Routing Management Algorithm Based on Spectrum Trading and Spectrum Competition in Cognitive Radio Networks

The WiMAX (Worldwide Interoperability Microwave Access) is important in communication systems. Mobility is also important in WiMax to achieve high speed in data exchange over the medium. During the exchange of data handoff may be occurred.This paper is focused on handoff in WiMAX and MS (Mobile Station). The Handover Management Algorithm is used to avoid handoff in addition to improve the handover interruption time and to decrease the signaling transaction during the handover procedure we used Global Position System (GPS) to perform handoff faster. GPS has been introduced in this paper to find the position of the MS and BS then the MS will automatically choose BS by routing. We developed a new algorithm to improve the handoff interruption by introducing Time Division Multiple Access (TDMA).The MS finds its position using GPS and find the distance to the SBS (Source Base Station) and nearby BSs. In the next step,MS selects the target BS based on distance. Moreover we combine Handover Management Algorithm (HMA) with Cognitive radio networks (CRNs) for which are the way out for the trouble of underutilizing the license spectrum for which there are more needs in the final pair of decades. The congestion of the wireless spectrum has triggered a stringent contest for panic network resources.

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Economic-Robust Session Based Spectrum Trading in Multi-Hop Cognitive Radio Networks

2015 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2014.7417546 ◽

2014 ◽

Author(s):

Xuanheng Li ◽

Miao Pan ◽

Yang Song ◽

Yi Sun ◽

Yuguang Fang

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Spectrum Trading

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Distributed spectrum trading in multiple-seller cognitive radio networks

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC) ◽

10.1109/pimrc.2014.7136352 ◽

2014 ◽

Cited By ~ 2

Author(s):

Li-Chuan Tseng ◽

Feng-Tsun Chien ◽

Ronald Y. Chang ◽

Wei-Ho Chung

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Spectrum Trading

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Dynamic Interference Optimization in Cognitive Radio Networks for Rural and Suburban Areas

Wireless Communications and Mobile Computing ◽

10.1155/2020/2850528 ◽

2020 ◽

Vol 2020 ◽

pp. 1-16

Author(s):

Rodney Martinez Alonso ◽

David Plets ◽

Margot Deruyck ◽

Luc Martens ◽

Glauco Guillen Nieto ◽

...

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Experimental Models ◽

Base Stations ◽

Traffic Load ◽

Tv White Space ◽

Suburban Areas ◽

Management Algorithm ◽

The Impact

In this paper, we investigate the coexistence of cognitive radio networks on TV white spaces for rural and suburban connectivity. Although experimental models and laboratory measurements defined the maximum interference threshold for TV white space technologies for general use cases, our research found that in real wireless rural and suburban scenarios, severe interference to the broadcasting services might occur. This is particularly relevant when the traffic load of the telecom base stations (BSs) exceeds 80% of their maximum capacity. We propose a dynamic management algorithm for minimizing the interference, based on a centralized access control architecture for cognitive radio wireless networks. In an experimental emulation for assessing the impact of cognitive radio interference on the broadcasting service’s QoE, our method reduced the perceived video distortion by the broadcasting users by at least 50% and 27.5% in a rural and suburban scenario, respectively, while the spectrum usage is increased by just 8%.

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