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I am a Ph.D. Researcher at BITS Pilani working on wireless radio communication

Being passionate about both studying and teaching, I study the energy and spectral efficiency in cognitive radio systems and strive to model mathematical solutions for a much more efficient wireless radio communication.


Energy and Spectral Efficient Cognitive Radio systems to enhance Green Communication.

Society has grown increasingly aware of the need to reduce CO2 emissions in order to mitigate consequential environmental effects. The primary contributors to CO2 emissions are electric power generation, transport, and manufacturing. Information and Communications Technology (ICT) at present contributes a non-negligible 3% of world-wide energy consumption, which in turn causes about 2% of the world-wide CO2 emissions. The dramatic growth in Internet traffics and the growing pervasive use of mobile and wireless technologies to support this are likely to increase CO2 emissions in the future unless greater energy efficiency can be achieved in networking technologies. Thus, the development of wireless networks that require lower energy consumption is desirable. In addition to this key driver of reducing CO2 emissions, the cost of energy has increased substantially and this is a significant proportion of the costs of any wireless access infrastructure company. These issues have resulted in an increased interest in “green radio” networks that reduce the energy requirements for wireless communications, and can thus contribute not only to goals for sustainable development, but also to the profitability of the telecommunication industry. Although green radio can be justified in the context of energy consumption as noted above, it also can be viewed in a wider sense, such as in the optimization of spectrum usage to reduce electromagnetic radiation levels in order to enable coexistence of multiple wireless systems. In addition spectrum resources are scarce and the demand for the radio spectrum has been increasing in recent years. According to the report released by the Federal Communications Commission (FCC), fixed spectrum allocation may not always be efficient and the licensed spectrum may remain unoccupied for a long period of time. This motivates the concept of cognitive radio, which allows the secondary users (SUs) to dynamically access the licensed spectrum allocated to the primary users (PUs) when the licensed spectrum is not being utilized temporarily. Therefore, wireless communication system that incorporates energy efficient cognitive radio technique are expected to provide a new technology that can greatly enhance both spectrum and energy efficiency of wireless communication systems.