scholarly journals Power Control for Cognitive Radio Networks: A Game Theoretic Approach

2021 ◽  
Author(s):  
Waqas Gulzar ◽  
Abdullah Waqas ◽  
Hammad Dilpazir ◽  
Anwar Khan ◽  
Ashfaq Alam ◽  
...  
Keyword(s):  
Power Control ◽  
Cognitive Radios ◽  
Primary User ◽  
Radio Spectrum ◽  
Theoretic Approach ◽  
Secondary Users ◽  
Communication Industry ◽  
Efficient Access ◽  
Solution Models ◽  
Game Theoretic

AbstractIn communication industry one of the most rapidly growing area is wireless technology and its applications. The efficient access to radio spectrum is a requirement to make this communication feasible for the users that are running multimedia applications and establishing real-time connections on an already overcrowded spectrum. In recent times cognitive radios (CR) are becoming the prime candidates for improved utilization of available spectrum. The unlicensed secondary users share the spectrum with primary licensed user in such manners that the interference at the primary user does not increase from a predefined threshold. In this paper, we propose an algorithm to address the power control problem for CR networks. The proposed solution models the wireless system with a non-cooperative game, in which each player maximize its utility in a competitive environment. The simulation results shows that the proposed algorithm improves the performance of the network in terms of high SINR and low power consumption.

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.

Game Theoretic Cloud-Assisted Opportunistic Spectrum Access in Cognitive Radio Networks

2016 ◽  
Vol 8 (2) ◽  
pp. 94-110
Author(s):  
Danda B. Rawat ◽  
Sachin Shetty
Keyword(s):  
Cognitive Radio ◽  
Wide Band ◽  
Cognitive Networks ◽  
Opportunistic Spectrum Access ◽  
Packet Error Rate ◽  
Theoretic Approach ◽  
Spectrum Access ◽  
Secondary Users ◽  
Computational Capacity ◽  
Game Theoretic

Opportunistic Spectrum Access (OSA) in a Cognitive Radio Network (CRN) is regarded as emerging technology for utilizing the scarce Radio Frequency (RF) spectrum by allowing unlicensed secondary users (SUs) to access licensed spectrum without creating harmful interference to primary users (PUs). The SUs are considerably constrained by their limited power, memory and computational capacity when they have to make decision about spectrum sensing for wide band regime and OSA. The SUs in CRN have the potential to mitigate these constraints by leveraging the vast storage and computational capacity of cloud computing approaches. In this paper, the authors investigate a game theoretic approach for opportunistic spectrum access in cognitive networks. The proposed algorithm leverages the geo-locations of both SUs and spectrum opportunities to facilitate OSA to SUs. The active SUs using game theory adapt their transmit powers in a distributed manner based on the estimated average packet-error rate while satisfying the Quality-of-Service (QoS) in terms of signal-to-interference-noise-ratio (SINR). Furthermore, to control greedy SUs in distributed power control game, the authors introduce a manager/leader through a Stackelberg power adaptation game. The performance of the proposed approaches is investigated using numerical results obtained from simulations.

scholarly journals Performance Analysis of Cognitive Radios in a Cooperative Scheme over Nakagami Fading Channels

2021 ◽  
Vol 1 (3) ◽  
pp. 8-14
Author(s):  
Sk Shariful Alam* ◽  
◽  
Shishir Mallick ◽  
Al-Zadid Sultan Bin Habib ◽  
◽  
...  
Keyword(s):  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radios ◽  
Primary User ◽  
Radio Spectrum ◽  
Nakagami Fading ◽  
Achievable Throughput ◽  
Cr System ◽  
Time Required ◽  
Nakagami Fading Channels

Radio spectrum is a primary requisite for wireless technologies and sensor networks. Due to the high demand and expense of the radio spectrum, it is guaranteed to extend its efficient utilization it. To expand the effective operation and serviceability of the radio spectrum in wireless communications, the notion of Cognitive Radio (CR) is presented in where the licensed spectrum of Primary User (PU) is used opportunistically by unlicensed CR users without interfering with the prioritized PU data transmission. Usually, a CR system is applied to detect empty radio bands by exploiting well-known spectrum sensing schemes and then unused spectrum is opportunistically used by the CR system. Various channels fading of the radio environment are to be considered while introducing different spectrum sensing approaches. In this regard, sensing time to find a vacant radio spectrum should be maintained minimum to reliably get the desired throughput. In this paper, an agreement issue is addressed between the time required for effective spectrum sensing and the achievable throughput of the CR network. Our proposed model illustrates the achievable throughput of CR node in cooperation provides better performance than stand-alone CR node. This is achieved by addressing the variation of the number of nodes under the Nakagami fading distribution. In conclusion, the maximum throughputs of the cooperative CR nodes are guaranteed as per simulation and data analysis.

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