DocumentCode
255384
Title
Performance analysis of cognitive WiMAX network for various MCS
Author
Kundu, A. ; Misra, I.S. ; Sanyal, S.K.
Author_Institution
Dept. of Comput. Sci. & Eng., Heritage Inst. of Technol., Kolkata, India
fYear
2014
fDate
11-13 Dec. 2014
Firstpage
1
Lastpage
5
Abstract
Cognitive Radio has become a popular topic of research in recent years. It allocates the under-utilized spectrum dynamically to a group of Secondary Users (SU) which, in turn, enhances the Spectral Utilization considerably. Secondary or Cognitive Users identify suitable idle channels for transmission and utilize it opportunistically, until the Primary User reappears. However, channel conditions in wireless networks are time-dependent and vary with time. Hence, for any wireless network, a suitable Modulation and Coding Scheme (MCS) must be adopted (depending upon the channel conditions) for smooth data transmission. The present work analyzes the performance of a QoS aware Cognitive WiMAX network for various MCSs in order to maximize the spectral efficiency of a system. The focus of the present work is to analyze the spectral efficiency of the system under various MCSs. The effectiveness of the system has been observed based on the spectral efficiency for various MCSs by exhaustive simulation. The results show that maximum spectral efficiency has been observed for 64 QAM-5/6.
Keywords
WiMax; cognitive radio; computer network performance evaluation; data communication; modulation coding; network coding; quality of service; 64 QAM-5/6; MCS; QoS aware cognitive WiMAX network; SU; cognitive WiMAX network performance analysis; cognitive radio; cognitive users; modulation and coding scheme; primary user; secondary users; smooth data transmission; spectral efficiency; spectral utilization; wireless networks; Bandwidth; Channel allocation; Cognitive radio; Phase shift keying; Quadrature amplitude modulation; WiMAX; Cognitive WiMAX; Femto Cell; MCS; Spectral Efficiency;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2014 Annual IEEE
Conference_Location
Pune
Print_ISBN
978-1-4799-5362-2
Type
conf
DOI
10.1109/INDICON.2014.7030443
Filename
7030443
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