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Robert J. Piechocki

Researcher at University of Bristol

Publications -  281
Citations -  4058

Robert J. Piechocki is an academic researcher from University of Bristol. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 30, co-authored 263 publications receiving 3248 citations. Previous affiliations of Robert J. Piechocki include Toshiba & The Turing Institute.

Papers
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Journal ArticleDOI

Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids

TL;DR: It is found that random undetectable attacks can be accomplished by modifying only a much smaller number of measurements than this value, and this greedy algorithm has almost the same performance as the brute-force method, but without the combinatorial complexity.
Journal ArticleDOI

Expanding window fountain codes for unequal error protection

TL;DR: A novel approach to provide unequal error protection (UEP) using rateless codes over erasure channels, named Expanding Window Fountain (EWF) codes, is developed and discussed, providing better performance of UEP scheme, which is confirmed both theoretically and experimentally.
Proceedings ArticleDOI

Low Throughput Networks for the IoT: Lessons learned from industrial implementations

TL;DR: This paper examines the wireless technologies of LoRaWan, Sigfox and OnRamp Wireless, the emerging leaders in IoT smart metering applications to gain insights from their innovations and approaches to solving problems that are common in IoT technologies, and more specifically, security, energy management and resource constrains.
Journal ArticleDOI

Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication

TL;DR: This paper model a highway communication network and characterize its fundamental link budget metrics, and derives approximations for the signal-to-interference-plus-noise Ratio (SINR) outage probability, as well as the probability that a user achieves a target communication rate (rate coverage probability).
Journal ArticleDOI

Exploiting WiFi Channel State Information for Residential Healthcare Informatics

TL;DR: In this paper, the authors describe the healthcare application of Doppler shifts in the WiFi CSI caused by human activities that take place in the signal coverage area, which is shown to recognize different types of human activities and behavior and is very suitable for applications in healthcare.