activity
20142025
most citedThroughput of a Cognitive Radio Network under Congestion Constraints: A Network-Level Study

11 citations · 25 across the 30 of their papers we have counts for

collaborators
Showing 2023Show all

12 papers · 1 filter

cs.IT2023

Version Age-Optimal Cached Status Updates in a Gossiping Network with Energy Harvesting Sensor

Erfan Delfani, Nikolaos Pappas

In this work, we consider a real-time IoT monitoring system in which an energy harvesting sensor with a finite-size battery measures a physical process and transmits the status upd…

cs.NI2023

Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors

Chao Xu, Xinyan Zhang, Howard H. Yang +4

Many real-time applications of the Internet of Things (IoT) need to deal with correlated information generated by multiple sensors. The design of efficient status update strategies…

eess.SY2023

Analysis of Age of Information in Non-terrestrial Networks

Yanwu Lu, Howard Yang, Nikolaos Pappas +3

Non-terrestrial networks (NTN), particularly low Earth orbit (LEO) satellite networks, have emerged as a promising solution to overcome the limitations of traditional terrestrial n…

cs.IT2023

State-aware Real-time Tracking and Remote Reconstruction of a Markov Source

Mehrdad Salimnejad, Marios Kountouris, Nikolaos Pappas

The problem of real-time remote tracking and reconstruction of a two-state Markov process is considered here. A transmitter sends samples from an observed information source to a r…

cs.NI2023

Age of Information in Locally Adaptive Frame Slotted ALOHA

Zhiling Yue, Howard H. Yang, Meng Zhang +1

We consider a random access network consisting of source-destination pairs. Each source node generates status updates and transmits this information to its intended destination ove…

cs.AI2023

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing

Shufan Wang, Sebastien Jean, Sailik Sengupta +3

In executable task-oriented semantic parsing, the system aims to translate users' utterances in natural language to machine-interpretable programs (API calls) that can be executed…