Throughput Maximization Based on Joint Channel and Sensing Time Assignment for the Cooperative Cognitive Radio Network

2012 ◽  
Vol E95.B (12) ◽  
pp. 3855-3862
Author(s):  
Qi ZHAO ◽  
Zhijie WU
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Throughput Maximization ◽  
Radio Network ◽  
Joint Channel ◽  
Sensing Time

scholarly journals Joint Channel Assignment and Power Allocation Based on Maximum Concurrent Multicommodity Flow in Cognitive Radio Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Ahmed Salah ◽  
Heba M. Abdel-Atty ◽  
Rawya Y. Rizk
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Multipath Routing ◽  
Multicommodity Flow ◽  
Radio Network ◽  
Communication Paradigm ◽  
Multicommodity Flow Problem ◽  
Promising Solution ◽  
Joint Channel ◽  
Networking Technology

Emerging cognitive radio networking technology potentially provides a promising solution to the spectrum underutilization problem in wireless access. In this paper, a cross-layer routing for secondary multihop is studied in cognitive radio network operating in television white spaces. The framework considers a joint channel, power, and routing assignment under signal to interference noise ratio (SINR) constraints. The problem is formulated as a maximum concurrent multicommodity flow problem. The goal of conducting this research is to develop a new routing protocol for the secondary multihop cognitive radio network. Therefore, the objective of this paper focuses on maximizing a flow rate scaling factor. Moreover, the paper focuses on achieving multipath routing when it is possible under SINR constraints to utilize all possible unused channels efficiently. The numerical results proved the strength of the proposed algorithm in its routing ability under the physical model of SINR, in addition to the ability of using multipath routing if there are available free channels to be used in the cognitive communication paradigm.

scholarly journals A Joint Channel Selection and Routing Protocol for Cognitive Radio Network

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yuting Wang ◽  
Guoqiang Zheng ◽  
Huahong Ma ◽  
Yang Li ◽  
Jishun Li
Keyword(s):  
Cognitive Radio ◽  
Routing Protocol ◽  
Cognitive Radio Network ◽  
Great Influence ◽  
Channel Selection ◽  
Packet Transmission ◽  
Data Delivery ◽  
Radio Network ◽  
Channel Switching ◽  
Joint Channel

In cognitive radio network, the activities of primary users will cause great influence on the stability of multiple hops routes between cognitive users. In this regard, a joint channel selection and routing protocol, termed as CSRP, is proposed to ensure route stability and reduce route latency between cognitive users. The channel availability based on historical information and the channel switching delay are used as the channel selection criteria to choose the end-to-end shortest route which possesses high data delivery probabilities and low delays. Besides, simulation results show that the proposed protocol has a better performance in terms of packet transmission delay and data delivery rate compared with the routing protocols based on delay (TDRP) and based on joint routing and channel allocation (PUB-JRCA).

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

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