Game Theory for Cognitive Radio Networks

2014 ◽  
pp. 172-187 ◽  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Abilities ◽  
Cognitive Radios ◽  
Primary User ◽  
Spectrum Management ◽  
Cognitive Networks ◽  
Wireless Devices ◽  
New Paradigm ◽  
Secondary Users ◽  
Dynamic Spectrum Management

A cognitive radio is an intelligent radio that can be programmed and configured dynamically. Its transceiver is designed to use the best wireless channels in its vicinity. Such a radio automatically detects available channels in the wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management. In recent years, the development of intelligent, adaptive wireless devices called cognitive radios, together with the introduction of secondary spectrum licensing, has led to a new paradigm in communications: cognitive networks. Cognitive networks are wireless networks that consist of several types of users: often a primary user and secondary users. These cognitive users employ their cognitive abilities to communicate without harming the primary users. The study of cognitive networks is relatively new and many questions are yet to be answered. This chapter furthers the study.

Game Theory for Cognitive Radio Networks

Game Theory ◽  
2017 ◽  
pp. 487-502
Author(s):  
Sungwook Kim
Keyword(s):  
Cognitive Radio ◽  
Cognitive Abilities ◽  
Cognitive Radios ◽  
Primary User ◽  
Spectrum Management ◽  
Cognitive Networks ◽  
Wireless Devices ◽  
New Paradigm ◽  
Secondary Users ◽  
Dynamic Spectrum Management

A cognitive radio is an intelligent radio that can be programmed and configured dynamically. Its transceiver is designed to use the best wireless channels in its vicinity. Such a radio automatically detects available channels in the wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management. In recent years, the development of intelligent, adaptive wireless devices called cognitive radios, together with the introduction of secondary spectrum licensing, has led to a new paradigm in communications: cognitive networks. Cognitive networks are wireless networks that consist of several types of users: often a primary user and secondary users. These cognitive users employ their cognitive abilities to communicate without harming the primary users. The study of cognitive networks is relatively new and many questions are yet to be answered. This chapter furthers the study.

Adaptive Coexistence between Cognitive and Fiber Networks

2011 ◽  
pp. 311-336
Author(s):  
Anwer Al-Dulaimi ◽  
Saba Al-Rubaye ◽  
John Cosmas
Keyword(s):  
Resource Sharing ◽  
Mesh Networks ◽  
Cognitive Radios ◽  
Cognitive Networks ◽  
Base Stations ◽  
New Paradigm ◽  
Zone Structure ◽  
Secondary Users ◽  
Fibre Network ◽  
Radio Over Fibre

Cognitive radios are proposed as secondary users of spectrum to provision for the growth in mobile users and services. However, the dynamic changes in the wireless environment and spectrum availability are blocking the success of online communications for future cognitive mesh networks. As a solution, Cognitive Radio over Fibre (CRoF) subnet is developed through combining selected Base Stations (BSs) with the radio over fibre network. These CRoF-BSs attract the neighborhood cognitive BSs to send data through fibre whenever they are unable to formulate their own wireless links. This leads to the network splitting into many zones of services in which cognitive BSs are controlled by CRoF-BS zones. Therefore, a new paradigm for local resource sharing emerges through these architectural network modifications. In this chapter, the multi-zone structure is analyzed in order to formulate the rules of adaptation between the CRoF zones and the traditional cognitive networks.

Energy Harvesting in Cognitive Networks Using Feasible Channel Selection Assignment

2020 ◽  
Vol 13 (2) ◽  
pp. 173-182
Author(s):  
M. Balasubramanian ◽  
V. Rajamani
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Primary User ◽  
Spectrum Management ◽  
Cognitive Networks ◽  
Secondary User ◽  
Spectrum Efficiency ◽  
Cognitive Radio Systems ◽  
Token Passing ◽  
Radio Systems

Background: The importance of this paper is to achieve maximum spectrum efficiency and proper channel allotment between Primary and Secondary User. The licensed and unlicensed users gets promoted as the channel allotment is properly carried out. To improve energy capability and spectral proficiency consider energy collecting cognitive radio systems to update both energy feasibility and spectral viability. Energy Harvesting Provides possibility of sharing energy in wireless networks which improves the performance of channel capacity. Methods: In this paper an Token Passing algorithm is proposed that switches the channels between Primary User and Secondary User. The energy efficiency decision is taken according to when primary user is idle or not. When the primary user is idle the secondary user cannot harvest any energy and when the primary channel is occupied the secondary channel harvest energy from primary user so that the harvested energy will be used by the secondary user during channel allotment. This proposed algorithm provides energy harvesting and spectrum efficiency. Results: The result shows that the most extraordinary achievable throughput R (eh) of the energy harvesting cognitive radio. The State Transition will move from busy to idle and idle to busy which is represented as S0 and S1. The other parameters are Sensing Energy es, Sampling frequency fs, Primary Signal which accepts a noise SNR γp. As Token Passing Algorithm provides tokens for primary and secondary user it takes lesser time and achieves better throughput than the FDMA and suboptimal algorithm. Conclusion: This paper achieves the maximum spectrum efficiency and energy harvesting by properly allotting spectrum for both primary and secondary user. The primary user and secondary user and spectrum management perform the channel allotment efficiently through the idle and busy state and Token Passing Algorithm does energy harvesting. An efficient scheme is developed for allocating energy in energy harvesting cognitive radio systems.

scholarly journals Improvement of Spectral Efficiency in Home Area Network using Cognitive Radio Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 1129-1131
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Queuing Theory ◽  
Primary User ◽  
Cognitive Networks ◽  
Area Network ◽  
Maximum Throughput ◽  
Multiple Channel ◽  
Faster Development ◽  
Home Region

The faster development of wireless communications has made the spectrum ending up with increasingly with more shortage. The idea of CR was proposed to meet the problem of spectrum effectiveness. In the cognitive networks, the SUs are permitted to detect, distinguish and access the frequency bands that are not at present used by the PU’s. the SU’s must outfit with the spectrum access information to use the primary user’s licence in the home region network. We propose a maximum throughput and power based cognitive radio for home region systems (HAN). At the point when there are different SU’s and numerous channels, spectrum sharing must be taken into account. In this paper we additionally propose a system of multiple channel sensing. We consider the interference to PU brought about by the dynamic access and the erroneous spectrum sensing technique. We investigate the obstruction brought about by the secondary user’s through a reestablishment hypothesis. Under the limitation of interference to primary user, the queuing theory is used to overcome this issue and to obtain the higher data rate of SU’s. finally, it is demonstrated that the cyclostationary detection method can be improved when extra channels are accessible.

scholarly journals Uma proposta para a melhoria da descoberta de vizinhos em Redes Cognitivas

2018 ◽  
Vol 1 (38) ◽  
pp. 69
Author(s):  
Yngrid Keila Silva Cabral ◽  
Joab De Araújo Silva ◽  
Marcelo Portela Sousa
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Computer Network ◽  
Cognitive Radios ◽  
Radio Networks ◽  
Cognitive Networks ◽  
Radio Communication ◽  
Efficient Approach ◽  
Opportunistic Access ◽  
Sensing Model

Several wireless services make use of the spectrum for communication, from space radio communication to a simple wireless computer network. However, the considerable amount of services that make use of spectrum in the last years, has been responsible for its limited availability and inefficiency.. Cognitive networks or cognitive radio networks, are a technology that offer the efficient use of spectrum through opportunistic access to frequency bands. Throughout the cognitive radios scenario, this work will present a variation of the JENNA neighbors discovery algorithm. In addition to that, this research will propose a sensing model for a more efficient approach.

scholarly journals 5G cognitive radio system design with new algorithm asynchronous spectrum sensing

2021 ◽  
Vol 10 (4) ◽  
pp. 2046-2054
Author(s):  
Mohammed Mehdi Saleh ◽  
Ahmed A. Abbas ◽  
Ahmed Hammoodi
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Energy Detection ◽  
Primary User ◽  
Spectrum Access ◽  
Secondary Users ◽  
Radio System ◽  
Wireless Applications ◽  
Fifth Generation ◽  
Time Required

Due to the rapid increase in wireless applications and the number of users, spectrum scarcity, energy consumption and latency issues will emerge, notably in the fifth generation (5G) system. Cognitive radio (CR) has emerged as the primary technology to address these challenges, allowing opportunist spectrum access as well as the ability to analyze, observe, and learn how to respond to environmental 5G conditions. The CR has the ability to sense the spectrum and detect empty bands in order to use underutilized frequency bands without causing unwanted interference with legacy networks. In this paper, we presented a spectrum sensing algorithm based on energy detection that allows secondary user SU to transmit asynchronously with primary user PU without causing harmful interference. This algorithm reduced the sensing time required to scan the whole frequency band by dividing it into n sub-bands that are all scanned at the same time. Also, this algorithm allows cognitive radio networks (CRN) nodes to select their operating band without requiring cooperation with licensed users. According to the BER, secondary users have better performance compared with primary users.

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