activity
20212026
most citedClustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO

85 citations · 149 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2026

Repeater-Aided Over-the-Air Phase Synchronization in Distributed MIMO

Unnikrishnan Kunnath Ganesan, Sai Subramanyam Thoota, Erik G. Larsson

Phase synchronization of access points (APs) in a distributed multiple-input multiple-output (D-MIMO) system is critical to leverage the performance benefits of D-MIMO. Existing ov…

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.IT2025

Prediction-Powered Communication with Distortion Guarantees

Matteo Zecchin, Unnikrishnan Kunnath Ganesan, Giuseppe Durisi +2

The development of 6G wireless systems is taking place alongside the development of increasingly intelligent wireless devices and network nodes. The changing technological landscap…

cs.IT2025

Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees

Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Matteo Zecchin +2

We investigate a lossy source compression problem in which both the encoder and decoder are equipped with a pre-trained sequence predictor. We propose an online lossy compression s…

cs.IT2024★ 16 cited

Cell-Free Massive MIMO with Multi-Antenna Users and Phase Misalignments: A Novel Partially Coherent Transmission Framework

Unnikrishnan Kunnath Ganesan, Tung Thanh Vu, Erik G. Larsson

Cell-free massive multiple-input multiple-output (MIMO) is a promising technology for next-generation communication systems. This work proposes a novel partially coherent (PC) tran…

cs.IT2023

BeamSync: Over-The-Air Synchronization for Distributed Massive MIMO Systems

Unnikrishnan Kunnath Ganesan, Rimalapudi Sarvendranath, Erik G. Larsson

In distributed massive multiple-input multiple-output (MIMO) systems, multiple geographically separated access points (APs) communicate simultaneously with a user, leveraging the b…

cs.IT2022

Physical Layer Abstraction Model for RadioWeaves

Rimalapudi Sarvendranath, Unnikrishnan Kunnath Ganesan, Zakir Hussain Shaik +1

RadioWeaves, in which distributed antennas with integrated radio and compute resources serve a large number of users, is envisioned to provide high data rates in next generation wi…

cs.IT2021★ 1 cited

BeamSync: Over-The-Air Carrier Synchronization in Distributed RadioWeaves

Unnikrishnan Kunnath Ganesan, Rimalapudi Sarvendranath, Erik G. Larsson

In a distributed multi-antenna system, multiple geographically separated transmit nodes communicate simultaneously to a receive node. Synchronization of these nodes is essential to…

cs.IT2021★ 85 cited

Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO

Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson

Future wireless networks need to support massive machine type communication (mMTC) where a massive number of devices accesses the network and massive MIMO is a promising enabling t…

cs.IT2021★ 17 cited

RadioWeaves for Extreme Spatial Multiplexing in Indoor Environments

Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson

With the advances in virtual and augmented reality, gaming applications, and entertainment, certain indoor scenarios will require vastly higher capacity than what can be delivered…

cs.IT2021★ 30 cited

An Algorithm for Grant-Free Random Access in Cell-Free Massive MIMO

Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson

Massive access is one of the main use cases of beyond 5G (B5G) wireless networks and massive MIMO is a key technology for supporting it. Prior works studied massive access in the c…