Non-Bayesian activity detection, large-scale fading coefficient estimation, and unsourced random access with a massive MIMO receiver
In this paper, we study the problem of user activity detection and large-scale fading
coefficient estimation in a random access wireless uplink with a massive MIMO base station …
coefficient estimation in a random access wireless uplink with a massive MIMO base station …
RadioUNet: Fast radio map estimation with convolutional neural networks
In this paper we propose a highly efficient and very accurate deep learning method for
estimating the propagation pathloss from a point (transmitter location) to any point on a …
estimating the propagation pathloss from a point (transmitter location) to any point on a …
Uplink massive access in mixed RF/FSO satellite-aerial-terrestrial networks
This paper investigates the massive access for a satellite-aerial-terrestrial network (SATN),
where a high-altitude platform (HAP) is deployed as a relay to assist the uplink transmission …
where a high-altitude platform (HAP) is deployed as a relay to assist the uplink transmission …
AI assisted PHY in future wireless systems: Recent developments and challenges
Nowadays, the rapid development of artificial intelligence (AI) provides a fresh perspective
in designing future wireless communication systems. Innumerable attempts exploiting AI …
in designing future wireless communication systems. Innumerable attempts exploiting AI …
Joint activity detection and channel estimation in cell-free massive MIMO networks with massive connectivity
M Guo, MC Gursoy - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
Cell-free massive MIMO is one of the key technologies for future wireless communications,
in which users are simultaneously and jointly served by all access points (APs). In this …
in which users are simultaneously and jointly served by all access points (APs). In this …
Deep-learned approximate message passing for asynchronous massive connectivity
This paper considers the massive connectivity problem in an asynchronous grant-free
random access system, where a huge number of devices sporadically transmit data to a …
random access system, where a huge number of devices sporadically transmit data to a …
Grant-free access via bilinear inference for cell-free MIMO with low-coherence pilots
We propose a novel joint activity, channel and data estimation (JACDE) scheme for multiple-
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
Phase transition analysis for covariance-based massive random access with massive MIMO
This paper considers a massive random access problem in which a large number of
sporadically active devices wish to communicate with a base station (BS) equipped with …
sporadically active devices wish to communicate with a base station (BS) equipped with …
Sparse activity detection in multi-cell massive MIMO exploiting channel large-scale fading
This paper studies the device activity detection problem in a multi-cell massive multiple-input
multiple-output (MIMO) system, in which the active devices transmit signature sequences to …
multiple-output (MIMO) system, in which the active devices transmit signature sequences to …
Feature-aided adaptive-tuning deep learning for massive device detection
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation
(6G) wireless network is required to support grant-free random access of a massive number …
(6G) wireless network is required to support grant-free random access of a massive number …