Performance analysis of an adaptive two-stage PIC CDMA receiver in AWGN channels.Signal Processing Journal. vol. 88, Issue 6, pp.1413--1427, Dec. 2008.

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  1. SA and PSO assisted joint scheme of channel estimation and PPIC for MIMO-SDMA/OFDM system

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    cover image ACM Conferences
    MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
    November 2013
    468 pages
    ISBN:9781450323536
    DOI:10.1145/2507924
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 03 November 2013

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    Author Tags

    1. multiple input multiple output (mimo)
    2. orthogonal frequency division multiplexing (ofdm)
    3. partial parallel interference cancellation (ppic)
    4. particle swarm optimization (pso)
    5. simulating annealing (sa)
    6. space division multiple access (sdma)

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