Deniz Gunduz
Imperial College London
596 Papers
2.3K Citations
Deniz Gunduz is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Communication channel. The author has an hindex of 52, co-authored 505 publications. Previous affiliations of Deniz Gunduz include Princeton University & Norwegian University of Science and Technology.
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Papers
Age-of-Information with Information Source Diversity in an Energy Harvesting System
TL;DR: This work considers an energy-harvesting monitoring node equipped with a finite-size battery and collecting status updates from multiple heterogeneous information sources, and investigates the policies that minimize the average AoI, and evaluates the role of information source diversity on the system performance.
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Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka,Deniz Gunduz +1 more
- 04 May 2020
TL;DR: To the best of the knowledge, this is the first practical JSCC scheme that can fully exploit channel output feedback, demonstrating yet another setting in which modern machine learning techniques can enable the design of new and efficient communication methods that surpass the performance of traditional structured coding schemes.
42
Caching and Coded Delivery Over Gaussian Broadcast Channels for Energy Efficiency
TL;DR: In this article, the impact of the equal capacity receiver cache memories on the minimum required transmit power to satisfy all user demands is studied in a cache-aided Gaussian broadcast channel.
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Coded caching in a multi-server system with random topology
Nitish Mital,Deniz Gunduz,Cong Ling +2 more
- 15 Apr 2018
TL;DR: In this paper, a joint storage and proactive caching scheme is proposed, which exploits coded storage across the servers, uncoded cache placement at the users, and coded delivery, and the optimality of the proposed scheme is also proved for successive transmissions for both successive and parallel transmissions from the servers.
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Source-Channel Coding Under Energy, Delay, and Buffer Constraints
TL;DR: In this paper, the authors investigated the problem of minimizing the average squared-error distortion between the source samples and their reconstructions in a battery operated system, where the sensor node observes independent Gaussian source samples with variances changing over time slots.