Relay selection for secure 5G green communications

Νομικός, Νικόλαος; Nieto, Ana; Makris, Prodromos; Skoutas, Dimitrios N.; Vouyioukas, Demosthenes; Rizomiliotis, Panagiotis; López, Javier; Skianis, C.

doi:10.1007/s11235-014-9890-7

Cited by 27 publications

(16 citation statements)

References 47 publications

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“…In , a cooperative framework was explored to enhance the wireless physical layer security. As a key technology in future wireless networks , relay selection was studied extensively and well. At present, wireless networks with cooperative relays become more and more popular.…”

Section: Introductionmentioning

confidence: 99%

Improving secrecy for multi‐relay multi‐eavesdropper wireless systems through relay selection

Ding

Song

Zou

et al. 2016

Trans. Emerging Tel. Tech.

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In this paper, we consider a cooperative relay network consisting of a source, a destination and multiple decode-andforward relays in the presence of multiple eavesdroppers, which intend to tap confidential messages transmitted by both the source and relays. We propose both the so-called secrecy maximisation oriented relay selection (SMORS) and multirelay oriented relay selection (MRORS) schemes to improve the physical layer security of wireless communications. In the SMORS scheme, a single relay with the maximal secrecy rate is selected among all the decode-and-forward relays to forward the source signal. By contrast, in the MRORS scheme, the relays that succeed in decoding the source signal will be employed to simultaneously forward their decoded signals to the destination. We analyse the intercept probability of the SMORS and MRORS schemes as well as the traditional max-min relay selection scheme. It is shown that the proposed MRORS scheme outperforms the SMORS and max-min relay selection schemes in terms of the intercept probability. Additionally, it is shown that with an increasing number of eavesdroppers, the intercept performance of wireless communications degrades, which can be well addressed using the SMORS and MRORS schemes through increasing the number of relays. By contrast, increasing the number of relays has little impact on the intercept probability for the conventional max-min relay selection scheme Transactions on Emerging Telecommunications Technologies.

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Section: Introductionmentioning

confidence: 99%

Improving secrecy for multi‐relay multi‐eavesdropper wireless systems through relay selection

Ding

Song

Zou

et al. 2016

Trans. Emerging Tel. Tech.

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show abstract

“…It is well-known that cooperative relaying with relay selection can bring some benefits in terms of rate, EE, and security. More specifically, cooperative relaying combined with relay selection has the potential of maximizing the secrecy capacity [109], maximizing the Shannon capacity to the destination node as well as minimizing that to the eavesdropper [109], [110], reducing the secrecy outage probability [111], [112], maximizing the SNR ratio of the destination node to the eavesdropper [110], [113], or saving the limited power of network nodes [64], [114], [115]. Generally speaking, to strengthen the network security against the eavesdropping attack, three relay selection schemes have been proposed, which are referred to as minimum selection considering only the relay-eavesdropper links, conventional selection considering only the relay-destination links, and the optimal selection taking the both links into account [110], [113].…”

Section: Antenna/node Selection and Cooperationmentioning

confidence: 99%

“…The resource-limited regime motivates us to develop the power-efficient transmission strategies which aim at minimizing power consumption [114], [166], [167]. For this purpose, the power level of transmitters should be adjusted to save transmission power while satisfying the target QoS requirements.…”

Section: Power/energy Consumptionmentioning

confidence: 99%

A Survey of Optimization Approaches for Wireless Physical Layer Security

Wang

Bai

Zhao

et al. 2019

IEEE Commun. Surv. Tutorials

178

102

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Due to the malicious attacks in wireless networks, physical layer security has attracted increasing concerns from both academia and industry. The research on physical layer security mainly focuses either on the secrecy capacity/achievable secrecy rate/capacity-equivocation region from the perspective of information theory, or on the security designs from the viewpoints of optimization and signal processing. Because of its importance in security designs, the latter research direction is surveyed in a comprehensive way in this paper. The survey begins with typical wiretap channel models to cover common scenarios and systems. The topics on physical-layer security designs are then summarized from resource allocation, beamforming/precoding, and antenna/node selection and cooperation. Based on the aforementioned schemes, the performance metrics and fundamental optimization problems are discussed, which are generally adopted in security designs. Thereafter, the state of the art of optimization approaches on each research topic of physical layer security is reviewed from four categories of optimization problems, such as secrecy rate maximization, secrecy outrage probability minimization, power consumption minimization, and secure energy efficiency maximization. Furthermore, the impacts of channel state information on optimization and design are discussed. Finally, the survey concludes with the observations on potential future directions and open challenges.

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“…On the other hand, in multiple technology cooperation, the source node can send the information via one technology, while the relay node uses a different technology to forward the information to destination. A more recent work is presented in [17] that provide a classification of relays based on their distinct communication attributes, such as processing, multiple antennas, storage, channel estimation, density and security level.…”

Section: Cooperative Communicationmentioning

confidence: 99%

“…The current implementation uses 802.11g. WiFi in the 2.4 GHz band and UWB operating in WiMedia Band Group 3 (6336-7920 GHz) [17].…”

Section: Testbed Platform Architecturementioning

confidence: 99%

Context-aware cooperative testbed for energy analysis in beyond 4G networks

Alam

Trapps²,

Mumtaz

et al. 2016

Telecommun Syst

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The complexity of heterogeneous wireless networks in synergy with battery powered mobile devices is driving new stringent requirements in terms of power efficiency to ensure that battery life, environmental and thermal criteria can be met. Modern mobile devices are equipped with multiple interfaces, which allow them to exploit the benefits offered by heterogeneous networking environments, but on the other hand, drain battery swiftly. In this paper, architecture for a context-based node and a testbed platform for the analysis of energy consumption of heterogeneous cooperative communications are presented. The demonstrative testbed comprises a WiFi Access Point, which provides WiFi coverage in the infrastructure mode, as well as nodes capable of communicating through short-range ultra-wideband WiMedia. The testbed includes a context aware module that provides and stores information related to different nodes in the system. The paper shows how context information can be used to save the energy of mobile devices and extend their battery lifetime using short-range communications. The testbed is used as a proof-of-concept for the practical implementation of the cooperative communications concept. The obtained results show that significant amount of energy can be saved using context information along cooperation among multiple interfaces, in comparison to direct communications.

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Relay selection for secure 5G green communications

Cited by 27 publications

References 47 publications

Improving secrecy for multi‐relay multi‐eavesdropper wireless systems through relay selection

Improving secrecy for multi‐relay multi‐eavesdropper wireless systems through relay selection

A Survey of Optimization Approaches for Wireless Physical Layer Security

Context-aware cooperative testbed for energy analysis in beyond 4G networks

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