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Details of Grant 

EPSRC Reference: EP/N032268/1
Title: Towards delay, energy And spectrum-efficient Next Generation wireless netwOrks (TangO)
Principal Investigator: musavian, Dr l
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computer Sci and Electronic Engineering
Organisation: University of Essex
Scheme: First Grant - Revised 2009
Starts: 01 December 2016 Ends: 31 March 2018 Value (£): 94,862
EPSRC Research Topic Classifications:
RF & Microwave Technology
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
Panel History:
Panel DatePanel NameOutcome
28 Apr 2016 EPSRC ICT Prioritisation Panel - Apr 2016 Announced
15 Mar 2016 EPSRC ICT Prioritisation Panel - Mar 2016 Deferred
Summary on Grant Application Form
Higher rates, lower latencies, and lower energy consumptions: Future communications systems and most of their applications rely on significant improvement in these three directions which are conflicting in nature. Fast and reliable communication infrastructure is essential for advancements of various industries: from mobile broadband to intelligent automotive cars, from smart cities to smart grids, or from telemedicine to haptic communications. These applications are vital for higher human life quality and rapid economic growth. The prospect of fast future communications will not be possible unless a fine tuning between all of the above three conflicting requirements is achieved, which has proved to be challenging over the past years.

Adaptive radio resource allocation (RRA) techniques that efficiently manage the system resources have shown promising improvements when considering only one or two of these directions. On the other hand, energy harvesting technologies are emerging as a promising solution for reducing energy consumption of the communication devices, while maintaining the system throughput. Despite the challenging nature of improving the system performance in all of the above three directions, because of the recent progress in the adaptive RRA techniques and energy harvesting technologies, it is now the time to tackle this challenge. Coupling the RRA techniques and energy harvesting technologies has a great scope to significantly improve the overall system performance, which is yet to be exploited. This project aims at developing novel cross-layer RRA techniques that benefit from energy harvesting technologies and optimally tune the system parameters to flexibly optimize the trading between rate, delay and energy consumption.

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