Joint Channel Assignment and Adaptive Mode Selection in MIMO-Based Cognitive Radio Networks

Shraideh, Shefaa; Alshamali, Ahmad

doi:10.1007/s13369-020-04675-4

Cited by 10 publications

(1 citation statement)

References 35 publications

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“…Joint channel assignment and adaptive multi-input-multi-output (MIMO) enhances the performance of the system by selecting MIMO operating mode for every idling channels according to the surrounding radio frequency environment [21]. It also achieves greater performance by selecting channel with the highest throughput.…”

Section: Related Workmentioning

confidence: 99%

Channel Selection Algorithm Optimized for Improved Performance in Cognitive Radio Networks

Tlouyamma

Velempini

2021

Wireless Pers Commun

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A major concern in the recent past was the traditional static spectrum allocation which gave rise to spectrum underutilization and scarcity in wireless networks. In an attempt to solve this challenge, cognitive radios technology was proposed. It allows a spectrum to be accessed dynamically by Cognitive radio users or secondary users (SU). Dynamic access can efficiently be achieved by making necessary adjustment to some Medium access control (MAC) layer functionalities such as sensing and channel allocation. MAC protocols play a central role in scheduling sensing periods and channel allocation which ensure that the interference is reduced to a tolerable level. In order to improve the accuracy of sensing algorithm, necessary adjustments should be made at MAC layer. Sensing delays and errors are major challenges in the design of a more accurate spectrum sensing algorithm. This study focuses on designing a channel selection algorithm to efficiently utilize the spectrum. Channels are ordered and grouped to allow faster discovery of channel access opportunities. The ordering is based on descending order of channel’s idling probabilities. Grouping of channels ensured that channels are sensed simultaneously. These two techniques greatly reduce delays and maximized throughput of SU. Hence, Extended Generalized Predictive Channel Selection Algorithm, a proposed scheme has significantly performed better than its counterpart (Generalized Predictive Channel Selection Algorithm). Matlab simulation tool was used to simulate and plot the results of the proposed channel selection algorithm.

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Section: Related Workmentioning

confidence: 99%

Channel Selection Algorithm Optimized for Improved Performance in Cognitive Radio Networks

Tlouyamma

Velempini

2021

Wireless Pers Commun

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Design and Implementation of Multiple-User Variable Rate Channel Assignment Method in Cognitive Radio System

Mallikarjuna¹,

Bellad²,

Prajwal³

et al. 2023

Lecture Notes in Electrical Engineering

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Identifying Malicious Secondary User Presence Within Primary User Range in Cognitive Radio Networks

Brinda¹,

Bhuvaneshwari

2021

Wireless Pers Commun

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Cognitive Radio (CR) is a widely used wireless radio communication to utilize the available spectrum space of licensed users (Primary Users) efficiently. The primary Users (PU) unused spectrum space for a particular period is allocated to the Secondary Users (SU). The most alarming issue in this assignment is security, in which the secondary users disguise as primary users and misuses the allotted spectrum. To address this issue, in this paper we have proposed the Boundary detection method that uses the estimated location of each SU, which is obtained using the Recurrent Neural Network algorithm, to determine the boundary of PU coverage. Then Malicious User Detection by Ordering (MUDO) methodology is proposed, in which all secondary users are ordered, and based on the orders the SUs are paired with corresponding PUs. The SUs with the least orders are discarded as they might be malicious users. The proposed methodology possesses higher detection speed and precise detection thereby enhancing the performance of Cognitive Radio (CR).

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Joint Channel Assignment and Adaptive Mode Selection in MIMO-Based Cognitive Radio Networks

Cited by 10 publications

References 35 publications

Channel Selection Algorithm Optimized for Improved Performance in Cognitive Radio Networks

Channel Selection Algorithm Optimized for Improved Performance in Cognitive Radio Networks

Design and Implementation of Multiple-User Variable Rate Channel Assignment Method in Cognitive Radio System

Identifying Malicious Secondary User Presence Within Primary User Range in Cognitive Radio Networks

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