Research project

UKRI-India Future networks initiative

Research groups:

Next Generation Wireless
Lead researcher:

Professor Lajos Hanzo
Research funder:

EPSRC
Website:

https://gtr.ukri.org/projects?ref=EP%2FW016605%2F1
Status:

Active

Staff

Lead researcher

Professor Lajos Hanzo FREng, FIEEE, FIET, EURASIP Fellow

Professor of Communication

Connect with Lajos

Email: lh@ecs.soton.ac.uk

Collaborating research institutes, centres and groups

Next Generation Wireless

Researching and devloping new methods of wireless technology.

Research outputs

Bayesian learning aided simultaneous row and group sparse channel estimation in orthogonal time frequency space modulated MIMO systems

Suraj Srivastava, Rahul Kumar Singh, Aditya K. Jagannatham & Lajos Hanzo, 2022, IEEE Transactions on Communications, 70(1), 635-648

DOI: 10.1109/TCOMM.2021.3123354

Type: article

Deep learning-aided optical IM/DD OFDM approaches the throughput of RF-OFDM

Thien V Luong, Xiaoyu Zhang, Luping Xiang, Minh Tiep Hoang, Chao Xu, Periklis Petropoulos & Lajos Hanzo, 2022, IEEE Journal on Selected Areas in Communications, 40(1), 212-226

DOI: 10.1109/JSAC.2021.3126080

Type: article

Unsourced massive random access scheme exploiting Reed-Muller sequences

Jue Wang, Zhaoyang Zhang, Xiaoming Chen, Caijun Zhong & Lajos Hanzo, 2021, IEEE Transactions on Communications

DOI: 10.1109/TCOMM.2021.3139606

Type: article

Generalized approximate message passing equalization for multi-carrier faster-than-nyquist signaling

Yunsi Ma, Nan Wu, Andrew Zhang, Bin Li & Lajos Hanzo, 2021, IEEE Transactions on Vehicular Technology

DOI: 10.1109/TVT.2021.3138866

Type: article

Deep learning aided physical-layer security: the security versus reliability trade-off

Minh Tiep Hoang, Dong Liu, Thien Van Luong, Jiankang Zhang & Lajos Hanzo, 2021, IEEE Transactions on Cognitive Communications and Networking

DOI: 10.1109/TCCN.2021.3138392

Type: article