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Details of Grant 

EPSRC Reference: EP/P019374/1
Title: Modelling, Analysis, and Design of Ultra-Dense Cellular Networks
Principal Investigator: Duong, Professor T
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Keysight Technologies (International)
Department: Sch of Electronics, Elec Eng & Comp Sci
Organisation: Queen's University of Belfast
Scheme: First Grant - Revised 2009
Starts: 01 June 2017 Ends: 31 August 2018 Value (£): 96,857
EPSRC Research Topic Classifications:
RF & Microwave Technology
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:
Panel DatePanel NameOutcome
12 Jan 2017 EPSRC ICT Prioritisation Panel Jan 2017 Announced
Summary on Grant Application Form
Wireless communications technology enables us to seamlessly access many multimedia services, e.g., stored multimedia (e.g., video on-demand), live streaming (e.g., Internet live sport networks, Internet radio stations), and realtime interactive streaming (e.g., online games, video conference, e-education), etc. As such, wireless communications technology has rapidly gained a crucial role and become an important aspect of life.

There is a strong, credible body of evidence, suggesting that mobile network operators are facing many formidable tasks but exciting areas of endeavour. Of most concern is the increase in ever-growing wireless/mobile devices and the huge demand in data rates associated with this. It is predicted that the number of mobile-connected devices will exceed 11.5 billion by 2019 (nearly 1.5 mobile devices per capita), which poses a huge traffic demand for ubiquitous communications. On the one hand, it is anticipated that we will witness an up to 10000- fold growth in wireless data traffic by the year 2030, and that of the UK alone is projected to increase between 23-fold and 297-fold over the period 2012-2030.

The future 5G cellular network is expected to achieve as much as 1000 times data rate relative to its current 4G counterpart. On the one hand, as many as 50 billion devices will be connected to the Internet by 2020 request seamless connectivity and mobility. Data rates are projected to increase by a factor of ten every five years, and with the emerging Internet of Things (IoT) predicted to wirelessly connect trillions of devices across the globe, without novel approaches, future mobile networks (5G) will grind to a halt unless more capacity is created.

One of the most attractive solutions is the implementation of ultra-dense networks constituted by the combination of macro-cells and small-cells and exploited the emerging technologies of millimetre wave (mm-wave) frequency bands, large-scale antennas arrays. But while these enabling technologies constitute one of the most attractive approaches, i.e., ultra-dense cellular networks, to improving the capacity and coverage of wireless systems, the "ultra-dense" aspect poses fundamental challenges, which urgently require solutions.

Most importantly, the tool of system-level performance evaluation and optimization is very essential for telecommunication service providers. However, it is usually conducted by relying on numerical simulations, which are often time-consuming and even extremely difficult in the context of 5G ultra-dense networks. At present, no sound but essential mathematical methodologies towards the design of practical communication protocols and transmission techniques for ultra-dense heterogeneous cellular networks are available.

Motivated by this lack of tractable solution, this research project proposes a mathematical model to take into account the practical aspects of 5G ultra-dense networks, i.e., highly dense distribution, dynamic random topologies, and heterogeneous interference. The unique feature of the project is to augment the recent advances in mathematics, random process, and signal processing theory involved by both base stations and mobile devices in ultra-dense cellular networks for recovering the transmitted voice, data, video, etc. This allows us to integrate interference management between large and small cells along with a large number of transmit/receive antennas and higher transmission bandwidth in mm-wave frequency bands. These include the development of new theoretical framework that is informed by the limitations of a practical system not currently considered in the context of "extremely dense networks" of current cellular systems.
Key Findings
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Organisation Website: http://www.qub.ac.uk