Secrecy Enhancement Analysis Against Unknown Eavesdropping in Spatial Modulation

Wang, Li; Bashar, Shafi; Wei, Yaman; Li, Ruoguang

doi:10.1109/lcomm.2015.2440353

Cited by 106 publications

(78 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…How to enable SM to transmit confidential messages securely is an attractive and significantly important problem [5]- [7]. In [8], the authors analyzed the secrecy rate (SR) of SM for multiple-antenna destination and eavesdropper receivers. Instead of typical requirements for eavesdropper channel information, they investigated the security performance through joint signal and interference transmissions.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Power Allocation Strategies for Secure Spatial Modulation

Shu

Liu

Xia

et al. 2019

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Optimal power allocation (PA) strategies can make a significant rate improvement in secure spatial modulation (SM). Due to the lack of secrecy rate (SR) closed-form expression in secure SM networks, it is hard to optimize the PA factor. In this paper, two PA strategies are proposed: gradient descent, and maximum product of signal-to-interference-plusnoise ratio (SINR) and artificial-noise-to-signal-plus-noise ratio (ANSNR)(Max-P-SINR-ANSNR). The former is an iterative method and the latter is a closed-form solution. Compared to the former, the latter is of low-complexity. Simulation results show that the proposed two PA methods can approximately achieve the same SR performance as exhaustive search method and perform far better than three fixed PA ones. With extremely low complexity, the SR performance of the proposed Max-P-SINR-ANSNR performs slightly better and worse than that of the proposed GD in the low to medium, and high signal-to-noise ratio regions, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

High-Performance Power Allocation Strategies for Secure Spatial Modulation

Shu

Liu

Xia

et al. 2019

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…How to make SM have a capability to achieve a secure transmission become an important issue for SM networks. In [8], without the knowledge of Eve's location, the confidential messages are securely transmitted from the SM transmitter to the desired receiver by projecting artificial noise (AN) onto the null-space of the desired channel. In [9], the authors proposed a full-duplex desired receiver, where the confidential messages is received and meanwhile AN is emitted to corrupt the illegal receiver (Eve).…”

Section: Introductionmentioning

confidence: 99%

Power Allocation Strategies for Secure Spatial Modulation

Xia

Jia

Qian

et al. 2019

IEEE Systems Journal

View full text Add to dashboard Cite

In secure spatial modulation (SM) networks, power allocation (PA) strategies are investigated in this paper under the total power constraint. Considering that there is no closed-form expression for secrecy rate (SR), an approximate closed-form expression of SR is presented, which is used as an efficient metric to optimize PA factor and can greatly reduce the computation complexity. Based on this expression, a convex optimization (CO) method of maximizing SR (Max-SR) is proposed accordingly. Furthermore, a method of maximizing the product of signal-toleakage and noise ratio (SLNR) and artificial noise-to-leakageand noise ratio (ANLNR) (Max-P-SAN) is proposed to provide an analytic solution to PA with extremely low-complexity. Simulation results demonstrate that the SR performance of the proposed CO method is close to that of the optimal PA strategy of Max-SR with exhaustive search and better than that of Max-P-SAN in the high signal-to-noise ratio (SNR) region. However, in the low and medium SNR regions, the SR performance of the proposed Max-P-SAN slightly exceeds that of the proposed CO.

show abstract

“…The user access is based on NOMA, combined with SM. Although there is literature proposing multi-user SM schemes [26], [27], we use a classical SM designed for point-to-point transmission [6], [28] in vehicular environments. In what follows, we first elaborate on the principles of the proposed NOMA-SM scheme.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Chen

Wang

et al. 2017

IEEE J. Select. Areas Commun.

Self Cite

154

104

View full text Add to dashboard Cite

Abstract-At the time of writing, vehicle-to-vehicle (V2V) communication is enjoying substantial research attention as a benefit of its compelling applications. However, the ever-increasing teletraffic is expected to result in overcrowding of the available band. As a first resort, multiple-input multiple-output (MIMO) can be utilized to enhance the attainable bandwidth efficiency or link reliability. However, in hostile V2V wireless propagation environments the achievable multiple-antenna gain is eroded by the channel correlation. As a promising MIMO technique, spatial modulation (SM) only activates a single transmit antenna (TA) in any symbol-interval and hence completely avoids the inter-antenna interference (IAI), hence showing robustness against channel correlation. As a further powerful solution, non-orthogonal multiple access (NOMA) has been proposed for improving the bandwidth efficiency. Inspired by the robustness of SM against channel correlation and the benefits of NOMA, we intrinsically amalgamate them into NOMA-SM in order to deal with the deleterious effects of wireless V2V environments as well as to support improved bandwidth efficiency. Moreover, the bandwidth efficiency of NOMA-SM is further boosted with the aid of a massive TA configuration. Specifically, a spatiotemporally correlated Rician channel is considered for a V2V scenario. We investigate the bit error ratio (BER) performance of NOMA-SM via Monte Carlo simulations, where the impact of the Rician K-factor, spatial correlation of the antenna array, time-varying effect of the V2V channel, and the power allocation factor is discussed. Furthermore, we also analyse the capacity of NOMA-SM. By analysing the capacity and deriving closedform upper bounds on the capacity, a pair of power allocation optimization schemes are formulated. The optimal solutions are demonstrated to be achievable with the aid of our proposed algorithm. Again, instead of simply invoking a pair of popular techniques, we intrinsically amalgamate SM and NOMA to conceive a new system component exhibiting distinct benefits in the V2V scenarios considered.Index Terms-Spatial modulation (SM), non-orthogonal multiple access (NOMA), massive multiple-input multiple-output (MIMO), vehicle-to-vehicle (V2V), channel capacity, bit error ratio (BER).

show abstract

Secrecy Enhancement Analysis Against Unknown Eavesdropping in Spatial Modulation

Cited by 106 publications

References 17 publications

High-Performance Power Allocation Strategies for Secure Spatial Modulation

High-Performance Power Allocation Strategies for Secure Spatial Modulation

Power Allocation Strategies for Secure Spatial Modulation

Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Contact Info

Product

Resources

About