Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach-Reference-Cited by-同舟云学术

Faster Activity and Data Detection in Massive Random Access: A Multiarmed Bandit Approach

Published:2022-08-01 Issue:15 Volume:9 Page:13664-13678
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Dong Jialin¹,Zhang Jun²^ORCID,Shi Yuanming³^ORCID,Wang Jessie Hui⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California at Los Angeles, Los Angeles, CA, USA

2. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

3. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

4. Institute for Network Sciences and Cyberspace, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

General Research Fund through the Hong Kong Research Grants Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9839365/09677019.pdf?arnumber=9677019

Reference43 articles.

1. Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs

2. Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs

3. Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs

4. Sparse Signal Processing Concepts for Efficient 5G System Design

5. Uplink Scheduling and Link Adaptation for Narrowband Internet of Things Systems

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