A PMOGA-Based Approach for Efficient Spectrum Utilization in Cognitive Radio

2019 ◽  
pp. 81-89
Author(s):  
Subhashree Mishra ◽  
Sudhanshu Sekhar Singh ◽  
Bhabani Shankar Prasad Mishra ◽  
Manoj Kumar Mishra
Keyword(s):  
Cognitive Radio ◽  
Spectrum Utilization

scholarly journals Optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Haiyan Ye ◽  
Jiabao Jiang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Spectrum Utilization ◽  
Channel Characteristics ◽  
Optimal Linear ◽  
Static Division ◽  
Cooperative Nodes

AbstractThe lack of spectrum resources restricts the development of wireless communication applications. In order to solve the problems of low spectrum utilization and channel congestion caused by the static division of spectrum resource, this paper proposes an optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks. In this scheme, different weight values will be assigned for cooperative nodes according to the SNR of cognitive users and the historical sensing accuracy. In addition, the cognitive users can be clustered, and the users with the better channel characteristics will be selected as cluster heads for gathering the local sensing information. Simulation results show that the proposed scheme can obtain better sensing performance, improve the detection probability and reduce the error probability.

scholarly journals SPECTRUM SENSING USING CYCLIC PREFIX IN COGNITIVE RADIO WIRELESS SYSTEM

2013 ◽  
pp. 123-127
Author(s):  
T. NAGAMANI ◽  
M.V. SUDHAKAR ◽  
E. ADINARAYANA
Keyword(s):  
Cognitive Radio ◽  
User Satisfaction ◽  
Wireless Systems ◽  
Energy Detection ◽  
Substantial Improvement ◽  
Cyclic Prefix ◽  
Short Message ◽  
Spectrum Utilization ◽  
Primary Signal

The rapid growth of wireless communications has made the problem of spectrum utilization ever more critical. The increasing diversity (voice, short message, Web & multimedia) and demand of high quality-of-service (QoS) applications have resulted in overcrowding of the allocated (officially sanctioned) spectrum bands, leading to significantly reduced levels of user satisfaction. The concepts of GLRT algorithm and substantial improvement over the U-GLRT algorithm are explained. This paper presents a model which uses efficient CP method for CR in Wireless Systems. Primary signal has been detected in the OFDM transmission with both the CPCC and MP–based C-GLRT algorithms greatly outperform energy detection in multi path environment has been implemented using software design. The signal model in our analysis is to efficiently exploit the correlation among the transmitted signals due to the presence of CP. Proposed method of cognitive radio takes two steps of implementation .first named as MP based is to detect the noise and de-noise the signal and the second is cp based in which the signals are identified based on the cyclic prefix.

scholarly journals Towards cognitive radio networks: Spectrum utilization measurements in suburb environment

2009 ◽  
Author(s):  
Vaclav Valenta ◽  
Zbynek Fedra ◽  
Roman Marsalek ◽  
Genevieve Baudoin ◽  
Martine Villegas
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Spectrum Utilization

Development of mathematical model for multi-user coded-cooperation based cognitive radio system and its outage probability analysis

2021 ◽  
Author(s):  
Garima Singh ◽  
Gurjit Kaur
Keyword(s):  
Mathematical Model ◽  
Cognitive Radio ◽  
Outage Probability ◽  
Utilization Efficiency ◽  
Spectrum Efficiency ◽  
Spectrum Utilization ◽  
Radio System ◽  
Cognitive Radio System ◽  
Temperature Constraint ◽  
Coded Cooperation

Abstract In this paper, single and multi-user coded-cooperation based cognitive radio system is developed by designing its mathematical model where both source and relay will communicate to a single destination with the help of each other. Then all possible multi-user scenarios are developed and their end-to-end outage probability (Pout) is calculated for underlay mode of cognitive radio. The performance of the system is analyzed in the form of channel gain and interference temperature constraint for Rayleigh fading channel. The proposed system concludes that the coded cooperation with cognitive radio outperform the available techniques in the form of bandwidth, diversity, spectrum utilization efficiency and also improves the quality of communication. Furthermore, the theoretical analysis of the outage probability for both system models is validated by asymptotic analysis. The proposed system can set as a standard for all those cognitive radio applications which requires better spectrum efficiency even if there is a scarcity of multiple physical antennas.

DEVELOPMENT OF A SOFTWARE COMPLEX FOR INTELLIGENT TUNING OF OPERATING FREQUENCIES FOR COGNITIVE RADIO SYSTEMS

2021 ◽  
Author(s):  
Е.О. КАНДАУРОВА ◽  
Д.С. ЧИРОВ
Keyword(s):  
Cognitive Radio ◽  
Software Defined Radio ◽  
Experimental Studies ◽  
Spectrum Utilization ◽  
Radio System ◽  
Cognitive Radio System ◽  
Software Complex ◽  
Cognitive Radio Systems ◽  
Software Modules ◽  
Radio Systems

Представлено описание разработанных программных модулей интеллектуальной перестройки рабочих частот для системы когнитивного радио, в которых применяется ранее предложенный алгоритм анализа использования радиочастотного спектра. Также разработаны программные модули для взаимодействия с программно-определяемыми радиосистемами, такими как LimeSDR. Экспериментально показано, что использование алгоритма предсказания занятости частотных каналов позволяет сократить время оперативного сканирования спектра. A description of the developed software modules for intelligent tuning of operating frequencies for the cognitive radio system is presented. These software modules use the previously proposed algorithm of RF spectrum utilization analysis. Also, software modules have been developed for interacting with software-defined radio such as LimeSDR. Experimental studies have shown that the use of an algorithm for predicting the occupancy of frequency channels allows reducing the time of operational scanning of the spectrum.

Big Data-Based Spectrum Sensing for Cognitive Radio Networks Using Artificial Intelligence

2020 ◽  
pp. 146-159 ◽  
Author(s):  
Suriya Murugan ◽  
Sumithra M. G.
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Spectrum Utilization ◽  
Candidate Solution ◽  
Learning Techniques ◽  
Efficient Data

Cognitive radio has emerged as a promising candidate solution to improve spectrum utilization in next generation wireless networks. Spectrum sensing is one of the main challenges encountered by cognitive radio and the application of big data is a powerful way to solve various problems. However, for the increasingly tense spectrum resources, the prediction of cognitive radio based on big data is an inevitable trend. The signal data from various sources is analyzed using the big data cognitive radio framework and efficient data analytics can be performed using different types of machine learning techniques. This chapter analyses the process of spectrum sensing in cognitive radio, the challenges to process spectrum data and need for dynamic machine learning algorithms in decision making process.

An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio

2019 ◽  
Vol 106 (2) ◽  
pp. 307-319
Author(s):  
Mohammad S. Alkady ◽  
Mohammed Abd-Elnaby ◽  
Sami A. El-Dolil ◽  
Fathi E. Abd El-Samie
Keyword(s):  
Cognitive Radio ◽  
Spectrum Utilization ◽  
Adaptive Sensing ◽  
Sensing Time
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