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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Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization
TL;DR: This article invoking deep learning (DL) to assist routing in AANETs outperforms existing position-based routing protocols in terms of its E2E delay, path capacity, as well as path lifetime, and it is capable of approaching the Pareto front that is obtained using global link information.
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Is the Low-Complexity Mobile-Relay-Aided FFR-DAS Capable of Outperforming the High-Complexity CoMP?
TL;DR: In this article, the authors evaluate the achievable cell-edge performance on the uplink of multicell systems and show that, assuming the same antenna configuration in both networks, the maximum available cooperative spatial diversity inherent in the MR-FFR-DAS is lower than that in the CoMP-CAS.
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Reduced-RF-Chain Aided Soft-Decision Multi-Set Steered Space-Time Shift-Keying for Millimeter-Wave Communications
TL;DR: Soft-decision-aided multi-set steered space-time shift keying intrinsically amalgamated with channel coding is proposed in order to attain near capacity–performance and uses extrinsic information transfer charts for analyzing systems and evaluating their achievable rates.
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Full length article: Modulation-mode assignment for SVD-aided and BICM-assisted spatial division multiplexing
TL;DR: The results show that not necessarily all MIMO layers have to be activated in order to achieve the best BERs.
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Cooperative Full Duplex Content Sensing and Delivery Improves the Offloading Probability of D2D Caching
TL;DR: The numerical results show that the proposed policy achieves higher offloading probability than that of the existing approaches, even in the face of limited self-interference cancellation capability.