Resource Allocation for Secure SWIPT-Enabled D2D Communications With $\alpha$ Fairness

Xu, Yongjun; Gu, Bowen; Dong, Li; Yang, Zhaohui; Huang, Chongwen; Wong, Kai-Kit

doi:10.1109/tvt.2021.3129787

Cited by 17 publications

(6 citation statements)

References 21 publications

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“…By such, an enhancement over the information secrecy, energy efficiency, and spectral efficiency can be simultaneously achieved. A resource allocation scheme is proposed in [16] with the purpose of maximizing the security-aware energy efficiency for simultaneous wireless information and power transfer (SWIPT)-enabled D2D users. A D2D underlaying cognitive cellular network is investigated in [17], where new analytic expressions for the secrecy outage probability and secrecy throughput are derived to assess the secrecy performance in two different receiver selection schemes, i.e., selecting the receiver with either the strongest channel or nearest location.…”

Section: A D2d Communicationmentioning

confidence: 99%

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Covert D2D Communication Underlaying Cellular Network: A System-Level Security Perspective

Feng¹,

Xiao²,

Niyato³

et al. 2023

Preprint

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To meet the surging wireless traffic demand, device-to-device (D2D) communication underlaying cellular networks to reuse the cellular spectrum has been envisioned as a promising solution. In this paper, we aim to secure the D2D communication of the D2D-underlaid cellular network by leveraging covert communication to hide its presence from the vigilant adversary. In particular, there are adversaries aiming to detect D2D communications based on their received signal powers. To avoid being detected, the legitimate entity, i.e., D2D-underlaid cellular network, performs power control so as to hide the presence of the D2D communication. We model the combat between the adversaries and the legitimate entity as a two-stage Stackelberg game. Therein, the adversaries are the followers and aim to minimize their detection errors at the lower stage while the legitimate entity is the leader and aims to maximize its utility constrained by the D2D communication covertness and the cellular quality of service (QoS) at the upper stage. Different from the conventional works, the study of the combat is conducted from the system-level perspective, where the scenario that a large-scale D2D-underlaid cellular network threatened by massive spatially distributed adversaries is considered and the network spatial configuration is modeled by stochastic geometry. We obtain the adversary's optimal strategy as the best response from the lower stage and also both analytically and numerically verify its optimality.Taking into account the best response from the lower stage, we design a bi-level algorithm based on the successive convex approximation (SCA) method to search for the optimal strategy of the legitimate entity, which together with the best response from the lower stage constitute the Stackelberg equilibrium.Numerical results are presented to evaluate the network performance and reveal practical insights that instead of improving the legitimate utility by strengthening the D2D link reliability, increasing D2D transmission power will degrade it due to the security concern.

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Section: A D2d Communicationmentioning

confidence: 99%

“…where F I D a +I C a (•) has been shown in (16) and 2) D2D Network: For D2D receiver d Rx , its successful decoding probability defined in (2) is…”

Section: A Channel Modelmentioning

confidence: 99%

Covert D2D Communication Underlaying Cellular Network: A System-Level Security Perspective

Feng¹,

Xiao²,

Niyato³

et al. 2023

Preprint

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“…The energy harvested using PS-EH, the relay transmits the signals at the receiver and after employing MRC rule, the signal is utilised for information decoding. Massive MIMO [77], [78], [79], [80], [79], [83], [84] [81], [82], [84] D2D communication [85], [86], [87], [88] [89], [90], [91] [89], cognitive radio [92], [93], [94], [95], [98], [99], [100], [101] [96], [97] multi-user network [102], [103], [104]…”

Section: ) Time Splitting Protocolmentioning

confidence: 99%

A Survey on Energy harvested Cooperative Communication System

Garg¹,

mittal²,

Gupta³

et al. 2022

Preprint

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“…D2D communication is low latency and highly reliable, which makes it perfect for vehicle-to-vehicle (V2V), UAV, and emergency communications [8][9][10][11][12][13]. Academic and industrial researchers are becoming increasingly interested in this topic, so much research has been done on mode selection, power control, and resource allocation [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for D2D Communication Underlaying Cellular Networks: A Distance-Based Grouping Strategy

Gao

Meng

Yang

et al. 2023

Wireless Communications and Mobile Computing

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Device-to-device (D2D) communication with direct terminal connection is a promising candidate for 5G communication, which increases the capacity of cellular networks and spectral efficiency. Introducing D2D communication to cellular users (CUs) will increase system capacity, and CUs will provide reusable channel resources for D2D users (DUs). However, the sharing of channel resources between CUs and DUs will lead to cofrequency interference and affect the communication quality of user terminals. As a means of improving spectrum utilization and solving cofrequency interference problems, a one-to-many D2D communication system model is established in cellular networks. Through model analysis, the interference between CUs and DUs is correlated with their distance from one another. Considering the different interference of CUs to DUs at different distances, an algorithm for resource allocation based on distance grouping is proposed. With this algorithm, DUs will reuse channel resources of CUs within a reasonable distance in the group, and interference between DUs and CUs will be minimized. The improved particle swarm optimization algorithm is used to solve the optimal power, to achieve the maximum transmission rate of the system. Simulated results show that the algorithm will significantly improve system throughput and performance while also lowering the computational complexity of the algorithm, enabling the whole system to have better communication quality.

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Resource Allocation for Secure SWIPT-Enabled D2D Communications With $\alpha$ Fairness

Cited by 17 publications

References 21 publications

Covert D2D Communication Underlaying Cellular Network: A System-Level Security Perspective

Covert D2D Communication Underlaying Cellular Network: A System-Level Security Perspective

A Survey on Energy harvested Cooperative Communication System

Resource Allocation for D2D Communication Underlaying Cellular Networks: A Distance-Based Grouping Strategy

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