activity
20172022
most citedLow Power Receiver Front Ends: Scaling Laws and Applications

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

eess.SP2022

6G Radio Requirements to Support Integrated Communication, Localization, and Sensing

Henk Wymeersch, Aarno Pärssinen, Traian E. Abrudan +10

6G will be characterized by extreme use cases, not only for communication, but also for localization, and sensing. The use cases can be directly mapped to requirements in terms of…

cs.IT20191 cited

Low Power Receiver Front Ends: Scaling Laws and Applications

Muris Sarajlić, Liang Liu, Henrik Sjöland +1

In this paper, we combine communication-theoretic laws with known, practically verified results from circuit theory. As a result, we obtain closed-form theoretical expressions link…

eess.SP2019

Decentralized Massive MIMO Processing Exploring Daisy-chain Architecture and Recursive Algorithms

Jesus Rodriguez Sanchez, Fredrik Rusek, Ove Edfors +2

Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a centra…

eess.SP2018

Fully Decentralized Massive MIMO Detection Based on Recursive Methods

Jesus Rodriguez Sanchez, Fredrik Rusek, Muris Sarajlic +2

Algorithms for Massive MIMO uplink detection typically rely on a centralized approach, by which baseband data from all antennas modules are routed to a central node in order to be…

cs.IT2018

Impact of Relay Cooperation on the Performance of Large-scale Multipair Two-way Relay Networks

Muris Sarajlic, Liang Liu, Fredrik Rusek +2

We consider a multipair two-way relay communication network, where pairs of user devices exchange information via a relay system. The communication between users employs time divis…

stat.ML2017

Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning

Joao Vieira, Erik Leitinger, Muris Sarajlic +2

This paper provides an initial investigation on the application of convolutional neural networks (CNNs) for fingerprint-based positioning using measured massive MIMO channels. When…