A Linear Combining Scheme to Suppress Interference in Multiple Relay Systems

Ahmet Ihsan CANBOLAT; Kazuhiko FUKAWA

doi:10.1587/transcom.2016EBP3016

A Linear Combining Scheme to Suppress Interference in Multiple Relay Systems

Ahmet Ihsan CANBOLAT, Kazuhiko FUKAWA

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This paper proposes an interference suppression scheme based on linear combining for multiple relay systems. Interference from base stations and relays in neighboring cells degrades the bit error rate (BER) performance of mobile stations (MSs) near cell boundaries. To suppress such interference for half-duplex relay systems, the proposed scheme linearly combines received signals of the first and second phases at MS. Without channel state information (CSI) feedback, weight coefficients for the linear combining are estimated by the recursive least-squares (RLS) algorithm, which requires only information on preamble symbols of the target MS. Computer simulations of orthogonal frequency-division multiplexing (OFDM) transmission under two-cell and frequency selective fading conditions are conducted. It is demonstrated that the RLS-based linear combining with decision directed estimation is superior to the RLS-based linear combining using only the preamble and can outperform the minimum mean-squared error (MMSE) combining with estimated CSI when the number of preamble symbols is two and four that correspond to the minimum requirements for MMSE and RLS, respectively.

Publication: IEICE TRANSACTIONS on Communications Vol.E99-B No.8 pp.1867-1873

Publication Date: 2016/08/01

Publicized: 2016/02/17

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3016

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Ahmet Ihsan CANBOLAT
Tokyo Institute of Technology
Kazuhiko FUKAWA
Tokyo Institute of Technology

Keyword

wireless communications, multiple relay, linear combining, MMSE, RLS

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Ahmet Ihsan CANBOLAT, Kazuhiko FUKAWA, "A Linear Combining Scheme to Suppress Interference in Multiple Relay Systems" in IEICE TRANSACTIONS on Communications, vol. E99-B, no. 8, pp. 1867-1873, August 2016, doi: 10.1587/transcom.2016EBP3016.
Abstract: This paper proposes an interference suppression scheme based on linear combining for multiple relay systems. Interference from base stations and relays in neighboring cells degrades the bit error rate (BER) performance of mobile stations (MSs) near cell boundaries. To suppress such interference for half-duplex relay systems, the proposed scheme linearly combines received signals of the first and second phases at MS. Without channel state information (CSI) feedback, weight coefficients for the linear combining are estimated by the recursive least-squares (RLS) algorithm, which requires only information on preamble symbols of the target MS. Computer simulations of orthogonal frequency-division multiplexing (OFDM) transmission under two-cell and frequency selective fading conditions are conducted. It is demonstrated that the RLS-based linear combining with decision directed estimation is superior to the RLS-based linear combining using only the preamble and can outperform the minimum mean-squared error (MMSE) combining with estimated CSI when the number of preamble symbols is two and four that correspond to the minimum requirements for MMSE and RLS, respectively.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3016/_p

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@ARTICLE{e99-b_8_1867,
author={Ahmet Ihsan CANBOLAT, Kazuhiko FUKAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Linear Combining Scheme to Suppress Interference in Multiple Relay Systems},
year={2016},
volume={E99-B},
number={8},
pages={1867-1873},
abstract={This paper proposes an interference suppression scheme based on linear combining for multiple relay systems. Interference from base stations and relays in neighboring cells degrades the bit error rate (BER) performance of mobile stations (MSs) near cell boundaries. To suppress such interference for half-duplex relay systems, the proposed scheme linearly combines received signals of the first and second phases at MS. Without channel state information (CSI) feedback, weight coefficients for the linear combining are estimated by the recursive least-squares (RLS) algorithm, which requires only information on preamble symbols of the target MS. Computer simulations of orthogonal frequency-division multiplexing (OFDM) transmission under two-cell and frequency selective fading conditions are conducted. It is demonstrated that the RLS-based linear combining with decision directed estimation is superior to the RLS-based linear combining using only the preamble and can outperform the minimum mean-squared error (MMSE) combining with estimated CSI when the number of preamble symbols is two and four that correspond to the minimum requirements for MMSE and RLS, respectively.},
keywords={},
doi={10.1587/transcom.2016EBP3016},
ISSN={1745-1345},
month={August},}

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TY - JOUR
TI - A Linear Combining Scheme to Suppress Interference in Multiple Relay Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1867
EP - 1873
AU - Ahmet Ihsan CANBOLAT
AU - Kazuhiko FUKAWA
PY - 2016
DO - 10.1587/transcom.2016EBP3016
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2016
AB - This paper proposes an interference suppression scheme based on linear combining for multiple relay systems. Interference from base stations and relays in neighboring cells degrades the bit error rate (BER) performance of mobile stations (MSs) near cell boundaries. To suppress such interference for half-duplex relay systems, the proposed scheme linearly combines received signals of the first and second phases at MS. Without channel state information (CSI) feedback, weight coefficients for the linear combining are estimated by the recursive least-squares (RLS) algorithm, which requires only information on preamble symbols of the target MS. Computer simulations of orthogonal frequency-division multiplexing (OFDM) transmission under two-cell and frequency selective fading conditions are conducted. It is demonstrated that the RLS-based linear combining with decision directed estimation is superior to the RLS-based linear combining using only the preamble and can outperform the minimum mean-squared error (MMSE) combining with estimated CSI when the number of preamble symbols is two and four that correspond to the minimum requirements for MMSE and RLS, respectively.
ER -