Throughput Maximization Problem in a Cognitive Radio Network

2011 ◽  
pp. 332-336 ◽  
Author(s):  
Subhasree Bhattacharjee ◽  
Amit Konar ◽  
Suman Bhattacharjee
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Throughput Maximization ◽  
Maximization Problem ◽  
Radio Network

scholarly journals Throughput Maximization by Optimizing Secondary Users in a Cooperative Cognitive Radio Network using Hard Fusion Rules

2020 ◽  
Vol 9 (7) ◽  
pp. 801-804
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Cooperative Spectrum Sensing ◽  
Primary User ◽  
Spectrum Efficiency ◽  
Throughput Maximization ◽  
Radio Network ◽  
Secondary Users ◽  
Fusion Rules ◽  
Channel Throughput

Cognitive radio network is a promising technology for enabling secondary users to utilize the licensed spectrum of the primary user without causing interference. The data trans- mitted by the secondary users through primary channel without affecting the primary user is known as channel throughput. In cooperative spectrum sensing(CSS) as the number of secondary users increases the channel throughput increases which in turn reduces the spectrum efficiency due to more spectrum wastage. Therefore in this paper, channel throughput is maximized by optimizing secondary users proposed and throughput for variable secondary users for OR and AND fusion rules is investigated. The optimal secondary users is estimated mathematically and simulation results shows the variation of throughput for variable number of secondaryusers

scholarly journals Sensor Clustering and Sensing Technology for Optimal Throughput of Sensor-Aided Cognitive Radio Networks Supporting Multiple Licensed Channels

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Thanh-Tung Nguyen ◽  
Insoo Koo
Keyword(s):  
Cognitive Radio ◽  
Branch And Bound ◽  
Cognitive Radio Networks ◽  
Cognitive Radio Network ◽  
Radio Networks ◽  
Branch And Bound Algorithm ◽  
Mixed Integer ◽  
Maximization Problem ◽  
Radio Network ◽  
Sensor Clustering

In cognitive radio networks, secondary users may not sense licensed channels efficiently due to problems of fading channel, shadowing, unfamiliar environment, and so forth. To cope with the limitation, a pervasive sensor network can cooperate with cognitive radio network, which is called sensor-aided cognitive radio network. In the paper, we investigate sensor clustering and sensing time of each sensor cluster with aiming at achieving optimal throughput of sensor-aided cognitive radio network supporting multiple licensed channels. Moreover, the minimum throughput requirement of cognitive radio user is also guaranteed in the sensor clustering problem. To do this, we formulate the throughput maximization problem as a mixed-integer nonlinear programming and utilize the Branch and Bound algorithm to solve it. We also propose an heuristic algorithm which can provide similar performance to that of the Branch and Bound algorithm while reducing computation complexity significantly.

scholarly journals Resource Allocation for Throughput Maximization in Cognitive Radio Network with NOMA

2022 ◽  
Vol 70 (1) ◽  
pp. 195-212
Author(s):  
Xiaoli He ◽  
Yu Song ◽  
Yu Xue ◽  
Muhammad Owais ◽  
Weijian Yang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Throughput Maximization ◽  
Radio Network
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