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

11 citations · 27 across the 34 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

cs.IT20241 cited

So Timely, Yet So Stale: The Impact of Clock Drift in Real-Time Systems

Mehrdad Salimnejad, Nikolaos Pappas, Marios Kountouris

In this paper, we address the problem of timely delivery of status update packets in a real-time communication system, where a transmitter sends status updates generated by a sourc…

cs.IT2024

Analysis of Age of Information for A Discrete-Time hybrid Dual-Queue System

Zhengchuan Chen, Yi Qu, Nikolaos Pappas +3

Using multiple sensors to update the status process of interest is promising in improving the information freshness. The unordered arrival of status updates at the monitor end pose…

eess.SP2024

Coexistence of Real-Time Source Reconstruction and Broadband Services Over Wireless Networks

Anup Mishra, Nikolaos Pappas, Čedomir Stefanović +5

Achieving a flexible and efficient sharing of wireless resources among a wide range of novel applications and services is one of the major goals of the sixth-generation of mobile s…

cs.IT2024

Age of Information Versions: a Semantic View of Markov Source Monitoring

Mehrdad Salimnejad, Marios Kountouris, Anthony Ephremides +1

We consider the problem of real-time remote monitoring of a two-state Markov process, where a sensor observes the state of the source and makes a decision on whether to transmit th…

cs.IT2024

Optimizing Information Freshness in IoT Systems with Update Rate Constraints: A Token-Based Approach

Erfan Delfani, Nikolaos Pappas

In Internet of Things (IoT) status update systems, where information is sampled and subsequently transmitted from a source to a destination node, the imperative necessity lies in m…

cs.LG2024

Adaptive Federated Learning Over the Air

Chenhao Wang, Zihan Chen, Nikolaos Pappas +3

We propose a federated version of adaptive gradient methods, particularly AdaGrad and Adam, within the framework of over-the-air model training. This approach capitalizes on the in…