Transmit-Power Minimization for NOMA-Enabled Traffic Offloading With Security Provisioning

Yu, Changsheng; Yu, Li; Wu, Yuan; He, Yanfei

doi:10.1109/lcomm.2018.2808963

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…In the work of [19], the eavesdropper's interception capability has been overestimated, while, in this paper, we extend this assumption to a more general case that the eavesdroppers are regarded as ordinary users, which owe no decoding ability [24,25]. Hence, the received SINR of x 1 at the m-th Eve can be given by ζ e,m = P a a 1 h ae,m w s…”

Section: System Modelmentioning

confidence: 99%

Cooperative Secure Transmission in MISO-NOMA Networks

Chen¹,

Zhang²,

Li³

2020

Electronics

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In this paper, we investigate cooperative secure transmission in non-orthogonal multiple access (NOMA) networks where a source (Alice) intends to transmit confidential messages to one legitimate user with high-level security requirement (LU1), and serve another normal one (LU2) simultaneously. In order to enhance the transmission security, a cooperative jammer (Charlie) is employed to confuse multiple non-colluding eavesdroppers (Eves). Taking both secrecy outage restriction of LU1 and the desired quality of service (QoS) requirement of LU2 into consideration, we propose an adaptive power allocation strategy for maximizing secrecy rate. Numerical results are provided to validate that our proposed scheme significantly outperforms the conventional NOMA secure transmission scheme.

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Section: System Modelmentioning

confidence: 99%

Cooperative Secure Transmission in MISO-NOMA Networks

Chen¹,

Zhang²,

Li³

2020

Electronics

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“…Works [11][12][13][14][15][16]23,24] investigate the traffic offloading problem in HetNets. In [12], the authors optimise traffic offloading from macro cells to small cells using a Markov approximation and game-theoretic approaches.…”

Section: Related Workmentioning

confidence: 99%

“…The works in [23,24] focus on power control. Compared to [23,24], we jointly optimise user pairing, power control and RU allocation. More importantly, we consider the coupling of resource allocation and inter-cell interference.…”

Section: Contributionsmentioning

confidence: 99%

“…Here we distinguish between our contributions and those of [8,17,18,23,24]. The studies in [8,17,18] aim at resource consumption minimisation subjected to the required throughput of each user, while our work targets the cell-edge throughput maximisation with resource limit.…”

Section: Contributionsmentioning

confidence: 99%

“…Besides, departing from the fixed one-to-one user-cell association in [8,17,18], we consider traffic offloading which allows one-to-many association to be part of the optimisation. The works in [23,24] focus on power control. Compared to [23,24], we jointly optimise user pairing, power control and RU allocation.…”

Section: Contributionsmentioning

confidence: 99%

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Delivering more to cell edge via joint multi‐cell non‐orthogonal multiple access and traffic offloading

Zhao

Yuan

You³

2021

IET Networks

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We consider leveraging the joint potential of non-orthogonal multiple access (NOMA) and traffic offloading to benefit cell-edge users in multi-cell scenarios. We formulate the edge-driven throughput maximisation problem where both the offloading decision and resource allocation are to be optimised, accounting for the impact of the inter-cell interference on the decoding order in NOMA. The inter-cell interference is not given constants as it is influenced by resource allocation. Therefore the non-orthogonal multiple access (NOMA) decoding order is not known a priori. We explore the problem by decomposing it into two subproblems. By analysis of structural properties, we derive algorithm modules which interact iteratively for reciprocity, forming the overall algorithm. Numerical results show that the proposed scheme considerably improves the celledge throughput, compared with the conventional scheme of orthogonal multiple access without traffic offloading.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Multi-agent-Based Load Balancing in Mobile Edge Computing

Sharma,

Diwaker

2024

Mobile Radio Communications and 5G Networks

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Transmit-Power Minimization for NOMA-Enabled Traffic Offloading With Security Provisioning

Cited by 6 publications

References 9 publications

Cooperative Secure Transmission in MISO-NOMA Networks

Cooperative Secure Transmission in MISO-NOMA Networks

Delivering more to cell edge via joint multi‐cell non‐orthogonal multiple access and traffic offloading

Multi-agent-Based Load Balancing in Mobile Edge Computing

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