Wireless Energy Harvesting with Cooperative Relaying under the Best Relay Selection Scheme

Andrawes, Admoon; Nordin, Rosdiadee; Ismail, Mahamod

doi:10.3390/en12050892

Cited by 15 publications

(10 citation statements)

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“…It has been shown that the proposed scheme is superior to that of direct transmission for a given average transmit power. In [20], the authors consider the performance EH relays with the best relay selection (BRS). Specifically, it has been shown that spectral efficiency degradation occurs due to the EH relaying when compared with conventional relaying.…”

Section: Introductionmentioning

confidence: 99%

Multi-relay selection in energy-harvesting cooperative wireless networks: game-theoretic modeling and analysis

et al. 2019

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This paper studies distributed multi-relay selection in energy-harvesting cooperative wireless networks and models it as an Indian Buffet Game (IBG). Particularly, the IBG is utilized to model the multirelay selection decisions of network source nodes, while account for negative network externality. Two scenarios are considered: (1) constrained selections (CS), and (2) unconstrained selections (US). In the former scenario, each source is constrained to a maximum number of relay selections; while in the latter scenario, the source nodes can select as many relays as possible. Since the relays are energy-harvesting-and thus intermittently harvest random amounts of energy-the accumulated energy at each relay is unknown to the source nodes, leading to uncertain relays' energy states. In turn, a non-Bayesian learning (NBL) algorithm is devised for the source nodes to learn the relays' energy states. After that, two distributed best-response (BR) recursive algorithms, namely BR-CS and BR-US, are proposed to allow the source nodes to make multi-relay selection decisions, while guaranteeing subgame perfect Nash equilib-This work is partially supported by the Kuwait Foundation for the Advancement of Sciences (KFAS), under project code PN17-15EE-02.

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Section: Introductionmentioning

confidence: 99%

Multi-relay selection in energy-harvesting cooperative wireless networks: game-theoretic modeling and analysis

et al. 2019

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“…Based on the parameters in Table 1, the OMA network provides a higher flat region compared to Ref. [36], due to using actual distances and a different SNR threshold. It is clearly shown that the NOMA system provides high EE compared to the OMA system.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Energy-Efficient Downlink for Non-Orthogonal Multiple Access with SWIPT under Constrained Throughput

2019

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Non-Orthogonal Multiple Access (NOMA) has been proposed recently as an emerging radio access technology for the Fifth Generation (5G) to achieve high spectral efficiency (SE). In addition, simultaneous wireless information and power transfer (SWIPT) has been receiving exceptional attention because of its role in increasing energy efficiency (EE). In this paper, the performance of the downlink SWIPT-NOMA system has been evaluated. In this paper, signal to interference and noise ratio (SINR) is derived for near and far users with outage probability for each user, where the near user acts as an energy harvesting (EH) node. The Genetic algorithm (GA) is used as an optimization technique for the power splitting ratio and power allocation coefficients to maximize the EE under eligible SE. The outage probability for the near and far user is taken into consideration for the optimization process. In this work, the results from the SE-EE metric show that the maximum EE reached 0.325 Mbits/J at SE of 9 bits/sec/Hz.On the other hand, the use of radio-frequency (RF) signals for the Simultaneous Wireless Information and Power Transfer (SWIPT) has become a valuable source of energy harvesting (EH) because it is able to simultaneously carry both energy and information [17]. Another alternative power source from the wireless transmission that can be exploited by the use of near-field wireless power transfer (WPT) is presented in [18]. EH brings more improvement in energy efficiency compared to conventional cooperative relaying by decreasing the energy consumption. On the other hand, the use of SWIPT may reduce spectral efficiency (SE) [19] because the maximization of the total data rate will achieve higher SE for the next wireless generation.

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“…IoT technology will greatly benefit from WEH; the battery of IoT devices will not be replaced or recharged frequently. Wireless devices can function longer than the expected lifetime using smart WEH techniques, despite being equipped with a traditional battery [6,7]. On the other hand, CR can intelligently switch between channels or allocate secondary users (SU) to use the licensed frequency bands of primary users (PU) based on smart sensing capability [8].…”

Section: Introductionmentioning

confidence: 99%

Design an Optimum Energy Harvesting Model for Bidirectional Cognitive Radio Networks

Hasan

Mmj

Ahmed

et al. 2021

Preprint

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The energy efficiency and spectrum shortage problem of wireless devices has become a concern for researchers worldwide as the number of wireless devices increases at an unparalleled speed. Many new solutions have been proposed to extend mobile devices' battery life, such as wireless energy harvesting from traditional radio frequency signals to design new smart battery chips. This paper considers a cognitive radio network model where primary users have their specific licensed band, and secondary users equipped with necessary hardware required for energy harvesting can use the licensed band of the primary user by smart sensing capability. First, the expression of outage probability is theoretically derived for uplink and downlink scenarios. Moreover, maximum energy efficiency for both uplink and downlink in the cognitive radio network model subject to interference and noise is investigated here. The theoretical analysis is then evaluated. It has been observed that outage probability improves low harvested power in the downlink scenario and high harvested power in the uplink scenario. Finally, the result signifies that energy efficiency is improved using optimum power for uplink and downlink scenarios.

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Wireless Energy Harvesting with Cooperative Relaying under the Best Relay Selection Scheme

Cited by 15 publications

References 50 publications

Multi-relay selection in energy-harvesting cooperative wireless networks: game-theoretic modeling and analysis

Multi-relay selection in energy-harvesting cooperative wireless networks: game-theoretic modeling and analysis

Energy-Efficient Downlink for Non-Orthogonal Multiple Access with SWIPT under Constrained Throughput

Design an Optimum Energy Harvesting Model for Bidirectional Cognitive Radio Networks

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