Study on Calculation Method of Spectrum Occupancy Threshold Based on Cognitive Radio Access

2014 ◽  
Author(s):  
Sheng-Ming Qu ◽  
Qing-Lin Shi ◽  
Xuan Liu
Keyword(s):  
Cognitive Radio ◽  
Calculation Method ◽  
Spectrum Occupancy ◽  
Radio Access

scholarly journals Smart Energy Consumption of IoT With Millimeter-Wave Cognitive Radiofor 5G Cellular Network

2021 ◽  
Author(s):  
Dan Ye
Keyword(s):  
Energy Consumption ◽  
Cognitive Radio ◽  
Energy Saving ◽  
Millimeter Wave ◽  
Resource Sharing ◽  
Network Capacity ◽  
Visible Light Communications ◽  
Radio Access ◽  
Data Rates ◽  
Iot Devices

Abstract Millimeter-wave technology is rising as a crucial component for 5G radio access and other emerging ancillary wireless networks including Gb/s device-to-device communication and mobile backhaul. This paper envisions that millimeter-wave cognitive radio in 5G network is a proposed smart energy consumption solution of Internet of Things (IoT) devices. Improving resource efficiency and enhancing data rates, resource sharing is a proposed advantage over millimeter wave cognitive radio in 5G IoT network. IoT Fog collaboration is proposed to apply artificial intelligence techniques to offer important energy-saving services allowing integrated systems to perceive, reason, learn, and act intelligently in intelligent gateway control. Smart energy meters are the current energy-saving utility in the flexible deployment of IoT architecture. NarrowBand IoT (NB-IoT) delivers Low Power Wide Area access (LPWA) to a new generation of connected things in the race to 5G IoT network, reducing energy computation and achieving promising network capacity. The renewable energy strategy is a proposed energy-efficiency solution in IoT network, maximizing the power supply while minimizing power consumption. A novel kind of visible light communications (VLC) is proposed to enable mmWave cognitive radio receiver in 5G IoT network. Simulation results show the proposed solution can reap the benefits of higher data rates, more IoT device connectivity, and lower energy consumption.

scholarly journals Spectrum Occupancy Information in Support of Adaptive Spectrum Sensing for Cognitive Radio

2014 ◽  
Vol 6 (1) ◽  
pp. 76 ◽  
Author(s):  
Kishor Puna Patil ◽  
Snehal Barge ◽  
Knud Erik Skouby ◽  
Ramjee Prasad
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Occupancy
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