4 Hits in 9.2 sec

Sparse Signal Processing Concepts for Efficient 5G System Design

Gerhard Wunder, Holger Boche, Thomas Strohmer, Peter Jung
2015 IEEE Access  
Signal sparsity and the associated rich collection of tools and algorithms will thus be a viable source for innovation in 5G wireless system design.  ...  We will discribe applications of this sparse signal processing paradigm in MIMO random access, cloud radio access networks, compressive channel-source network coding, and embedded security.  ...  low-rank and sparse structures, as present for example in (sparse) compressive phase retrieval or compressive blind deconvolution discussed in Sec.  ... 
doi:10.1109/access.2015.2407194 fatcat:g5bkjwwdorasfmsmnfngfkptdm

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications [article]

Khaled B. Letaief, Yuanming Shi, Jianmin Lu, Jianhua Lu
2021 arXiv   pre-print
In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models.  ...  It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from "connected things" to "connected intelligence".  ...  To further reduce the latency for data decoding in random access, a sparse blind demixing framework was developed in [187] by simultaneously performing active device detection, channel estimation and  ... 
arXiv:2111.12444v1 fatcat:crrbtfylvjeihogumggdnxcbpq

Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution [article]

Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei
2021 arXiv   pre-print
Simulation results demonstrate the effectiveness of our approach in AoA detection as well as data recovery.  ...  This work presents a novel framework for random access in crowded scenarios of multiple-input multiple-output(MIMO) systems.  ...  low-latency communications (URLLC).  ... 
arXiv:2108.09498v1 fatcat:2qlds3plgng7phdw6nuorlxe5a

Table of contents

2021 ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
NON-COHERENT .................................................. 4620 SUB-ARRAYS VIA JOINT SPARSE AND LOW-RANK SIGNAL RECOVERY Tom Tirer, Tel-Aviv University, Israel; Oded Bialer, General Motors, Israel  ...  IN ASYNCHRONOUS IOT SYSTEMS Liang Liu, The Hong Kong Polytechnic University, China; Ya-Feng Liu, Chinese Academy of Sciences, China SPCOM-4.4: KALMAN FILTER BASED MIMO CSI PHASE RECOVERY FOR COTS ....  ... 
doi:10.1109/icassp39728.2021.9414617 fatcat:m5ugnnuk7nacbd6jr6gv2lsfby