Secrecy energy efficiency optimization for AN-aided SWIPT system with power splitting receiver

Wang, Gang; Lin, Yan; Meng, Chao; Wei, Heng; Chen, Xiaoshu

doi:10.1007/s11432-017-9399-6

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…For each random channel, the predefined convergence performance can be obtained with no more than 10 times. T 2 is the number of times to search ρ, which is related with M , here we let M = 10 [37]. Therefore, the upper bound of the computational complexity for the second level algorithm is O(T 1 T 2 ) = 100.…”

Section: Numerical Resultsmentioning

confidence: 99%

Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI

Meng

Wang

2019

IEEE Access

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In this paper, the secure energy-efficient transmission problem for an artificial-noise (AN)aided simultaneous wireless information and power transfer (SWIPT) and vehicle-to-infrastructure (V2I) communication system with the imperfect channel state information (CSI) is studied. The secure energy efficiency problem is formulated with the imperfect CSI, where the constraints contain the minimum secrecy rate request of the legitimate vehicle (LV), the minimum energy harvesting (EH) request, the maximum transmit power, and the power splitting (PS) value. By exploiting the maximum ratio transmission (MRT) scheme and the norm-bounded matrix theory, we convert the original intractable problem to a fractional optimization one with three variables. Then, a two-level optimization algorithm is presented for the nonconvex fractional optimization problem. By introducing an auxiliary slack variable, the first level problem can be solved via one-dimensional optimization algorithm. The second level fractional optimization problem was furhther converted into an integer optimization one by the Dinkelbach method, and the closed-form solutions of the transmit power and the AN power are provided. Simulation results are given to verify the performance of our presented algorithm.INDEX TERMS Energy-efficient, artificial noise, simultaneous wireless information and power transfer, vehicle-to-infrastructure, imperfect CSI, energy harvesting.

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Section: Numerical Resultsmentioning

confidence: 99%

Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI

Meng

Wang

2019

IEEE Access

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“…The comparison of cryptography and PHY-security techniques is given in Table 2. From an information-theoretical viewpoint, the essence of PHY-security is to increase the capacity of the legitimate channel and to decrease the capacity of the eavesdropping channel simultaneously, and hence maximizes the secrecy rate [20][21][22]. Inspired by that, many effective physical layer security techniques have been proposed [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Physical layer security for massive access in cellular Internet of Things

Chen

Zhong

et al. 2020

Sci. China Inf. Sci.

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The upcoming fifth generation (5G) cellular network is required to provide seamless access for a massive number of Internet of Things (IoT) devices over the limited radio spectrum. In the context of massive spectrum sharing among heterogeneous IoT devices, wireless security becomes a critical issue owing to the broadcast nature of wireless channels. According to the characteristics of the cellular IoT network, physical layer security (PHY-security) is a feasible and effective way of realizing secure massive access. This article reviews the security issues in the cellular IoT network with an emphasis on revealing the corresponding challenges and opportunities for the design of secure massive access. Furthermore, we provide a survey on PHY-security techniques to improve the secrecy performance. Especially, we propose a secure massive access framework for the cellular IoT network by exploiting the inherent co-channel interferences. Finally, we discuss several potential research directions to further enhance the security of massive IoT.

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“…As mMTC scenarios generally have strict requirements of low latency, it is more valuable to analyze the instantaneous performance within a single grant-free time frame than to analyze the steady-state performance with consideration of backoff and retransmission procedures. Moreover, we optimize the energy efficiency (EE) and the access point coverage efficieny (APCE) of the GF-NOMA network via numerical method, which will be presented with the numerical results in Section V. The energy consumption is especially important for the system design of IoT because the user devices are required to sustain long battery life for the purpose of lower maintenance cost [26]. The APCE concerns the ability of an AP to support massive connectivity.…”

Section: Introductionmentioning

confidence: 99%

Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry

Liu

Zhang

et al. 2020

Preprint

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Massive machine-type communications (mMTC) is a crucial scenario to support booming Internet of Things (IoTs) applications. In mMTC, although a large number of devices are registered to an access point (AP), very few of them are active with uplink short packet transmission at the same time, which requires novel design of protocols and receivers to enable efficient data transmission and accurate multi-user detection (MUD). Aiming at this problem, grant-free non-orthogonal multiple access (GF-NOMA) protocol is proposed. In GF-NOMA, active devices can directly transmit their preambles and data symbols altogether within one time frame, without grant from the AP. Compressive sensing (CS)-based receivers are adopted for non-orthogonal preambles (NOP)-based MUD, and successive interference cancellation is exploited to decode the superimposed data signals. In this paper, we model, analyze, and optimize the CS-based GF-MONA mMTC system via stochastic geometry (SG), from an aspect of network deployment. Based on the SG network model, we first analyze the success probability as well as the channel estimation error of the CS-based MUD in the preamble phase and then analyze the average aggregate data rate in the data phase. As IoT applications highly demands low energy consumption, low infrastructure cost, and flexible deployment, we optimize the energy efficiency and AP coverage efficiency of GF-NOMA via numerical methods. The validity of our analysis is verified via Monte Carlo simulations. Simulation results also show that CS-based GF-NOMA with NOP yields better MUD and data rate performances than contention-based GF-NOMA with orthogonal preambles and CS-based grant-free orthogonal multiple access.

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Secrecy energy efficiency optimization for AN-aided SWIPT system with power splitting receiver

Cited by 5 publications

References 7 publications

Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI

Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI

Physical layer security for massive access in cellular Internet of Things

Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry

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