Massive Multiple Input Output (MIMO) is a promising technique for communications due to the high data transmission rate. To harvest benefit from massive MIMO, it necessary have accurate channel estimates. Such channels often exhibit sparsity in virtual angular domain. This paper proposes dichotomous coordinate descent (DCD) based algorithm joint sparse estimation domain orthogonal-frequency-div...

How to meet the demand for increasing number of users, higher data rates, and stringent quality-of-service (QoS) in beyond fifth-generation (B5G) networks? Cell-free massive multiple-input multiple-output (MIMO) is considered as a promising solution, which many wireless access points cooperate jointly serve users by exploiting coherent signal processing. However, there are still unsolved practi...

The performance of centralized and distributed deployments of massive MIMO in an office building is analyzed both with and without cooperation. It is shown that using twice as many base station antennas as data streams provides most of the massive MIMO benefits. A simple transmission scheme achieves user fairness and operates close to a capacity upper bound. An example scheduling algorithm impr...

Considering current trends, the need for more sophisticated bandwidth-intensive services will further push the limits on future standards to provide integration between wireless technologies and higher speeds, requiring a new generation of mobile networks, the so-called fifth generation (5G). Advanced technologies such as massive MIMO and millimeter-wave systems will have significant impact on ...

This two-part paper aims to quantify the cost of device activity detection in an uplink massive connectivity scenario with a large number of devices but device activities are sporadic. Part I of this paper shows that in an asymptotic massive multiple-input multiple-output (MIMO) regime, device activity detection can always be made perfect. Part II of this paper subsequently shows that despite t...