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06/16/2023
Practical Sliding Window Recoder: Design, Analysis, and Usecases
Network coding has been widely used as a technology to ensure efficient ...
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06/08/2023
Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network
We propose to use a liquid time constant (LTC) network to predict the fu...
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05/09/2023
Upgrade error detection to prediction with GRAND
Guessing Random Additive Noise Decoding (GRAND) is a family of hard- and...
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03/13/2023
Using channel correlation to improve decoding – ORBGRAND-AI
To meet the Ultra Reliable Low Latency Communication (URLLC) needs of mo...
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01/24/2023
GRAND-EDGE: A Universal, Jamming-resilient Algorithm with Error-and-Erasure Decoding
Random jammers that overpower transmitted signals are a practical concer...
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12/10/2022
Confident decoding with GRAND
We establish that during the execution of any Guessing Random Additive N...
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12/02/2022
Physical layer insecurity
In the classic wiretap model, Alice wishes to reliably communicate to Bo...
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10/28/2022
GRAND-assisted Optimal Modulation
Optimal modulation (OM) schemes for Gaussian channels with peak and aver...
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10/26/2022
InfoShape: Task-Based Neural Data Shaping via Mutual Information
The use of mutual information as a tool in private data sharing has rema...
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10/08/2022
A General Security Approach for Soft-information Decoding against Smart Bursty Jammers
Malicious attacks such as jamming can cause significant disruption or co...
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08/16/2022
FlEC: Enhancing QUIC with application-tailored reliability mechanisms
Packet losses are common events in today's networks. They usually result...
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08/02/2022
Distributed Computations with Layered Resolution
Modern computationally-heavy applications are often time-sensitive, dema...
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07/25/2022
Soft decoding without soft demapping with ORBGRAND
For spectral efficiency, higher order modulation symbols confer informat...
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07/24/2022
Contention Resolution for Coded Radio Networks
Randomized backoff protocols, such as exponential backoff, are a powerfu...
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07/22/2022
Block turbo decoding with ORBGRAND
Guessing Random Additive Noise Decoding (GRAND) is a family of universal...
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07/22/2022
GRAND for Fading Channels using Pseudo-soft Information
Guessing random additive noise decoding (GRAND) is a universal maximum-l...
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07/22/2022
Soft-input, soft-output joint detection and GRAND
Guessing random additive noise decoding (GRAND) is a maximum likelihood ...
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05/31/2022
Wideband Time Frequency Coding
In the wideband regime, the performance of many of the popular modulatio...
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05/02/2022
Millimeter-Wave in Milliseconds: Sliding Window Network Coding Outperforms Rateless Codes
Ultra-reliability and low-latency are pivotal requirements of the new ge...
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04/27/2022
Stream Iterative Distributed Coded Computing for Learning Applications in Heterogeneous Systems
To improve the utility of learning applications and render machine learn...
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03/25/2022
Quantized Guessing Random Additive Noise Decoding
We introduce a soft-detection variant of Guessing Random Additive Noise ...
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02/07/2022
Broadcast Approach Meets Network Coding for Data Streaming
For data streaming applications, existing solutions are not yet able to ...
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06/04/2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Balancing the needs of data privacy and predictive utility is a central ...
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04/28/2021
CRC Codes as Error Correction Codes
CRC codes have long since been adopted in a vast range of applications. ...
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03/02/2021
Stream Distributed Coded Computing
The emerging large-scale and data-hungry algorithms require the computat...
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02/09/2021
Differential Privacy for Binary Functions via Randomized Graph Colorings
We present a framework for designing differentially private (DP) mechani...
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01/26/2021
A Coding Theory Perspective on Multiplexed Molecular Profiling of Biological Tissues
High-throughput and quantitative experimental technologies are experienc...
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12/15/2020
Neural Network Coding
In this paper we introduce Neural Network Coding(NNC), a data-driven app...
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12/09/2020
Robust Improvement of the Age of Information by Adaptive Packet Coding
We consider a wireless communication network with an adaptive scheme to ...
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11/06/2020
Keep the bursts and ditch the interleavers
To facilitate applications in IoT, 5G, and beyond, there is an engineeri...
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10/12/2020
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests
One of the main challenges in containing the Coronoavirus disease 2019 (...
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10/01/2020
Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications
Modern communications have moved away from point-to-point models to incr...
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09/27/2020
A Distributed Computationally Aware Quantizer Design via Hyper Binning
We design a distributed function aware quantization scheme for distribut...
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09/27/2020
Function Load Balancing over Networks
Using networks as a means of computing can reduce the communication flow...
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09/03/2020
Network Coding-Based Post-Quantum Cryptography
We propose a novel hybrid universal network-coding cryptosystem (HUNCC) ...
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08/28/2020
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information
According to recent empirical studies, a majority of users have the same...
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08/21/2020
Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of 3 2
We study the relationship between randomized low influence functions and...
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06/20/2020
Spatial Concentration of Caching
We propose a decentralized caching policy for wireless networks that mak...
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06/08/2020
Noise Recycling
We introduce Noise Recycling, a method that substantially enhances decod...
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05/20/2020
Capacities and Optimal Input Distributions for Particle-Intensity Channels
This work introduces the particle-intensity channel (PIC) as a model for...
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01/09/2020
Soft Maximum Likelihood Decoding using GRAND
Maximum Likelihood (ML) decoding of forward error correction codes is kn...
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12/07/2019
How to Distribute Computation in Networks
We study the function computation problem in a communications network. T...
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10/29/2019
Adaptive Causal Network Coding with Feedback for Multipath Multi-hop Communications
We propose a novel multipath multi-hop adaptive and causal random linear...
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10/28/2019
Same-Cluster Querying for Overlapping Clusters
Overlapping clusters are common in models of many practical data-segment...
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10/21/2019
Distributed Quantization for Sparse Time Sequences
Analog signals processed in digital hardware are quantized into a discre...
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09/12/2019
Repeat-Free Codes
In this paper we consider the problem of encoding data into repeat-free ...
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09/05/2019
Random Linear Network Coding on Programmable Switches
By extending the traditional store-and-forward mechanism, network coding...
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08/25/2019
Babel Storage: Uncoordinated Content Delivery from Multiple Coded Storage Systems
In future content-centric networks, content is identified independently ...
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07/03/2019
Serial Quantization for Representing Sparse Signals
Sparse signals are encountered in a broad range of applications. In orde...
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07/01/2019