Wireless cognitive network technologies and protocols

Loscrì, Valeria; Maskooki, Arash; Mitton, Nathalie; Vegni, Anna Maria

doi:10.1016/b978-0-12-800887-4.00005-5

Cited by 4 publications

(2 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…and p i represents the transmission powers of PU and i-th CU, respectively. Moreover, the background noise is additive white Gaussian noise with zero mean and variance 2 .…”

Section: System Modelmentioning

confidence: 99%

“…[1]. The percentage utilization of allocated spectrum has been explored in various studies [2,3] and concluded that the assigned spectrum bands are underutilized in most of the cases. In order to increase the usage of available spectrum, cognitive radio networks (CRNs) allow the primary users (PUs) also known as licensed users and secondary users (SUs) also referred to as unlicensed users (or cognitive users) to share the available radio spectrum among themselves [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power Control for Cognitive Radio Networks: A Game Theoretic Approach

Gulzar

Waqas

Dilpazir

et al. 2021

Wireless Pers Commun

View full text Add to dashboard Cite

In 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.

show abstract

“…and p i represents the transmission powers of PU and i-th CU, respectively. Moreover, the background noise is additive white Gaussian noise with zero mean and variance 2 .…”

Section: System Modelmentioning

confidence: 99%