Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications
Compressed sensing multi-user detection (CS-MUD) algorithms play a key role in optimizing grant-free (GF) non-orthogonal multiple access (NOMA) for massive machine-type communications […]
Joint Coherent and Non-Coherent Detection and Decoding Techniques for Heterogeneous Networks
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC). […]
Deep Learning for Massive MIMO Uplink Detectors
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of attention in both academia and industry. Detection techniques have a […]
A coarse-to-fine framework for multiple pedestrian crossing detection
When providing route guidance to pedestrians, one of the major safety considerations is to ensure that streets are crossed at places with […]
Single photon lidar in mobile laser scanning
Single photon lidars (in solid state form) offer several benefits over pulsed lidars, such as independence of micro-mechanical moving parts or rotating […]
On Approximate Matrix Inversion Methods for Massive MIMO Detectors
Massive multiple-input multiple-output (MIMO) systems have been proposed to meet the user demands in terms of performance and quality of service (QoS). […]
Massive MIMO Detection Techniques
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands in performance and quality of services (QoS) for next […]
A part power set model for scale-free person retrieval
Recently, person re-identification (re-ID) has attracted increasing research attention, which has broad application prospects in video surveillance and beyond. To this end, […]