H. Vincent Poor

Professor · Kumamoto University

Nanyang Technological University

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h-index181
Publications3,759
Last 5y1154
English accessEnglish-language information not found on lab site

Research summary

Information- and communication-theoretic contributions span finite-blocklength capacity, multiuser detection, ultra-wideband localisation, non-orthogonal multiple access (NOMA), federated learning with differential privacy, and 6G surveys. A foundational paper derives new achievability and converse bounds on the maximal channel-coding rate achievable at a given finite blocklength and error probability for general classes of channels, showing that the rates can be approximated by C - sqrt(V/n) Q^-1(epsilon) and that the bounds are tight even for blocklengths as short as 100 — substantially tightening prior asymptotic predictions [1]. An iterative "turbo" multiuser receiver for convolutionally coded asynchronous multipath DS-CDMA performs successive soft-input soft-output multiuser detection and per-user channel decoding, with extrinsic information exchanged across iterations to jointly suppress multiple-access and intersymbol interference [5]. A survey of UWB-based localisation covers theoretical time-of-arrival estimation limits, suboptimal but practical alternatives, and the performance of hybrid TOA/SS and TDOA/SS schemes for emerging sensor networks [3]. NOMA work characterises the impact of user pairing on F-NOMA and CR-NOMA downlink performance, showing analytically and numerically that F-NOMA's sum-rate advantage over conventional orthogonal multiple access grows when paired users have more divergent channel conditions [8]; a companion paper surveys NOMA integration with MIMO and cooperative variants in LTE and 5G standards activities [4]. The federated-learning study introduces "noising before model aggregation" (NbAFL), proving that artificial noise added at clients before aggregation satisfies differential privacy at distinct protection levels and analysing the resulting convergence-performance trade-off [2]. Two 6G surveys frame requirements (global coverage, enhanced spectral/energy efficiency, intelligence and security) and enabling technologies (new waveforms, air-interface and transmission innovations, novel network architectures) for sixth-generation networks, with the more recent survey synthesising international standardisation, white-paper, and testbed activity [6][7]. Together these papers reflect long-running contributions to multiuser information theory and statistical signal processing applied across multiple wireless generations.

Recent publications

  1. Channel Coding Rate in the Finite Blocklength Regime2010 · IEEE Transactions on Information Theory · 3822 citationsDOI
  2. An Introduction to Signal Detection and Estimation1988 · Springer texts in electrical engineering · 3202 citationsDOI
  3. An Introduction to Signal Detection and Estimation1994 · Springer texts in electrical engineering · 2643 citationsDOI
  4. Federated Learning With Differential Privacy: Algorithms and Performance Analysis2020 · IEEE Transactions on Information Forensics and Security · 2154 citationsDOI
  5. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks2005 · IEEE Signal Processing Magazine · 2055 citationsDOI
  6. Application of Non-Orthogonal Multiple Access in LTE and 5G Networks2017 · IEEE Communications Magazine · 2015 citationsDOI
  7. Iterative (turbo) soft interference cancellation and decoding for coded CDMA1999 · IEEE Transactions on Communications · 1941 citationsDOI
  8. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts2020 · Science China Information Sciences · 1911 citationsDOI
  9. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds2023 · IEEE Communications Surveys & Tutorials · 1878 citationsDOI
  10. Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions2015 · IEEE Transactions on Vehicular Technology · 1617 citationsDOI

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Email H. Vincent Poor 6-12 months before your application deadline. Read several recent papers and reference specific work in your message. Use our how to email a Japanese professor guide for the proven email structure.

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External profiles

Profile compiled from public sources (Researchmap, OpenAlex, Kumamoto University faculty directory). Last refreshed 2026-05. Report incorrect information.

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