In-Band MAC-Layer Sensing for the Cognitive Radio Networks

2013 ◽  
pp. 11-19
Author(s):  
Xiang Gao ◽  
Hyung-Kun Park
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Mac Layer

A MAC-Layer QoS Provisioning Protocol for Cognitive Radio Networks

2011 ◽  
Vol 65 (1) ◽  
pp. 203-222 ◽  
Author(s):  
Kiam Cheng How ◽  
Maode Ma ◽  
Yang Qin
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Qos Provisioning ◽  
Mac Layer

Adaptive Retry Time Based MAC Layer Spectrum Sensing for Cognitive Radio Networks

2014 ◽  
Vol 7 (4) ◽  
pp. 581-590 ◽  
Author(s):  
S. Varalakshm ◽  
S. Shanmugave
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Mac Layer

MAC Layer Spectrum Sensing in Cognitive Radio Networks

2013 ◽  
pp. 210-230
Author(s):  
Mohamed Hamid ◽  
Abbas Mohammed
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Performance Metrics ◽  
Computational Cost ◽  
Radio Spectrum ◽  
Radio Networks ◽  
Superior Performance ◽  
Mac Layer ◽  
Spectrum Utilization ◽  
Network Nodes

Efficient use of the available licensed radio spectrum is becoming increasingly difficult as the demand and usage of the radio spectrum increases. This usage of the spectrum is not uniform within the licensed band but concentrated in certain frequencies of the spectrum while other parts of the spectrum are inefficiently utilized. In cognitive radio environments, the primary users are allocated licensed frequency bands while secondary cognitive users can dynamically allocate the empty frequencies within the licensed frequency band, according to their requested quality of service specifications. In this chapter, the authors investigate and assess the performance of MAC layer sensing schemes in cognitive radio networks. Two performance metrics are used to assess the performance of the sensing schemes: the available spectrum utilization and the idle channel search delay for reactive and proactive sensing schemes. In proactive sensing, the adapted and non-adapted sensing period schemes are also assessed. Simulation results show that proactive sensing with adapted periods provides superior performance at the expense of higher computational cost performed by network nodes.

Opportunity prediction at MAC-layer sensing for ad-hoc cognitive radio networks

2017 ◽  
Vol 82 ◽  
pp. 140-151 ◽  
Author(s):  
Sanjib K. Deka ◽  
Nityananda Sarma
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Ad Hoc ◽  
Radio Networks ◽  
Mac Layer
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