L
Lajos Hanzo
Researcher at University of Southampton
Publications - 2188
Citations - 69620
Lajos Hanzo is an academic researcher from University of Southampton. The author has contributed to research in topics: Bit error rate & MIMO. The author has an hindex of 101, co-authored 2040 publications receiving 54380 citations. Previous affiliations of Lajos Hanzo include University of New South Wales & Beihang University.
Papers
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Near-Capacity Multi-Functional MIMO Systems: Sphere-Packing, Iterative Detection and Cooperation
TL;DR: TheWireless Channel and the Concept of Diversity, a Coherent Versus Differential Turbo Detection of Sphere-packing-aided Single-user MIMO Systems, and a Universal Approach to Space-Time Block Codes: A Universal Approach are reviewed.
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Cooperative Load Balancing in Hybrid Visible Light Communications and WiFi
Xuan Li,Rong Zhang,Lajos Hanzo +2 more
TL;DR: Simulation results demonstrate that, the VLC system advocated is capable of providing a high Area Spectral Efficiency (ASE) and the hybrid RF/VLC system achieves the highest throughput and the highest grade of fairness in most of the scenarios considered.
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Single-Carrier SM-MIMO: A Promising Design for Broadband Large-Scale Antenna Systems
Ping Yang,Yue Xiao,Yong Liang Guan,K. V. S. Hari,Ananthanarayanan Chockalingam,Shinya Sugiura,Harald Haas,Marco Di Renzo,Christos Masouros,Zilong Liu,Lixia Xiao,Shaoqian Li,Lajos Hanzo +12 more
TL;DR: A comprehensive overview of the latest research achievements of SC-SM is presented, which outlines the associated transceiver design, the benefits and potential tradeoffs, the LSA aided multiuser (MU) transmission developments, the relevant open research issues as well as the potential solutions of this appealing transmission technique.
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Compressive Sensing Techniques for Next-Generation Wireless Communications
TL;DR: In this paper, a range of efficient wireless processes and enabling techniques are put under a magnifier glass in the quest for exploring different manifestations of correlated processes, where sub-Nyquist sampling may be invoked as an explicit benefit of having a sparse transform-domain representation.