Throughput Analysis of a Energy Harvesting Cooperative Cognitive Radio Network

Das, Gopal; Saha, Seemanti; Bhowmick, Abhijit; Maity, Santi P.

doi:10.23919/ursigass49373.2020.9232411

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…To improve the performance of the CRIoT network with SWIPT, some resource allocation schemes have been proposed to improve network performance [10][11][12][13][14]. Mokhtarzadeh et al [10] considered a CR network (CRN) in which each SU was equipped with a multiantenna full-duplex transceiver.…”

Section: Related Workmentioning

confidence: 99%

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Multi-Dimensional Resource Allocation for Throughput Maximization in CRIoT with SWIPT

Jiang

2023

Energies

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To solve the power supply problem of battery-limited Internet of Things devices (IoDs) and the spectrum scarcity problem, simultaneous wireless information and power transfer (SWIPT) and cognitive radio(CR) technology were integrated into the Internet of Things (IoT) network to build a cognitive radio IoT (CRIoT) with SWIPT. In this network, secondary users (SUs) could adaptively switch between spectrum sensing, SWIPT, and information transmission to improve the total throughput. To solve the complicated multi-dimensional resource allocation problem in CRIoT with SWIPT, we propose a multi-dimensional resource allocation algorithm for maximizing the total throughput. Three-dimensional resources were jointly optimized, which are time resource (the duration of each process), power resource (the transmit power and the power splitting ratio of each node), and spectrum resource, under some constraints, such as maximum transmit power constraint and maximum permissible interference constraint. To solve this intractable mixed-integer nonlinear program (MINLP) problem, firstly, the sensing task assignment for cooperative spectrum sensing (CSS) was obtained by using a greedy sensing algorithm. Secondly, the original problem was transformed into a convex problem via some transformations with fixed-power splitting ratio and time switching. The Lagrange dual method and subgradient method were adopted to obtain the optimal power and channel allocation. Then, a one-dimensional search algorithm was used to obtain the optimal power splitting ratio and the time switching ratio. Finally, a heuristic algorithm was adopted to obtain the optimal sensing duration. The simulation results show that the proposed algorithm can achieve higher total system throughput than other benchmark algorithms, such as a greedy algorithm, an average algorithm, and the Kuhn–Munkres (KM) algorithm.

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Section: Related Workmentioning

confidence: 99%

“…They optimally allocated spectrum resources to maximize the throughput with permissible interference to PU. Das et al [11] studied a cooperative EH-CRN. When PU was present, the optimal number of SUs served as relay to cooperate in PU transmission, otherwise each SU transmitted its own data.…”

Section: Related Workmentioning

confidence: 99%

Multi-Dimensional Resource Allocation for Throughput Maximization in CRIoT with SWIPT

Jiang

2023

Energies

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“…An distributed transmission power control mechanism for the CR sensor network with EH was proposed in [ 14 ], in which each node dynamically determined the increase or decrease in its transmission power according to its own available power and the available power of neighboring nodes. The authors in [ 15 ] studied the cooperative CRN with EH, under the constraints of the primary system performance and proposed an energy allocation ratio parameter to achieve the target throughput. In [ 16 ], the authors investigated a cognitive crossover network, where the SU’s energy-harvesting relay helped the primary user to transmit by using NOMA technology in the absence of a direct link.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Optimization of a Cooperative Transmission Protocol in NOMA-Assisted Cognitive Radio Networks with Discrete Energy Harvesting

Wang

Shi

Tang

et al. 2021

Entropy

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In this paper, we propose a spectrum-sharing protocol for a cooperative cognitive radio network based on non-orthogonal multiple access technology, where the base station (BS) transmits the superimposed signal to the primary user and secondary user with/without the assistance of a relay station (RS) by adopting the decode-and-forward technique. RS performs discrete-time energy harvesting for opportunistically cooperative transmission. If the RS harvests sufficient energy, the system performs cooperative transmission; otherwise, the system performs direct transmission. Moreover, the outage probabilities and outage capacities of both primary and secondary systems are analyzed, and the corresponding closed-form expressions are derived. In addition, one optimization problem is formulated, where our objective is to maximize the energy efficiency of the secondary system while ensuring that of the primary system exceeds or equals a threshold value. A joint optimization algorithm of power allocation at BS and RS is considered to solve the optimization problem and to realize a mutual improvement in the performance of energy efficiency for both the primary and secondary systems. The simulation results demonstrate the validity of the analysis results and prove that the proposed transmission scheme has a higher energy efficiency than the direct transmission scheme and the transmission scheme with simultaneous wireless information and power transfer technology.

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Resource allocation scheme for CCRN using hybrid Giza Pyramids construction-based complex-valued satin bowerbird optimization

Justus

Anuradha²

2022

J Supercomput

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Throughput Analysis of a Energy Harvesting Cooperative Cognitive Radio Network

Cited by 3 publications

References 12 publications

Multi-Dimensional Resource Allocation for Throughput Maximization in CRIoT with SWIPT

Multi-Dimensional Resource Allocation for Throughput Maximization in CRIoT with SWIPT

Performance Analysis and Optimization of a Cooperative Transmission Protocol in NOMA-Assisted Cognitive Radio Networks with Discrete Energy Harvesting

Resource allocation scheme for CCRN using hybrid Giza Pyramids construction-based complex-valued satin bowerbird optimization

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