Secure Multiuser MIMO Downlink Transmission Via Precoding-Aided Spatial Modulation

Chen, Yingyang; Wang, Li; Zhao, Zijun; Ma, Meng; Jiao, Bingli

doi:10.1109/lcomm.2016.2549014

Cited by 67 publications

(29 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a similar derivation process please refer to the Appendix A of [34]. Then, upon replacing R s by (19) and (20), the ASR with a given AAG becomes…”

Section: B Proposed Joint Sa-max-asr Optimization Of Aag and Ancmmentioning

confidence: 99%

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Xia

Lin

Liu

et al. 2020

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

The security of spatial modulation (SM) aided networks can always be improved by reducing the desired link's power at the cost of degrading its bit error ratio performance and assuming the power consumed to artificial noise (AN) projection (ANP). We formulate the joint optimization problem of maximizing the secrecy rate (Max-SR) over the transmit antenna selection and ANP in the context of secure SM-aided networks, which is mathematically a non-linear mixed integer programming problem. In order to solve this problem, we provide a pair of solutions, namely joint and separate solutions. Specifically, an accurate approximation of the SR is used for reducing the computational complexity, and the optimal AN covariance matrix (ANCM) is found by convex optimization for any given active antenna group (AAG). Then, given a large set of AAGs, simulated annealing mechanism is invoked for optimizing the choice of AAG, where the corresponding ANCM is recomputed by this optimization method as well when the AAG changes. To further reduce the complexity of the above-mentioned joint optimization, a low-complexity two-stage separate optimization method is also proposed. Furthermore, when the number of transmit antennas tends to infinity, the Max-SR problem becomes equivalent to that of maximizing the ratio of the desired user's signal-tointerference-plus-noise ratio to the eavesdropper's. Thus our original problem reduces to a fractional programming problem, hence a significant computational complexity reduction can be achieved for the optimization problem. Our simulation results show that the proposed algorithms outperform the existing leakage-based null-space projection scheme in terms of the SR performance attained, and drastically reduces the complexity at a slight SR performance reduction.

show abstract

“…For a similar derivation process please refer to the Appendix A of [34]. Then, upon replacing R s by (19) and (20), the ASR with a given AAG becomes…”

Section: B Proposed Joint Sa-max-asr Optimization Of Aag and Ancmmentioning

confidence: 99%

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Xia

Lin

Liu

et al. 2020

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…Results in [14] show that some broadcast transmission bits can be added to the conventional MU-MIMO-SMux scheme transmission without performance impairments at the cost of a slightly increased detection complexity. In [15] and [16], the concept of SM at the receiver side was effectively implemented in MU-MIMO systems. The potential applications of the SM/QSM-based schemes for MU-MIMO systems include the design of future networks that demand energy and spectral efficiencies, for example, Internet of Thing (IoT) applications with rate and energy efficiency improvements [17] or beyond 5G systems where the spatial dimension could be used as a second layer to transfer additional information [18] [19].…”

Section: Introductionmentioning

confidence: 99%

EQSM-based multiuser MIMO downlink transmission for correlated fading channels

Castillo-Soria

Gutiérrez

García-Barrientos

et al. 2020

J Wireless Com Network

View full text Add to dashboard Cite

This paper presents three multiuser multiple input-multiple output (MU-MIMO) downlink transmission strategies based on the extended quadrature spatial modulation (EQSM) system for mobile communication. The three MU-MIMO precoding strategies utilised are block diagonalisation (BD), dirty paper coding (DPC), and a combined BD-DPC strategy. We analyse and compare the performance of these three MU-MIMO-EQSM schemes with the conventional MU-MIMO spatial multiplexing (MU-MIMO-SMux) system in terms of bit error rate (BER) and detection complexity considering correlated and uncorrelated fading channels. Results show that the BD-MIMO-EQSM and DPC-MIMO-EQSM systems outperform by 2 − 3 dB in BER performance their conventional counterparts with the additional advantage of a detection complexity reduction of up to 62% for the analysed cases. For the uncorrelated fading channel, the BD technique has better BER performance for a spectral efficiency (SE) of 12 bits per channel use (bpcu), while the DPC technique has better BER performance for an SE of 8 bpcu. Considering the correlated channel, DPC suffers a deep BER degradation of up to 30 dB compared with BD. However, still in this scenario, both proposed MU-MIMO-EQSM systems outperform their conventional counterparts. In terms of detection complexity, DPC has a complexity reduction of 77% as compared with the BD technique. The BD-DPC-MIMO-EQSM hybrid system heritages the low detection complexity of DPC with the advantage of all users in the system having the same BER performance.

show abstract

“…In [16], the precoder was optimized by maximizing the power received at Bob whilst minimizing the signal power received at Eve, under the assumption that the perfect channel state information (CSI) was available at the transmitter (Alice). To combat with a passive Eve, a time-varying interference based scheme was proposed in [17], where the interference signals were also projected into the null-space of the legitimate channel. Furthermore, a scrambling matrix was designed for a multiuser PSM network in [18] to impose a fast varying effect on the signal precoding matrices at Eve, which aimed for degrading Eve's blind detection.…”

Section: Introductionmentioning

confidence: 99%

An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve

Xia

Lin

Shu

et al. 2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

In this paper, an anti-eavesdropping strategy is proposed for secure precoding-aided spatial modulation networks, under the assumption that the rough channel state information of eavesdropper can be obtained at the transmitter. Traditionally, artificial noise (AN) can be always projected into the null-space of the legitimate channel, however it may lead to some security loss since this strategy dispenses with a holistic consideration for secure transmission. To reduce the computational complexity of our optimization problem, we derive a closed-form expression that is a lower bound of the approximate rate over the illegitimate channel. Then a concave maximization problem is formulated for optimizing the covariance matrix of AN. Simulation results show that our proposed scheme achieves almost the same secrecy rate (SR) performance as the method of directly maximizing the approximate SR, and harvests significant SR gains compared with the traditional null-space projection benchmark.

show abstract

Secure Multiuser MIMO Downlink Transmission Via Precoding-Aided Spatial Modulation

Cited by 67 publications

References 18 publications

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

Transmit Antenna Selection and Beamformer Design for Secure Spatial Modulation With Rough CSI of Eve

EQSM-based multiuser MIMO downlink transmission for correlated fading channels

An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve

Contact Info

Product

Resources

About