Work place: Delhi Technological University, Delhi, India
E-mail: prof_moin@yahoo.com
Website:
Research Interests: Computer Science & Information Technology, Computational Engineering, Theoretical Computer Science, Engineering
Biography
Prof. Moin Uddin is a senior member, IEEE. Moin Uddin did his B.Sc and M.Sc. Engineering in 1972 and1978 from Aligarh Muslim University, Uttar Pardesh, India. He completed his Ph.D in 1993 from Roorkee University, India.He has more than 30 years of experience in academics and research and is currently serving as ProViceChancellor, Delhi Technological University, Delhi. Prior to this, he was Director of Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He has large number of publications in International and national Journals and fourteen research scholars have completed their Ph.D underhis guidance and five more are pursuing the same. He has designed the computer engineering curriculums of many international and national universities and institutions and is among the expert panel of these universities. Prof. Moin Uddin is a life member ISTE national society and member, board of studies of many institutions.
By Nisar A Lala Moin Uddin N A Sheikhc
DOI: https://doi.org/10.5815/ijwmt.2013.01.01, Pub. Date: 1 Sep. 2013
Cognitive radio (CR) is projected as a technology (or solution) that will raise the spectrum utilization considerably by allowing low-priority or secondary user (SU) to utilize the spectrum of high-priority or primary user (PU) opportunistically. Spectrum handoff is a different type of handoff necessitated by the reappearance of the primary user on the frequency channels occupied by the secondary user at that time and location. In this paper, a hybrid type of spectrum handoff algorithm is proposed where proactive decision and reactive decision approaches are combined. Depending on the arrival rate of primary user (i.e. PU activity), the algorithm switches from reactive decision mode to proactive decision mode and vice versa. The switching from one mode to another mode depends on threshold value of PU activity and we evaluated the threshold value through analysis for switching of the algorithm to be 0.37. Simulated results show that the proposed hybrid spectrum handoff algorithm reduces the total service time of secondary user considerably compared to conventional proactive decision or reactive decision handoff approaches.
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