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Research project

Cooperative backhaul aided next-generation digital subscriber loops

Staff

Lead researchers

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

Research outputs

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
RIS-aided hybrid massive MIMO systems relying on adaptive-resolution ADCs: robust beamforming design and resource allocation
Yalin Wang, Xihan Chen, Yunlong Cai & Lajos Hanzo, 2021, IEEE Transactions on Vehicular Technology
DOI: 10.1109/TVT.2021.3136676
Type: article
RIS-aided AANETs: Security maximization relying on unsupervised projection-based neural networks
Minh Tiep Hoang, Thien V. Luong, Dong Liu & Lajos Hanzo, 2021, IEEE Transactions on Vehicular Technology
DOI: 10.1109/TVT.2021.3133947
Type: article
Experimental characterization of fault-tolerant circuits in small-scale quantum processors
Rosie Cane, Daryus Chandra, Soon Xin Ng & Lajos Hanzo, 2021, IEEE Access, 9, 162996-163011
DOI: 10.1109/ACCESS.2021.3133483
Type: article