In this paper, we study an active user detection problem for massive machine type communications (mMTC). The users transmit pilot-hopping sequences and detection of active users is performed based on the received energy. We utilize the channel hardening and favorable propagation properties of massive multiple- input multipleoutput (MIMO) to simplify the user detection. We propose and compare a number of different user detection methods and find that using non- negative least squares (NNLS) is well suited for the task at hand as it achieves good results as well as having the benefit of not having to specify further parameters.Funding Agencies|ELLIIT; Swedish Research Council (VR)Swedish Research Council</p
Abstract Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands...
International audienceThis paper focuses on random uplink transmissions of a subset of nodes dissemi...
In this paper, we propose a low-complexity algorithm based on Markov chain Monte Carlo (MCMC) techni...
In this paper, we study an active user detection problem for massive machine type communications (mM...
User activity detection in grant-free random access massive machine type communication (mMTC) using ...
In this paper, the problem of active eavesdropper detection is considered for a cell-free massive mu...
This thesis considers the massive random access problem in which a large number of sporadically acti...
The requirements to support massive connectivity and low latency in massive Machine Type Communicati...
Abstract This paper addresses the problem of joint user identification and channel estimation (JUIC...
With the advent of the Internet of things, massive machine-type communications (mMTC) have become on...
A key challenge of massive MTC (mMTC), is the joint detection of device activity and decoding of dat...
Massive machine-type communication (mMTC) concerns the access of massive machine-type communication ...
The massive multiple-input multiple-output (MIMO) technology has great potential to manage the rapid...
In this paper we consider cell-free (CF) massive MIMO (MaMIMO) systems, which comprise a very large ...
To enable massive-scale connectivity with low latency and efficient resource usage for massive machi...
Abstract Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands...
International audienceThis paper focuses on random uplink transmissions of a subset of nodes dissemi...
In this paper, we propose a low-complexity algorithm based on Markov chain Monte Carlo (MCMC) techni...
In this paper, we study an active user detection problem for massive machine type communications (mM...
User activity detection in grant-free random access massive machine type communication (mMTC) using ...
In this paper, the problem of active eavesdropper detection is considered for a cell-free massive mu...
This thesis considers the massive random access problem in which a large number of sporadically acti...
The requirements to support massive connectivity and low latency in massive Machine Type Communicati...
Abstract This paper addresses the problem of joint user identification and channel estimation (JUIC...
With the advent of the Internet of things, massive machine-type communications (mMTC) have become on...
A key challenge of massive MTC (mMTC), is the joint detection of device activity and decoding of dat...
Massive machine-type communication (mMTC) concerns the access of massive machine-type communication ...
The massive multiple-input multiple-output (MIMO) technology has great potential to manage the rapid...
In this paper we consider cell-free (CF) massive MIMO (MaMIMO) systems, which comprise a very large ...
To enable massive-scale connectivity with low latency and efficient resource usage for massive machi...
Abstract Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands...
International audienceThis paper focuses on random uplink transmissions of a subset of nodes dissemi...
In this paper, we propose a low-complexity algorithm based on Markov chain Monte Carlo (MCMC) techni...