In this work, we present a joint channel estimation, activity detection and data decoding
scheme for massive machine-type communications. By including the channel and the a …

This paper investigates multiple access schemes for uplink and downlink transmissions in
cellular networks with massive Internet of Things (IoT) devices. Recall that single-carrier …

In this letter, we propose a joint active device detection and channel estimation framework
based on factor graphs for asynchronous uplink grant-free massive multiple-antenna …

This letter considers a joint user activity, channel and data estimation problem in an uplink
grant-free massive MIMO systems with low-precision analog-to-digital converters (ADCs) …

In this paper, we study the high-dimensional multiple-measurement-vector (MMV) problem,
which typically arises in massive machine-type communications (mMTC) that operates with …

As industrial plants increase the number of wirelessly connected sensors for fault detection,
a key problem is to identify and obtain data from the sensors. Due to the large number of …

Spatial non-stationarity channel estimation for uplink massive MIMO systems can be
formulated as a non-uniform block sparse signal recovery problem, in which the hierarchical …

Irregular repetition slotted aloha (IRSA) is a grant-free random access protocol for massive
machine-type communications, in which users transmit replicas of their packet in randomly …

This paper studies the joint estimation of channel fading and user activity for the uplink of a
grant-free massive machine-type communication system. Comparing with previous studies …

In grant-free random access, a key question is how devices should utilize resources without
coordination. One standard solution to this problem are strategies where devices randomly …