activity
20102026
most citedBargaining-based Mobile Data Offloading

143 citations · 673 across the 51 of their papers we have counts for

collaborators

54 papers

cs.GT2026

Restoring Incentive Compatibility in Two-Stage Energy Markets with Prosumers

Nikolas Koumpis, Koushik Kar, Leandros Tassiulas +1

A central challenge in modern energy market design is the formulation of a strategy-proof imbalance settlement layer that secures both the economic efficiency of the institution an…

cs.NI2023★ 1 cited

Age Optimum Sampling in Non-Stationary Environment

Jinheng Zhang, Haoyue Tang, Jintao Wang +2

In this work, we consider a status update system with a sensor and a receiver. The status update information is sampled by the sensor and then forwarded to the receiver through a c…

cs.IT2023

Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics

Yuchao Chen, Haoyue Tang, Jintao Wang +2

In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process through a channel for remote estimation. The goal is to minimize the mean square error (MSE) at the estimator…

cs.NI2023

On the Optimization and Stability of Sectorized Wireless Networks

Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas

Future wireless networks need to support the increasing demands for high data rates and improved coverage. One promising solution is sectorization, where an infrastructure node is…

cs.NI2023

Full Exploitation of Limited Memory in Quantum Entanglement Switching

Panagiotis Promponas, Víctor Valls, Leandros Tassiulas

We study the problem of operating a quantum switch with memory constraints. In particular, the switch has to allocate quantum memories to clients to generate link-level entanglemen…

cs.GT2023

Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation

Bing Luo, Yutong Feng, Shiqiang Wang +2

Incentive mechanism is crucial for federated learning (FL) when rational clients do not have the same interests in the global model as the server. However, due to system heterogene…