An efficient spectrum mobility management strategy in cognitive radio networks (original) (raw)

Optimization Of Spectrum Management in A Cognitive Radio Network using Fuzzy Logic

International Journal of Engineering Research & Technology (IJERT), 2022

With the advancement of technology, especially the new generation mobile networks (5G and 6G), and the Internet of Things (IoT), the number of mobile terminals requiring access to the frequency channel in order to communicate is increasing. However, as the radio spectrum is limited in frequency, its optimal management is of paramount importance. Cognitive radio technology is a promising solution for efficient spectrum use by allowing two users, one primary and one secondary, to share the same frequency channel without disrupting communication. By combining it with artificial intelligence (AI) techniques, the results obtained could be even more convincing. This paper presents a research work on spectrum management in cognitive radio networks using fuzzy logic. Indeed, we have used fuzzy logic as a decision support system to propose a solution that will reduce interference and the number of channel switches, while maintaining a good Quality of Service (QoS). The obtained scheme performances are realized using the MatLab simulator and aim at optimizing the results of the research work of Ali et al. in [1] from which we have been inspired.

Fuzzy Logic Power Control in Cognitive Radio

2009 16th International Conference on Systems, Signals and Image Processing, 2009

Opportunistic radio spectrum access has the possibility to improve spectrum utilization needed for next generation mobile networks. The main challenge to opportunistic radio spectrum access lies in finding balance in conflicting goals of satisfying performance requirements while minimizing interference. In this paper we propose new strategy for fuzzy logic transmit power control which enables cognitive secondary user to achieve its required transmission rate and quality, while minimizing interference to the primary users and other concurrent secondary users.

Optimal Fuzzy Logic Power Control in cognitive Radio A Comparative Study

nternational journal of advanced research in computer and communication engineering, 2014

This paper presents the spectrum sharing network consisting of a pair of primary users (PUs) and a pair of cognitive users or secondary user (SUs) in fading wireless channels. Cognitive radio networks are the spectrum utilizing networks. When both the links (primary user link and secondary user link) utilized the spectrum simultaneously networks are called the spectrum sharing networks. During the spectrum sharing, the interference will occur at the primary user link and secondary user degrades the QoS of the primary user link due to same frequency band utilization from the PUs and SUs. The priority of the primary user's spectrum utilization will be higher than secondary user's spectrum utilization. This study discussed about the QoS assurance of primary users, improved the performance of the secondary users and minimization of bit rate in the spectrum sharing cognitive radio network.

Novel Spectrum Handoff in Cognitive Radio Networks Using Fuzzy Logic

International Journal of Information Technology and Computer Science, 2013

Cognitive rad io is a technology initiated by many research organizations and academic institutions to raise the spectrum utilization of underutilized channels in order to alleviate spectrum scarcity problem to a larger extent. Spectru m handoff is in itiated due to appearance of primary user (PU) on the channels occupied by the secondary user (SU) at that time and location or interference to the PU exceeds the certain threshold. In this paper, we propose a novel spectrum handoff algorith m using fuzzy logic based approach that does two important functions: 1) adjusts transmission power of SU intelligently in order to avoid handoff by reducing harmful interference to PUs and 2) takes handoff decisions intelligently in the light of new parameter such as expected holding t ime (HT) of the channel as one of its antecedent. Simu lated results show impact analysis of selection of the channel in the light of HT information and the co mparison with random selection algorith m demonstrates that there is considerable reduction in handoff rate of SU.

Smart Radio Spectrum Management for Cognitive Radio

2011

Today's wireless networks are characterized by fixed spectrum assignment policy. The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communication paradigm to exploit the existing wireless spectrum opportunistically. Cognitive radio is a paradigm for wireless communication in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. In this work, a fuzzy logic based system for spectrum management is proposed where the radio can share unused spectrum depending on some parameters like distance, signal strength, node velocity and availability of unused spectrum. The system is simulated and is found to give satisfactory results.

A Review on Spectrum Mobility for Cognitive Radio Networks

2015

Cognitive radio is one of the technologies which has the potential to improve the spectrum utilization and network performance. Spectrum Mobility is an indispensable component in cognitive radio network that not only guarantees desired QoS of primary users but also grants resilient service for secondary users. Spectrum Mobility occurs when the primary user appears in the licensed band occupied by secondary user and it is used to avoid interference between primary and secondary users. This paper provides a systematic current overview of spectrum mobility process, various performance metrics and challenges regarding spectrum mobility are pointed out and finally a number of promising concepts and schemes are briefly presented.

Performance Enhancements of Cognitive Radio Networks Using the Improved Fuzzy Logic

Journal of Soft Computing Paradigm, 2019

The rapid increase in the mobile device and the different types of wireless communication has led to the necessity of the extra spectrum allocation for the proper transmission of the information. Since the additional spectrum allocation for every network involved in the data transmission is a strenuous process, the efficient management of the spectrum allocation is preferred. The cognitive radio technology does a befitting service in the managing the allocation of the spectrum efficiently by providing the vacant spaces of the licensed users to the secondary users and vacating the secondary users when the licensed user request for the spectrum. This results in the deterioration in the performance of the secondary users due to the immediate evacuating. The conventional methods in the deciding the channel switching remains unsuitable for the cognitive radio network, so to have an effective decision on switching and selecting the channel the paper put forth the improved fuzzy logic that...

A Novel Approach for Spectrum Access Using Fuzzy Logic in Cognitive Radio

International Journal of Information Technology and Computer Science, 2012

In this paper, we have proposed a novel approach using Fuzzy Logic System (FLS) for the potential management of the spectrum access. We have used four descriptors such as spectrum utilization efficiency of the secondary user, mobility, distance of the primary user, and signal strengths of the secondary users. On the basis of these descriptors, there are 81 fuzzy rules have been setup, which are based on the linguistic knowledge. The output of the FLS provide the possibility of accessing spectrum band for secondary users and the user with the greatest possibility has to assigned the available spectrum band.

Opportunistic spectrum access using Fuzzy Logic for cognitive radio networks

International Conference on Communications and Electronics, 2008

Recent studies and measurements have shown that, with the traditional spectrum access approach, the radio spectrum assigned to primary (licensed) users is vastly underutilized. While many spectrum methods have been proposed to use spectrum effectively, the opportunistic spectrum access has become the most viable approach to achieve near-optimal spectrum utilization by allowing secondary (unlicensed) users to sense and access available spectrum opportunistically. Opportunistic spectrum access approach is enabled by cognitive radios which are able to sense the unused spectrum and adapt their operating characteristics to the real-time environment. However, a naive spectrum access for secondary users can make spectrum utilization inefficient and increase interference to adjacent users. In this paper, we propose a novel approach using Fuzzy Logic System (FLS) to control the spectrum access. Three descriptors are used: spectrum utilization efficiency of the secondary user, its degree of mobility, and its distance to the primary user. The linguistic knowledge of spectrum access based on these three descriptors is obtained from a group of network experts. 27 fuzzy rules are set up based on this linguistic knowledge.