Energy-Efficient Secure NOMA-Enabled Mobile Edge Computing Networks

Wei, Wu; Zhou, Fuhui; Li, Pei; Deng, Ping; Wang, Baoyun; Leung, Victor C. M.

doi:10.1109/icc.2019.8761823

Cited by 20 publications

(26 citation statements)

References 14 publications

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“…T HE rapid development of next-generation wireless networks has spawned the unprecedented proliferation of smart devices (e.g., tablet computers, smart phones, smart furniture and wearable devices) and new applications (e.g., augmented reality, autonomous driving, and tele-surgery) [1], [2]. With the massive deployment of smart devices, how to accommodate them with limit resources is a challenging task [3].…”

Section: Introductionmentioning

confidence: 99%

“…In order to tackle the above-mentioned challenges, mobile edge computing (MEC) and non-orthogonal multiple access This paper was presented in part at the IEEE International Conference on Communications (ICC), Shanghai, China, May 2019 [1].…”

Section: Introductionmentioning

confidence: 99%

“…Since the passive eavesdropper's instantaneous CSI cannot be known by the AP in practice, we take the secrecy outage probability as the secrecy metric to measure the secrecy offloading performance of the NOMA-based MEC network. Please note that in [1], we only studied the weighted sum-energy consumption minimization problem under the secrecy offloading rate constraint of each user. Moreover, we did not study the secrecy outage probability minimization problems with given latency and energy budget [1].…”

Section: Introductionmentioning

confidence: 99%

“…Please note that in [1], we only studied the weighted sum-energy consumption minimization problem under the secrecy offloading rate constraint of each user. Moreover, we did not study the secrecy outage probability minimization problems with given latency and energy budget [1]. The potential applications of our considered secure NOMA enabled MEC system can be the MEC-aware NOMA narrowband Internet of Things (IoT) networks with densely deployed access points and mobile terminals [6].…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks

Wei

Zhou

et al. 2020

IEEE Trans. Commun.

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188

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Mobile edge computing (MEC) has been envisaged as a promising technique in the next-generation wireless networks. In order to improve the security of computation tasks offloading and enhance user connectivity, physical layer security and non-orthogonal multiple access (NOMA) are studied in MEC-aware networks. The secrecy outage probability is adopted to measure the secrecy performance of computation offloading by considering a practically passive eavesdropping scenario. The weighted sum-energy consumption minimization problem is firstly investigated subject to the secrecy offloading rate constraints, the computation latency constraints and the secrecy outage probability constraints. The semi-closed form expression for the optimal solution is derived. We then investigate the secrecy outage probability minimization problem by taking the priority of two users into account, and characterize the optimal secrecy offloading rates and power allocations with closed-form expressions. Numerical results demonstrate that the performance of our proposed design are better than those of the alternative benchmark schemes.Index Terms-Mobile edge computing, non-orthogonal multiple access, physical layer security, secrecy outage probability, partial offloading.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks

Wei

Zhou

et al. 2020

IEEE Trans. Commun.

Self Cite

188

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“…Recently, wireless powered mobile-edge computing (MEC) has emerged as a promising technique to solve the above problems [1]- [4]. In a wireless powered MEC system, WDs are powered by means of wireless power transfer (WPT) [5] and can offload intensive computations to the edge servers located at the radio access networks [6], [7]. Such an integration of MEC and WPT technologies effectively solves the limitations of both on-chip energy and computing capability of IoT devices.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Computation Offloading in Wireless Powered Mobile-Edge Computing Systems

Xing

et al. 2019

2019 IEEE Globecom Workshops (GC Wkshps)

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This paper studies a novel user cooperation model in a wireless powered mobile edge computing system where two wireless users harvest wireless power transferred by one energy node and can offload part of their computation tasks to an edge server (ES) for remote execution. In particular, we consider that the direct communication link between one user to the ES is blocked, such that the other user acts as a relay to forward its offloading data to the server. Meanwhile, instead of forwarding all the received task data, we also allow the helping user to compute part of the received task locally to reduce the potentially high energy and time cost on task offloading to the ES. Our aim is to maximize the amount of data that can be processed within a given time frame of the two users by jointly optimizing the amount of task data computed at each device (users and ES), the system time allocation, the transmit power and CPU frequency of the users. We propose an efficient method to find the optimal solution and show that the proposed user cooperation can effectively enhance the computation performance of the system compared to other representative benchmark methods under different scenarios.

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Resource allocation for offloading-efficiency maximization in clustered NOMA-enabled mobile edge computing networks

Baidas

2021

Computer Networks

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Energy-Efficient Secure NOMA-Enabled Mobile Edge Computing Networks

Cited by 20 publications

References 14 publications

Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks

Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks

Collaborative Computation Offloading in Wireless Powered Mobile-Edge Computing Systems

Resource allocation for offloading-efficiency maximization in clustered NOMA-enabled mobile edge computing networks

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