Compressive sensing-based grant-free massive access for 6G massive communication
The envisioned sixth-generation (6G) of wireless communications is expected to give rise to
the necessity of connecting very large quantities of heterogeneous wireless devices, which …
the necessity of connecting very large quantities of heterogeneous wireless devices, which …
Massive access for 5G and beyond
Massive access, also known as massive connectivity or massive machine-type
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …
A survey on event detection approaches for sensor based IoT
Over the period, two significant advancements ie shrinking of the sensor size and improved
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …
Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO
This paper considers massive access in massive multiple-input multiple-output (MIMO)
systems and proposes an adaptive active user detection and channel estimation scheme …
systems and proposes an adaptive active user detection and channel estimation scheme …
Sparse signal processing for grant-free massive connectivity: A future paradigm for random access protocols in the Internet of Things
The next wave of wireless technologies will proliferate in connecting sensors, machines, and
robots for myriad new applications, thereby creating the fabric for the Internet of Things (IoT) …
robots for myriad new applications, thereby creating the fabric for the Internet of Things (IoT) …
Massive connectivity with massive MIMO—Part I: Device activity detection and channel estimation
This two-part paper considers an uplink massive device communication scenario in which a
large number of devices are connected to a base station (BS), but user traffic is sporadic so …
large number of devices are connected to a base station (BS), but user traffic is sporadic so …
High-reliability and low-latency wireless communication for internet of things: Challenges, fundamentals, and enabling technologies
As one of the key enabling technologies of emerging smart societies and industries (ie,
industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and …
industry 4.0), the Internet of Things (IoT) has evolved significantly in both technologies and …
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 …
Massive access in cell-free massive MIMO-based Internet of Things: Cloud computing and edge computing paradigms
This article studies massive access in cell-free massive multi-input multi-output (MIMO)-
based Internet of Things and solves the challenging active user detection (AUD) and …
based Internet of Things and solves the challenging active user detection (AUD) and …
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 …