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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Journal ArticleDOI
Joint Power Allocation for the Multi-User NOMA-Downlink in a Power-Line-Fed VLC Network
Simeng Feng,Tong Bai,Lajos Hanzo +2 more
TL;DR: A joint PLC-VLC power allocation strategy, where the power allocated both to the PLC and to the VLC links is jointly determined upon analyzing the power relationship between them, and NOMA significantly outperforms orthogonal multiple access with the aid of the proposed JPA.
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Hybrid Automatic-Repeat-reQuest Systems for Cooperative Wireless Communications
Hoang Anh Ngo,Lajos Hanzo +1 more
TL;DR: This paper evaluates the achievable upper-bound performance in the context of perfect Channel State Information CSI and proposes a relay-switching regime based H-ARQ scheme, which is capable of increasing the achievable system throughput as confirmed by both theory and practice.
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Residue number system arithmetic assisted M-ary modulation
Lie-Liang Yang,Lajos Hanzo +1 more
TL;DR: A residue number system based M-ary modem is proposed and its performance is evaluated over Gaussian channels, with good results when one or two redundant moduli are employed.
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A Turbo Detection and Sphere-Packing-Modulation-Aided Space-Time Coding Scheme
TL;DR: It is demonstrated that the performance of STBC-SP systems can be further improved by concatenating SP-aided modulation with channel coding and performing demapping as well as channel decoding iteratively.
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Space-Time Hierarchical-Graph Based Cooperative Localization in Wireless Sensor Networks
TL;DR: The analytical and numerical results provided demonstrate the superiority of the space-time hierarchical-graph based cooperative localization scheme over the benchmarking schemes considered.