The University of Southampton

Next Generation Wireless is a research group in the Department of Electronics and Computer Science (ECS) at the University of Southampton. The group researches into the next generation of wireless communications systems and their components.

  • 22 October 2020

    Supercharged wireless spinout raises...

    University of Southampton spinout AccelerComm has secured £5.8m in funding to supercharge 5G, satellite and other wireless communications with cutting-edge techniques for digital signal processing.

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  • 21 December 2018

    Electronics engineer listed in the global top...

    Wireless communications expert Professor Lajos Hanzo featured in Clarivate Analytics’ Highly Cited Researchers of 2018

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  • 13 April 2018

    Southampton scientists win prestigious European...

    Researchers from the University of Southampton have won European Research Council (ERC) Advanced Grants totalling more than €12 million.

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  • More publications

    Recent Next Generation Wireless Publications

    1-μm Periodical grating structure on stainless steel designed by high-power nanosecond pulsed fiber lasers - Shaoxiang Chen, Seongwoo Yoo, Perry Ping Shum, Xiaohui Li, Meng Liu, Yukun Ma and Qi Jie Wang
    Type: Conference or Workshop Item | 2015 | Item not available on this server.
    Mesh networking for intermittently-powered devices: Architecture and challenges - Edward Longman, Mohammed El-Hajjar, Oktay Cetinkaya and Geoff Merrett
    Type: Article | 2022
    Deep learning aided packet routing in aeronautical ad-hoc networks relying on real flight data: From single-objective to near-pareto multi-objective optimization - Dong Liu, Jiankang Zhang, Jingjing Cui, Soon Xin Ng, Robert Maunder and Lajos Hanzo
    Type: Article | 2021
    Resource allocation in millimeter-wave multicarrier-division duplex systems with hybrid beamforming - Bohan Li, Lie-Liang Yang, Robert Maunder and SongLin Sun
    Type: Article | 2021
    Datasets for Performance of Cognitive Stop-and-Wait Hybrid Automatic Repeat reQuest in the Face of Imperfect Sensing
    Type: Dataset | 2016 | University of Southampton