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20112026
most citedCooperative Wireless Sensor Network Positioning via Implicit Convex Feasibility

41 citations · 121 across the 9 of their papers we have counts for

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cs.IT2026

Type-Based Unsourced Federated Learning With Client Self-Selection

Kaan Okumus, Khac-Hoang Ngo, Unnikrishnan Kunnath Ganesan +3

We address the client-selection problem in federated learning over wireless networks under data heterogeneity. Existing client-selection methods often rely on server-side knowledge…

cs.IT2022★ 14 cited

Efficient evaluation of the error probability for pilot-assisted URLLC with Massive MIMO

A. Oguz Kislal, Alejandro Lancho, Giuseppe Durisi +1

We propose a numerically efficient method for evaluating the random-coding union bound with parameter on the error probability achievable in the finite-blocklength regime by a…

cs.IT2015★ 10 cited

On Channel Estimation for 802.11p in Highly Time-Varying Vehicular Channels

Keerthi Kumar Nagalapur, Fredrik Brännström, Erik G. Ström

Vehicular wireless channels are highly time-varying and the pilot pattern in the 802.11p orthogonal frequency-division multiplexing frame has been shown to be ill suited for long d…

cs.IT2015★ 2 cited

D2D-based V2V Communications with Latency and Reliability Constraints

Wanlu Sun, Erik G. Ström, Fredrik Brännström +2

Direct device-to-device (D2D) communication has been proposed as a possible enabler for vehicle-to-vehicle (V2V) applications, where the incurred intra-cell interference and the st…

cs.IT2013★ 41 cited

Cooperative Wireless Sensor Network Positioning via Implicit Convex Feasibility

Mohammad Reza Gholami, Luba Tetruashvili, Erik G. Ström +1

We propose a distributed positioning algorithm to estimate the unknown positions of a number of target nodes, given distance measurements between target nodes and between target no…

cs.IT2011★ 12 cited

On Optimum Causal Cognitive Spectrum Reutilization Strategy

Kasra Haghighi, Erik G. Ström, Erik Agrell

In this paper we study opportunistic transmission strategies for cognitive radios (CR) in which causal noisy observation from a primary user(s) (PU) state is available. PU is assum…