Dr Haris Pervaiz
About
Biography
Haris Pervaiz received his PhD degree in Communication Systems from Lancaster University, UK in Apr. 2016. He received his MPhil degree in Electrical and Electronic engineering from Queen Mary University of London (QMUL), U.K. He received his M.Sc. in Information Security from Royal Holloway University of London, UK. From 2016 to April 2017, he was an EPSRC Doctoral Prize Fellow at School of Computing and Communications (SCC) in Wireless Communications Research Group, at Lancaster University, UK. Since Apr. 2017, he is Research Fellow at 5G Innovation Centre (5GIC) of University of Surrey, UK working on Huawei funded project "Energy Proportional eNodeB for LTE-Advanced and Beyond" and EPSRC GCRF funded project "DARE: Distributed Autonomous and Resilient Emergency Management System". He has been mentoring several undergraduate and postgraduate students. Dr. Pervaiz has contributed more than 35 leading international technical journal and peer reviewed conference papers. He has been a member of the technical program committees of several IEEE flagship conferences and technical reviewer for several IEEE and top notch journals. He has contributed in organising several IEEE conferences, workshop and special sessions.
My qualifications
ResearchResearch interests
My research interests are 5G & Beyond, Green Communication, mmWave Communication, Energy & Backhaul Energy Efficiency and Green HetNets
Research projects
Huawei Funded, Energy Proportional eNodeB for LTE-Advanced and BeyondBase station sleep (active idle) mode is an effective way to mitigate the excessive energy consumption in ultra-dense cellular network. However, current implementation of this feature is slow and unsuitable for frequent and dynamic usage as a function of the traffic load. The base station power consumption is lower in the sleep state compared to the on state, but the hardware remains active. Hence, additional reduction in the power consumption can be achieved by partial deactivation of the base station hardware component. The goals of the research are highlighted as
1) To achieve energy proportionality for eNodeB with minimal power consumption on active idle mode to around 1%~10% of maximum power consumption and with guaranteed quality of service (QoS).
2) To achieve shorter wakeup time from deep sleep mode of base stations
Research collaborations
1) Prof Muhammad Ali Imran, University of Glasgow, UK
2) Dr Leila Musavian, University of Essex, UK
3) Prof. Qiang Ni, Lancaster University, UK
4) Prof. Zhiguo Ding, Lancaster University, UK
5) Prof. Xiaohu Ge, Huazhong University of Science & Technology (HUST), Wuhan, China P.R.
5) Dr Shahid Mumtaz, Instituto de Telecomunicações, Aveiro, Portugal
6) Dr Syed Ali Hassan, SEECS, NUST, Pakistan
7) Dr. Nalin D. K. Jayakody, National Research Tomsk Polytechnic University, Russia
Research interests
My research interests are 5G & Beyond, Green Communication, mmWave Communication, Energy & Backhaul Energy Efficiency and Green HetNets
Research projects
Base station sleep (active idle) mode is an effective way to mitigate the excessive energy consumption in ultra-dense cellular network. However, current implementation of this feature is slow and unsuitable for frequent and dynamic usage as a function of the traffic load. The base station power consumption is lower in the sleep state compared to the on state, but the hardware remains active. Hence, additional reduction in the power consumption can be achieved by partial deactivation of the base station hardware component. The goals of the research are highlighted as
1) To achieve energy proportionality for eNodeB with minimal power consumption on active idle mode to around 1%~10% of maximum power consumption and with guaranteed quality of service (QoS).
2) To achieve shorter wakeup time from deep sleep mode of base stations
Research collaborations
1) Prof Muhammad Ali Imran, University of Glasgow, UK
2) Dr Leila Musavian, University of Essex, UK
3) Prof. Qiang Ni, Lancaster University, UK
4) Prof. Zhiguo Ding, Lancaster University, UK
5) Prof. Xiaohu Ge, Huazhong University of Science & Technology (HUST), Wuhan, China P.R.
5) Dr Shahid Mumtaz, Instituto de Telecomunicações, Aveiro, Portugal
6) Dr Syed Ali Hassan, SEECS, NUST, Pakistan
7) Dr. Nalin D. K. Jayakody, National Research Tomsk Polytechnic University, Russia