Performance study of a CSMA based multiuser MAC protocol for cognitive radio networks: analysis of channel utilization and opportunity perspective

Chouhan, Lokesh; Trivedi, Aditya

doi:10.1007/s11276-015-0947-7

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…They combined multichannel non-persistent CSMA and reinforcement learning to increase system throughput. The Markov chain model with a CSMA protocol is worked in [12] for better channel utilization. They derived channel utilization and the probability of success rate for this CSMA protocol in terms of idle time and collision time.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Mangairkarasi

Arivudainambi

2022

Preprint

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In Cognitive Radio Network (CRN), secondary users are allowed to access the licensed spectrum bands when it was not used by the primary user. The activities of the secondary users such as “how long to sense” and “how long to transmit” make a considerable intrusion into the quality of service of the secondary user due to dynamic spectrum access. Dynamic spectrum access techniques improve the efficiency of spectrum utilization. To alleviate the processing delay involved in spectrum utilization, spectrum prediction technique has been proposed for CRN. In this paper, an approach called Static Neighbor Graph (SNG) based prediction used for the prediction of the occupancy status of a primary user. Besides the prediction, the secondary user evades the sensing duty on busy channels which makes a considerable reduction in sensing time and energy consumption significantly. Along with SNG, the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) is suggested for the coordination of the channel access to the secondary network. The performance of this proposed work has been illustrated and validated in terms of throughput, packet delivery ratio, and channel utilization.

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Section: Related Workmentioning

confidence: 99%

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Mangairkarasi

Arivudainambi

2022

Preprint

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“…Cognitive radio networks (CRNs) have altered the thinking around traditional static channel allocation, and have given rise to the concept of dynamic channel distribution. Through the perception of the wireless communication environment, the channels dynamically change the transmission power, carrier frequency, modulation system and some other transmission parameters to adapt to the changes in the environment and improve the channel utilization [1], [2], [3].…”

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confidence: 99%

Performance analysis and optimization research of multi-channel cognitive radio networks with a dynamic channel vacation scheme

Ma¹,

Wang²,

Yue³

2022

JIMO

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In order to resolve the issues of channel scarcity and low channel utilization rates in cognitive radio networks (CRNs), some researchers have proposed the idea of "secondary utilization" for licensed channels. In "secondary utilization", secondary users (SUs) opportunistically take advantage of unused licensed channels, thus guaranteeing the transmission performance and quality of service (QoS) of the system. Based on the channel vacation scheme, we analyze a preemptive priority queueing system with multiple synchronization working vacations. Under this discipline, we build a three-dimensional Markov process for this queueing model. Through the analysis of performance measures, we obtain the average queueing length for the two types of users, the mean busy period and the channel utility. By analyzing several numerical experiments, we demonstrate the effect of the parameters on the performance measures. Finally, in order to optimize the system individually and socially, we establish utility functions and provide some optimization results for PUs and SUs.

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Influence of Artificial Intelligence on Cognitive Radio Applications

Pal

2023

Advances in Wireless Technologies and Telecommunication

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Cognitive radio networks (CRNs) promise to meet device-to-device communication requirements for effective spectrum utilization and power control in a distributed environment for industrial applications. The architecture of the CRN must maintain a high data rate (throughput) at low power consumption, which requires both radio spectrum efficient and energy efficient system design. In order to attain these objectives, the architecture adopts a CRN model needs to operate in an interweave mode that allows spectrum sensing followed by opportunistic secondary user (SU) data transmission over the unused bandwidth of the primary user (PU) in an operating structure. It improves the usage of the radio spectrum intelligently. Cognitive radio works in tandem with artificial intelligence (AI) techniques to provide an intelligent allocation of resources for its users. This chapter aims to highlight the various AI techniques used in cognitive radio operations to enhance cognition capabilities in CRNs and present a review of the subject.

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Performance study of a CSMA based multiuser MAC protocol for cognitive radio networks: analysis of channel utilization and opportunity perspective

Cited by 3 publications

References 29 publications

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Performance analysis and optimization research of multi-channel cognitive radio networks with a dynamic channel vacation scheme

Influence of Artificial Intelligence on Cognitive Radio Applications

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