On the Interference Alignment Designs for Secure Multiuser MIMO Systems

Kha HOANG HA; Thanh TUNG VU; Trung QUANG DUONG; Nguyen-Son VO

doi:10.1587/transfun.E100.A.670

On the Interference Alignment Designs for Secure Multiuser MIMO Systems

Kha HOANG HA, Thanh TUNG VU, Trung QUANG DUONG, Nguyen-Son VO

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In this paper, we propose two secure multiuser multiple-input multiple-output (MIMO) transmission approaches based on interference alignment (IA) in the presence of an eavesdropper. To deal with the information leakage to the eavesdropper as well as the interference signals from undesired transmitters (Txs) at desired receivers (Rxs), our approaches aim to design the transmit precoding and receive subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals (WSs). The first proposed IA scheme focuses on aligning the WSs into proper subspaces while the second one imposes a new structure on the precoding matrices to force the WSs to zero. In each proposed IA scheme, the precoding matrices and the receive subspaces at the legitimate users are alternatively selected to minimize the cost function of a convex optimization problem for every iteration. We provide the feasible conditions and the proofs of convergence for both IA approaches. The simulation results indicate that our two IA approaches outperform the conventional IA algorithm in terms of the average secrecy sum rate.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.2 pp.670-679

Publication Date: 2017/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.670

Type of Manuscript: PAPER

Category: Communication Theory and Signals

Authors

Kha HOANG HA
  Ho Chi Minh City University of Technology
Thanh TUNG VU
  Ho Chi Minh City University of Technology,Duy Tan University
Trung QUANG DUONG
  Queen's University Belfast
Nguyen-Son VO
  Duy Tan University

Keyword

wiretap channels, secure communications, interference alignment, MIMO multiuser, transceiver designs

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Kha HOANG HA, Thanh TUNG VU, Trung QUANG DUONG, Nguyen-Son VO, "On the Interference Alignment Designs for Secure Multiuser MIMO Systems" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 2, pp. 670-679, February 2017, doi: 10.1587/transfun.E100.A.670.
Abstract: In this paper, we propose two secure multiuser multiple-input multiple-output (MIMO) transmission approaches based on interference alignment (IA) in the presence of an eavesdropper. To deal with the information leakage to the eavesdropper as well as the interference signals from undesired transmitters (Txs) at desired receivers (Rxs), our approaches aim to design the transmit precoding and receive subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals (WSs). The first proposed IA scheme focuses on aligning the WSs into proper subspaces while the second one imposes a new structure on the precoding matrices to force the WSs to zero. In each proposed IA scheme, the precoding matrices and the receive subspaces at the legitimate users are alternatively selected to minimize the cost function of a convex optimization problem for every iteration. We provide the feasible conditions and the proofs of convergence for both IA approaches. The simulation results indicate that our two IA approaches outperform the conventional IA algorithm in terms of the average secrecy sum rate.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.670/_p

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@ARTICLE{e100-a_2_670,
author={Kha HOANG HA, Thanh TUNG VU, Trung QUANG DUONG, Nguyen-Son VO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={On the Interference Alignment Designs for Secure Multiuser MIMO Systems},
year={2017},
volume={E100-A},
number={2},
pages={670-679},
abstract={In this paper, we propose two secure multiuser multiple-input multiple-output (MIMO) transmission approaches based on interference alignment (IA) in the presence of an eavesdropper. To deal with the information leakage to the eavesdropper as well as the interference signals from undesired transmitters (Txs) at desired receivers (Rxs), our approaches aim to design the transmit precoding and receive subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals (WSs). The first proposed IA scheme focuses on aligning the WSs into proper subspaces while the second one imposes a new structure on the precoding matrices to force the WSs to zero. In each proposed IA scheme, the precoding matrices and the receive subspaces at the legitimate users are alternatively selected to minimize the cost function of a convex optimization problem for every iteration. We provide the feasible conditions and the proofs of convergence for both IA approaches. The simulation results indicate that our two IA approaches outperform the conventional IA algorithm in terms of the average secrecy sum rate.},
keywords={},
doi={10.1587/transfun.E100.A.670},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - On the Interference Alignment Designs for Secure Multiuser MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 670
EP - 679
AU - Kha HOANG HA
AU - Thanh TUNG VU
AU - Trung QUANG DUONG
AU - Nguyen-Son VO
PY - 2017
DO - 10.1587/transfun.E100.A.670
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2017
AB - In this paper, we propose two secure multiuser multiple-input multiple-output (MIMO) transmission approaches based on interference alignment (IA) in the presence of an eavesdropper. To deal with the information leakage to the eavesdropper as well as the interference signals from undesired transmitters (Txs) at desired receivers (Rxs), our approaches aim to design the transmit precoding and receive subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals (WSs). The first proposed IA scheme focuses on aligning the WSs into proper subspaces while the second one imposes a new structure on the precoding matrices to force the WSs to zero. In each proposed IA scheme, the precoding matrices and the receive subspaces at the legitimate users are alternatively selected to minimize the cost function of a convex optimization problem for every iteration. We provide the feasible conditions and the proofs of convergence for both IA approaches. The simulation results indicate that our two IA approaches outperform the conventional IA algorithm in terms of the average secrecy sum rate.
ER -