Ka Chun So

Ka Chun So

Prof

Personal profile

Biography

Daniel Ka Chun So is a Professor of Communication Engineering in the Department of Electrical & Electronics Engineering at the University of Manchester, where he joined in 2003 as a Lecturer. He received the PhD degree in Electrical & Electronics Engineering from the Hong Kong University of Science and Technology, Hong Kong in 2003. He obtained the BEng degree in Electrical & Electronics Engineering (First Class Honor) from the University of Auckland, New Zealand in 1996. From 1997 to 1998, he joined the Orion Systems NZ (now Orion Health) as software engineer, and was later promoted to senior software engineer.

His research interests includes green communications, Beyond 5G/6G networks, non-orthogonal multiple access, content centric network, heterogeneous networks, content-centric network, cognitive radio, massive MIMO, D2D communications, cooperative MIMO schemes, multihop communication, channel equalization and estimation techniques.  

Prof So is the Discipline Head of Education of EEE since 2019. He served as the Director of Postgraduate Taught in 2009-19, and the Course Director for MSc in Communication Engineering from 2009-2014.  He is a Chartered Engineer and a member of IET, a Senior Member of IEEE, and a Fellow of Higher Education Academy.

External Professional Activities

Memberships of committees and professional bodies

Qualifications

PhD (HKUST), BEng (Auckland), CEng

Research interests

Prof D K C So has broad research interest in the field of wireless communications.  

Green Communication

  • Energy efficient wireless communications
  • Energy reduction for next generation cellular network
  • Energy efficiency and spectral efficiency tradeoff
  • Resource efficiency optimisation

Beyond 5G/6G Networks

  • Non-orthogonal multiple access (NOMA)
  • Heterogeneous networks and Dense small cell network
  • UAV communication network
  • Wireless caching
  • Machine learning for wireless communication
  • Federated learning and Hierarchical federated learning
  • Cell free massive MIMO
  • Massive MIMO

Opportunities

Current PhD Research Students (as main supervisor)

  • Changxiang Wu, Machine Learning for Internet of Things in NOMA Systems, start 2021 
  • Yijing Ren, Non-Orthogonal Multiple Access for Mobile Edge Computing, start 2021 
  • Dativa Tizikara, Resource Allocation for Cooperative-NOMA D2D Communications for Internet of Things, start 2021

Past Research Students

  • Kevin Shen, PhD (2022) Non-Orthogonal Multiple Access with Wireless Caching, Ofcom
  • Norfauzi Dani, PhD (2021) Non-Orthogonal Multiple Access in Content Centric Network, Lecturer in Universiti Teknologi Brunei
  • Turki Alharbi, PhD (2021) Power Allocation for Full-Duplex Cooperative Non-Orthogonal Multiple Access System, Lecturer in Taif University, Saudi Arabia
  • Yanley Jimenez Licea, PhD (2021) Resource Allocation for Uplink Code  Domain Non-Orthogonal Multiple Access, Siemens UK
  • Fakrulradzi Idris, PhD (2018), Resource Allocation for Energy Efficient Device to Device Communications, Lecturer in Technical University of Malaysia
  • Ziad Al-Abbasi, PhD (2017), Resource Allocation for Non-Orthogonal Multiple Access System, Lecturer in Middle Technical University, Iraq
  • Edwin Mugume, PhD (2016), Green heterogeneous cellular networks, Lecturer in Makerere University, Uganda 
  • Fahimeh Jasbi, PhD (2014), Resource allocation for cognitive radio network, Ettus Research, USA
  • Warit Prawatmuang, PhD (2013), Cooperative spectrum sensing for cognitive radio, Cambridge Touch Technologies, UK
  • Imran Rashid, PhD (2011), Multihop MIMO communications, Assistant Professor in National University of Science and Technology, Pakistan
  • Sarmad Sohaib, PhD (2010), Energy efficient cooperative wireless communications. Associate Professor in University of Jeddah, Pakistan
  • Antonis Phasouliotis, PhD (2010), Multicarrier CDMA systems with MIMO technology, SNC-Lavalin, UK
  • Di Lu, PhD (2009), Antenna selection for MIMO spatial multiplexing system. Nokia Shanghai Bell, China
  • Umar Khalid, MPhil (2009), Resource allocation for multiband SC-FDMA. Assistant Professor in National University of Science and Technology, Pakistan

Prospective students

Currently I do not have any studentship available. Prospective students interested in my field of research, and have their own funding or intend to apply for scholarships are welcomed to contact me. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 17 - Partnerships for the Goals

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Institute for Data Science and AI

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