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Bhuvan Modi
Dr. Bhuvan Modi received PhD. degree from Prairie View A & M University,
Texas A & M University System, in 2012. He earned his M.S. degree in Electrical Engineering from Lamar University, United States of America, M.S. degree in Electronics and Communication Engineering from Dharmsinh Desai University, India, and the B.S. degree in Electronics and Communication Engineering from North Gujarat University, India, in 2009, 2002 and 2001, respectively. He is currently working as a Senior Member of Technical Staff at AT&T Mobility Lab Seattle, WA. Currently Dr. Modi serves as an editorial committee//International editorial board member for journals and organizations, namely the International Journal of Wireless and Mobile Networks (IJWMN), The Standard International Journals (SIJ), the International Journal of Wireless and Mobile Communication for Industrial Systems, Science & Engineering Research Support Society, and First International Workshop on Wireless and Mobile Communication for Industrial Systems (WMCIS 2015) and has also been invited to serve on the international editorial board committee member for the Journal of Advanced Research in Wireless, Mobile & Telecommunication. He received ‘Student
Travel Grant Award’ to present his work at the IEEE MILCOM’11 and achieved excellent work appreciation certificate award from Vice President and CEO, AT&T Mobility Lab for individual contribution towards successfully launch of WiFi Calling Service in the US Market. Over the last few years, Dr. Modi has published over a dozen peer reviewed conference and journal articles. His current research interests include cross-layer design/optimization for adaptive-link cooperative relay networks, 4G/5G Wireless Technologies, Openstack and software-defined radios.
Texas A & M University System, in 2012. He earned his M.S. degree in Electrical Engineering from Lamar University, United States of America, M.S. degree in Electronics and Communication Engineering from Dharmsinh Desai University, India, and the B.S. degree in Electronics and Communication Engineering from North Gujarat University, India, in 2009, 2002 and 2001, respectively. He is currently working as a Senior Member of Technical Staff at AT&T Mobility Lab Seattle, WA. Currently Dr. Modi serves as an editorial committee//International editorial board member for journals and organizations, namely the International Journal of Wireless and Mobile Networks (IJWMN), The Standard International Journals (SIJ), the International Journal of Wireless and Mobile Communication for Industrial Systems, Science & Engineering Research Support Society, and First International Workshop on Wireless and Mobile Communication for Industrial Systems (WMCIS 2015) and has also been invited to serve on the international editorial board committee member for the Journal of Advanced Research in Wireless, Mobile & Telecommunication. He received ‘Student
Travel Grant Award’ to present his work at the IEEE MILCOM’11 and achieved excellent work appreciation certificate award from Vice President and CEO, AT&T Mobility Lab for individual contribution towards successfully launch of WiFi Calling Service in the US Market. Over the last few years, Dr. Modi has published over a dozen peer reviewed conference and journal articles. His current research interests include cross-layer design/optimization for adaptive-link cooperative relay networks, 4G/5G Wireless Technologies, Openstack and software-defined radios.
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research impetus owing to its inherent ability to overcome the practical implementation issue of packing a large number of antenna elements (to exploit the benefit of multipleinput-multiple-output space-time processing techniques) in small sized handheld portable devices and sensor nodes. Link adaptation is yet another powerful strategy for improving the spectral utilization efficiency, wherein the source rate, modulation constellation size, power level and/or the coding rate are “matched” to the prevailing channel conditions based on the acquired
channel-side-information (CSI) on the feedback channel. While there have been extensive prior work on the performance analyses of non-adaptive (fixed-rate and/or fixed-power) cooperative diversity systems and also on the adaptive transmission techniques for non-cooperative wireless networks, the art of adaptive link layer and cross-layer optimization of cooperative wireless networks are still in their infancy.
The objective of this research is to fill these gaps by exploring the efficacies of the emerging cooperative non-regenerative relay networks with source adaptive transmission policies based on cross-layer design principles. Specifically, two novel unified analytical frameworks have been developed (based on either the moment generating function
(MGF) or the cumulative distribution function (CDF) of end-to-end signal-to-noise ratio) vii that allow the system designers to gain insights into how power assignment during different transmission phases, relay node placement, fade distributions and dissimilar fading statistics across the distinct communication links affect the ergodic capacities of
three variations of cooperative amplify-and-forward (CAF) relaying techniques. Moreover, the average bit error rate and outage performance of CAF relay networks that employ both the optimal power allocation strategy among collaborating nodes and the adaptive discrete-rate M-ary quadrature amplitude modulation and/or M-ary phase shift keying over a myriad of fading environments have been examined via the MGF Method. In this dissertation, the effectiveness of a cross-layer design that combines adaptive modulation and coding at the physical layer with an adaptive truncated automatic repeat request protocol at the data link layer for maximizing the throughput of CAF relay networks under a prescribed delay and/or error performance constraints have also been
investigated. These studies are of interest to several emerging IEEE 802 standards such as 802.11s and 802.16j that are considering the use of the cooperative relaying techniques in their multi-hop relay architecture for enhancing the coverage, throughput, and the network availability/life-time.