Physical Layer Security of Cooperative NOMA for IoT Networks Under I/Q Imbalance

Li, Xingwang; Zhao, Mengle; Gao, Xiangchuan; Li, Lihua; Do, Dinh‐Thuan; Rabie, Khaled M.; Kharel, Rupak

doi:10.1109/access.2020.2980171

Cited by 44 publications

(31 citation statements)

References 37 publications

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“…During offpeak time, contents are distributed to the small base station and satisfied the requests via edge network at peak time. In our further work, we will study how to insure physical-layer security [45][46][47] or use SE (searchable encryption) [48], [49] for the considered system. In addition, the application of the considered caching strategy in this paper into the IIoT [50], [51] should be studied in the future.…”

Section: Discussionmentioning

confidence: 99%

A Distributed Caching Scheme Using Non-Cooperative Game for Mobile Edge Networks

Wang

2020

IEEE Access

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Mobile edge storage is an emerging computing paradigm which enables users to enjoy high quality of experience when they access cloud services. However, extremely fast increasing multimedia data traffic from cloud to mobile users comes with the challenges of low-latency and high-bandwidth over cloud computing model. How to design cache strategies by exploiting terminal nodes' utility is still a challenging issue. In this paper, by exploiting 5G technology and cooperative edge computing, we propose a cooperative edge caching framework to tackle three issues simultaneously in the application scenarios of massive short video services: (1) reducing data transportation latency to improve mobile uses' quality of experience; (2) mitigating data traffic pressure on backbone network; (3) decreasing the workload on cloud servers. Firstly, we define a cooperative edge caching network model, in which many edge nodes equipped with capacities of storage, user admittance and Internet access form an ad hoc network and each node serves multiple mobile users. Secondly, we design a non-cooperative game model to investigate the cooperation behavior among the edge nodes, we allow each edge node server as a player and make decision of cache (storage) initialization and replacement strategies. Thirdly, we find there is a Nash Equilibrium in the proposed game. Finally, we design a distributed algorithm to achieve the equilibrium according to our theoretical analysis. Experiment results show that the proposed game-based edge caching strategy can improve mobile uses' quality of experience by 20% latency decreasing and reduce 80% backbone traffic and cloud workload. INDEX TERMS Non-cooperative game theory, Nash equilibrium, distributed cache placement, cache hit rate, average edge utility

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Section: Discussionmentioning

confidence: 99%

A Distributed Caching Scheme Using Non-Cooperative Game for Mobile Edge Networks

Wang

2020

IEEE Access

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“…In [20], a relay selection strategy was proposed for multi-hop wireless communication systems having multiple eavesdroppers along with numerous source destination pairs. Considering a relay aided dual-hop communication network, the authors in [21] showed that the intercept probability can be reduced significantly by introducing inphase and quadrature-phase imbalance at the transmitter and receiver nodes. In the above literature [15]- [21], the problem of power allocation has not been addressed.…”

Section: A Related Workmentioning

confidence: 99%

Resource Optimization Framework for Physical Layer Security of Dual-Hop Multi-Carrier Decode and Forward Relay Networks

Nawaz¹,

Khan

Ali

et al. 2021

IEEE Open J. Antennas Propag.

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Physical layer security (PLS) is an emerging area for information security against eavesdroppers (Eve). Information security of any system can also be improved by using friendly jammers that produce interference signals to Eve. Traditional security techniques are limited by the processing power of the wireless nodes, whereas PLS can achieve communication secrecy without requiring computationally expensive cryptographic operations. The relay networks have emerged as a promising technology to enhance the performance of the wireless systems. This paper proposes a joint resource optimization framework for the PLS of dual-hop decode and forward (DF) relay network with and without cooperative jamming. In particular, the proposed framework consists of a base station (BS), multiple users, DF relays, multiple subcarriers, and an Eve. Our objective is to maximize the sum secrecy rate (SR) through optimal power loading over different subcarriers at BS and relay nodes, and efficient subcarrier assignment. We formulate a mixed binary integer programing problem for secrecy optimization and adopt Lagrangian dual method to achieve the efficient solutions. We also provide three benchmark frameworks, i.e., joint power optimization with random subcarrier assignment, equal power allocation with efficient subcarrier assignment and equal power with random subcarrier assignment to guage the performance of our joint resource optimization framework. Simulation results unveil that the proposed joint resource optimization framework under cooperative jamming and without jamming performs significantly better than the benchmark frameworks.

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“…[17][18][19][20] In the context of cooperative NOMA, physical layer security has attracted increasing research interests. [21][22][23][24][25][26] In the work of Vo et al, 21 the authors considered imperfect channel state information (CSI) and analyzed the secrecy and throughput of a cooperative NOMA energy harvesting IoT system in the presence of untrust relays. Aimming to against eavesdropping and meanwhile guarantee the quality of service (QoS) of IoTs, a beamforming design was developed by Deng et al 22 for a two-way cognitive radio IoT network.…”

Section: Introductionmentioning

confidence: 99%

Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

Chen

Zhang

2021

Trans Emerging Tel Tech

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In this article, we investigate physical layer security in downlink Internet of Things networks under imperfect channel state information (CSI), in which a controller (Alice) intends to serve two user devices (D 1 and D 2) simultaneously by using nonorthogonal multiple access (NOMA). Cooperative jamming (CJ) is introduced as a powerful solution for guaranteeing secure transmission. To be specific, we integrate an unmanned aerial vehicle (UAV) jammer that generates artificial noise to confuse multiple noncolluding eavesdroppers (Eves). Considering only D 1 requires secure transmission, we develop an adaptive power allocation scheme to maximize the secrecy rate at D 1 while meeting the desired quality of service (QoS) threshold at D 2. Furthermore, a strategy can be utilized to obtain the optimal location of the UAV jammer is derived for further performance enhancement. Besides, we also examine the impact of the channel uncertainties on system performance. Numerical results are provided to confirm the superiority and applicability of the proposed CJ scheme over benchmark schemes in terms of secrecy performance and effective energy efficiency.

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Physical Layer Security of Cooperative NOMA for IoT Networks Under I/Q Imbalance

Cited by 44 publications

References 37 publications

A Distributed Caching Scheme Using Non-Cooperative Game for Mobile Edge Networks

A Distributed Caching Scheme Using Non-Cooperative Game for Mobile Edge Networks

Resource Optimization Framework for Physical Layer Security of Dual-Hop Multi-Carrier Decode and Forward Relay Networks

Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

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