7 papers
Optimum Peer-Turbo: A Scalable and Efficient Solution for P2P Broadcasting
Muriel Médard, Kishori Konwar, Moritz Grundei +1
Blockchain systems such as Solana or Monad employ tree- or star-shaped broadcast topologies in which a single source node disseminates message shards to a set of target peers withi…
Pricing Innovation Under Latency Constraints: A Mean-Field Analysis of Coded Payload Delivery
Muriel Médard, Tarun Chitra, Moritz Grundei +1
We study pricing mechanisms for low-latency payload delivery in settings where participant rewards depend on the time required to reconstruct a payload. In such environments, the d…
OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC
Nicolas Nicolaou, Kishori M. Konwar, Moritz Grundei +3
This paper introduces OPTIMUM-DERAM, a highly consistent, scalable, secure, and decentralized shared memory solution. Traditional distributed shared memory implementations offer mu…
Decoding in the presence of ISI without interleaving -- ORBGRAND-AI
Ken R. Duffy, Moritz Grundei, Jane A. Millward +2
Inter symbol interference (ISI), which occurs in a wide variety of channels, is a result of time dispersion. It can be mitigated by equalization, which results in noise coloring. I…
From Indexing to Coding: A New Paradigm for Data Availability Sampling
Moritz Grundei, Vipindev Adat Vasudevan, Kishori Konwar +1
The data availability problem is a central challenge in blockchain systems and lies at the core of the accessibility and scalability issues faced by platforms such as Ethereum. Mod…
Using channel correlation to improve decoding -- ORBGRAND-AI
Ken R. Duffy, Moritz Grundei, Muriel Medard
To meet the Ultra Reliable Low Latency Communication (URLLC) needs of modern applications, there have been significant advances in the development of short error correction codes a…
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data
Nurettin Turan, Benedikt Fesl, Moritz Grundei +2
In this work, we use real-world data in order to evaluate and validate a machine learning (ML)-based algorithm for physical layer functionalities. Specifically, we apply a recently…