SERS: Social-Aware Energy-Efficient Relay Selection in D2D Communications

Yu, Li; Zhang, Zufan; Wang, Honggang; Yang, Qing

doi:10.1109/tvt.2018.2810162

Cited by 55 publications

(45 citation statements)

References 45 publications

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“…Of all the results obtained, the work in ref. [115] that makes use of an intermediate relay was shown in Figure 7, to achieve maximum sum rates, thus corroborating the benefit of incorporating relays in wireless systems [74].…”

Section: Comparison Of Research Literature and Analysissupporting

confidence: 61%

“…Applications [56][57][58][59][60] Cognitive Radio Networks [30,41,47,61] K User Interference Channel [27,30,31,46,47] K User M × N MIMO Interference Channels [62,63] 5G Cellular Wireless Networks [64][65][66] Cooperative Interference Networks [66,67] Multihop Interference Networks [68,69] Ad hoc Networks [70,71] Physical Layer Security [72,73] Satellite Networks [74,75] D2D Networks [50,76] IoT Networks [34,35,38,51] Heterogeneous Networks…”

Section: Referencesmentioning

confidence: 99%

See 1 more Smart Citation

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

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Section: Comparison Of Research Literature and Analysissupporting

confidence: 61%

Section: Referencesmentioning

confidence: 99%

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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“…In addition to the explicit type of game model, researchers have established some game models based on different application scenarios [70][71][72][73][74]. Most of these game models are established with the following objectives as the ultimate goal: To establish trust relationships and increase the credibility of data, to defend against malicious attacks in the network, to help the system by choosing a better strategy, and to maximize network utility by achieving these goals [75][76][77][78][79][80][81].…”

Section: Relate Summarized Workmentioning

confidence: 99%

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Huang

Jia

Fang

et al. 2019

Sensors

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The widespread application of networks is providing a better platform for the development of society and technology. With the expansion of the scope of network applications, many issues need to be solved. Among them, the maximization of utility and the improvement of security have attracted much attention. Many existing attacks mean the network faces security challenges. The concept of trust should be considered to address these security issues. Meanwhile, the utility of the network, including efficiency, profit, welfare, etc., are concerns that should be maximized. Over the past decade, the concepts of game and trust have been introduced to various types of networks. However, there is a lack of research effort on several key points in distributed networks, which are critical to the information transmission of distributed networks, such as expelling malicious nodes quickly and accurately and finding equilibrium between energy assumption and high transmission rate. The purpose of this paper is to give a holistic overview of existing research on trust and game theory in networks. We analyzed that network utility can be maximized in terms of effectiveness, profits, and security. Moreover, a possible research agenda is proposed to promote the application and development of game theory and trust for improving security and maximizing utility.

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“…In the work of Ying and Nayak, a power‐efficient and social‐aware relay selection problem was investigated to enhance multihop D2D communications. The hidden social ties among UEs were considered in the work of Li et al to ensure that the selected relaying UEs are willing to participate in the cooperative communications. The time division broadcast protocol was adopted in a related work to minimize the total system transmit power consumption under quality‐of‐service constraints by jointly optimizing relay selection and node power allocation.…”

Section: Introductionmentioning

confidence: 99%

Power‐efficient D2D relaying cellular network access

Pan

Chen

Huang

et al. 2019

Trans Emerging Tel Tech

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Device‐to‐device (D2D) communications are exploited in this paper to assist remote user equipments (UEs) access the cellular network with reduced energy consumption. A power‐efficient relay selection criterion is proposed to guarantee that the power saved by D2D relaying access exceeds a given threshold. Then, the relay selection criterion is equivalently transformed into a region constraint, based on which the success probability of D2D relaying access is derived. Furthermore, the power consumption of D2D relaying access is analyzed in two stages: the stage from the remote UE to the relaying UE and the stage from the relaying UE to the base station. The calculation of the average power consumption requires a double integral over the plane, and the closed‐form expression is derived by applying the Green's theorem and proper variable substitutions. Finally, simulation results validate the analytical derivations and present the impacts of system parameters on the performance of D2D relaying access in terms of the success probability and power consumption.

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SERS: Social-Aware Energy-Efficient Relay Selection in D2D Communications

Cited by 55 publications

References 45 publications

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Power‐efficient D2D relaying cellular network access

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