A Novel Information and Energy Cooperation Transmission Scheme in Cognitive Spectrum Sharing-Based D2D Communication Systems

Zhao, Daqian; Cui, Yajuan; Tian, Hui; Zhang, Ping

doi:10.1109/access.2019.2919805

Cited by 11 publications

(4 citation statements)

References 40 publications

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“…An attractive incentive will tempt a cDR to act as a relay for the cDU. Several different and interesting incentive mechanisms have been proposed in the literature like cDR can be assigned portion of the cellular spectrum, cDRs can use beam-forming to harvest energy and improve its energy efficiency, the cellular network can offer tariff relief to cDRs and cDUs can offer crypto-currency to cDRs for compensation [46], [47], [48], [49], [50]. We propose a novel incentivebased relaying where cDRs are handsomely rewarded in terms of (i) increase in bandwidth by dedicating cellular resources (ii) decrease in cellular tariff (iii) a combination of both.…”

Section: A Cdu Objective Functionmentioning

confidence: 99%

cDERSA: Cognitive D2D Enabled Relay Selection Algorithm to Mitigate Blind-Spots in 5G Cellular Networks

et al. 2021

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Blind-spots, where wireless signals do not reach within the coverage range, often emerge in a dynamic environment due to obstacles, geographical location or mobility of cellular users (CUs). Thus greatly reducing the overall system performance in terms of coverage and throughput. Relay-aided cognitive Device to Device (cD2D) communication system underlying the 5G cellular network can help mitigate blind-spots. Cognitive capability helps D2D users to acquire the spectrum opportunistically for proximity communication and establish a semi-independent network underlying the 5G network, which not only offloads 5G-New Radio (NR) base station but also enhances the overall system performance. In this work, we have developed a relay-aided cognitive D2D network that helps CUs falling into the blind-spots to retain access to the 5G network and increase wireless coverage. Relay selection requires mutual consent between the relay and the device in the blind-spot. The in-coverage devices are tempted to act as relays through incentive-based mechanism. For enhanced system performance a suitable match among the devices in blind-spots and the relays is required. cD2D enabled relay selection algorithm (cDERSA) is proposed in this work, in which a cognitive D2D user (cDU), which is a CU falling in the blind-spot, establishes a relayed cD2D link to access 5G-NR gNodeB. All cDUs as well as the tempted relays, i.e. cognitive D2D relays (cDRs), first scan their surroundings for devices capable of D2D communication and based on multicriteria objective functions, build a priority table . A stable marriage problem is formulated and solved using a unique, stable, distributed, and efficient matching algorithm based on the Gale-Shapley algorithm. A new incentive mechanism is also developed to keep relays motivated to share their resources. Simulation is performed and their results show improvement in throughput and average user satisfaction, which validates our proposed cDERSA.

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Section: A Cdu Objective Functionmentioning

confidence: 99%

cDERSA: Cognitive D2D Enabled Relay Selection Algorithm to Mitigate Blind-Spots in 5G Cellular Networks

et al. 2021

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“…CR technology only improves the spectrum efficiency based on time and channel respectively but neglects potential optimization from a space perspective. In contrast, LTE advanced D2D communication permits enhancing the spectrum efficiency from the space perspective 13 …”

Section: Introductionmentioning

confidence: 99%

Performance of a cognitive device‐to‐device network in disaster situation under a collision constraint

Ghosh

Bhowmick

Chandra

et al. 2022

Int J Communication

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Summary In this paper, a multi‐hop cognitive radio (CR) enabled device‐to‐device (D2D) network is considered to extend the communication from a functional area (FA) to a non‐functional area (NFA). A D2D user utilizes a cellular user (CU) band in the cognitive mode for information transmission while maintaining the service quality of CUs by satisfying a collision constraint. It transmits with full power in overlay mode, while the power is controlled in underlay mode. We derive the outage probability of the considered D2D network. The main challenge in CR communications lies in the system robustness to uncertainties. In this paper, we also show the impact of the noise power uncertainty in a multi‐hop D2D network. The expressions for throughput and energy efficiency are also developed under collision constraint and noise uncertainty. The outage probability, throughput, and energy efficiency are investigated for several network parameters such as collision probability, sensing time, noise uncertainty, etc. It is observed that the collision constraint and noise uncertainty have significant impacts on network performance. A simulation test‐bed is developed in MATLAB, and the results obtained in the simulation are verified with the analytical results.

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“…Recently, cognitive radio network energy-harvesting systems based on spectrum sharing have become a significant research direction. A novel energy cooperation transmission scheme was proposed for cognitive spectrum-sharing-based D2D communication system in [27]. Li et al [28] considered a spectrum-sharing scheme based on simultaneous wireless information and power transfer (SWIPT).…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in Cognitive Radio Wireless Sensor Networks with Energy Harvesting

Gao

Zhou

et al. 2019

Sensors

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The progress of science and technology and the expansion of the Internet of Things make the information transmission between communication infrastructure and wireless sensors become more and more convenient. For the power-limited wireless sensors, the life time can be extended through the energy-harvesting technique. Additionally, wireless sensors can use the unauthored spectrum resource to complete certain information transmission tasks based on cognitive radio. Harvesting enough energy from the environments, the wireless sensors, works as the second users (SUs) can lease spectrum resource from the primary user (PU) to finish their task and bring additional transmission cost to themselves. To minimize the overall cost of SUs and to maximize the spectrum profit of the PU during the information transmission period, we formulated a differential game model to solve the resource allocation problem in the cognitive radio wireless sensor networks with energy harvesting, considering the SUs as the game players. By solving the proposed resource allocation game model, we found the open loop Nash equilibrium solutions and feedback Nash equilibrium solutions for all SUs as the optimal control strategies. Ultimately, series numerical simulation experiments have been made to demonstrate the rationality and effectiveness of the game model.

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A Novel Information and Energy Cooperation Transmission Scheme in Cognitive Spectrum Sharing-Based D2D Communication Systems

Cited by 11 publications

References 40 publications

cDERSA: Cognitive D2D Enabled Relay Selection Algorithm to Mitigate Blind-Spots in 5G Cellular Networks

cDERSA: Cognitive D2D Enabled Relay Selection Algorithm to Mitigate Blind-Spots in 5G Cellular Networks

Performance of a cognitive device‐to‐device network in disaster situation under a collision constraint

Resource Allocation in Cognitive Radio Wireless Sensor Networks with Energy Harvesting

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