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Personal profile


Dr Faheem Khan is a Senior Lecturer in Electronic Engineering at School of Computing and Engineering, University of Huddersfield. His education includes receiving his PhD degree in Electrical and Electronic Engineering from Queen’s University Belfast, a Master’s degree in Communication and Radar Engineering from the Indian Institute of Technology Delhi, India, and his Bachelor’s degree in Electronics Engineering from Aligarh Muslim University, India.  

Dr Khan has significant previous teaching and research experience at academic institutions in the UK, Middle East and India. Prior to joining at University of Huddersfield, he worked as Research Associate in Wireless Communications and Signal Processing at the Institute for Digital Communications, University of Edinburgh where he contributed to project management and research in two EU FP7 research projects, HARP and ADEL.

Dr Khan is a Member of the IEEE since 2002.

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Faheem Khan

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 5 Similar Profiles
Cognitive radio Engineering & Materials Science
Base stations Engineering & Materials Science
Antennas Engineering & Materials Science
Log periodic antennas Engineering & Materials Science
Throughput Engineering & Materials Science
Radio systems Engineering & Materials Science
Heterogeneous networks Engineering & Materials Science
Quadrature amplitude modulation Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2018

3 Citations (Scopus)

On the Performance of Cooperative Spectrum Sensing in Random Cognitive Radio Networks

He, Y., Xue, J., Ratnarajah, T., Sellathurai, M. & Khan, F., Mar 2018, In : IEEE Systems Journal. 12, 1, p. 881-892 12 p.

Research output: Contribution to journalArticle

Cognitive radio
Signal to noise ratio
2 Citations (Scopus)

Performance Analysis of Correlated Massive MIMO Systems with Spatially Distributed Users

Biswas, S., Xue, J., Khan, F. & Ratnarajah, T., Jun 2018, In : IEEE Systems Journal. 12, 2, p. 1850-1861 12 p.

Research output: Contribution to journalArticle

MIMO systems
Base stations
Electric power utilization
Energy efficiency
3 Citations (Scopus)

Performance analysis of OFDM based 3-hop AF relaying network over mixed Rician/Rayleigh fading channels

Singya, P. K., Kumar, N., Bhatia, V. & Khan, F. A., 1 Sep 2018, In : AEU - International Journal of Electronics and Communications. 93, p. 337-347 11 p.

Research output: Contribution to journalArticle

Open Access
Quadrature amplitude modulation
Rayleigh fading
Fading channels
Orthogonal frequency division multiplexing

Transceiver Design and Power Allocation for Full-Duplex MIMO Communication Systems with Spectrum Sharing Radar

Singh, K., Biswas, S., Ratnarajah, T. & Khan, F., Sep 2018, In : IEEE Transactions on Cognitive Communications and Networking. 4, 3, p. 556-566 11 p.

Research output: Contribution to journalArticle

Open Access
Base stations
Communication systems
Cellular radio systems
1 Citation (Scopus)

Interference Alignment in Two-Tier Randomly Distributed Heterogeneous Wireless Networks Using Stochastic Geometry Approach

Luo, Y., Ratnarajah, T., Xue, J. & Khan, F., 10 Feb 2017, In : IEEE Systems Journal. 12, 3, 12 p.

Research output: Contribution to journalArticle

Open Access
Heterogeneous networks
Wireless networks

Activities 2017 2017

  • 1 Oral presentation

Transmit Antenna Selection for Massive MIMO Systems

Qasim Ahmed (Speaker), Pavlos Lazaridis (Speaker), Faheem Khan (Speaker), Ian Glover (Speaker), Ryan Husbands (Speaker)
24 Aug 2017

Activity: Talk or presentation typesOral presentation