Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Renwei Su

dblp:334/2373 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-4497-1525ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Cellular and mobile networks · 57% Physical-layer communications · 19% Wireless networking · 19%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › WLAN
access point selection
0.612022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022
Physical-layer communications › MIMO › massive MIMO
cell-free massive MIMO
0.612022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022
Cellular and mobile networks › radio resource management
pilot allocation
0.612022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022
Cellular and mobile networks
power control
0.612022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022
Cellular and mobile networks
radio access networks
0.612022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022
Internet of things and sensor networks › industrial network
industrial wireless networks
0.212022
User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks · IEEE Trans. Commun. 2022

Methods — techniques the papers use, named apart from their topics

convex optimization · 0.6SINR maximization · 0.6
YearPublicationVenuePosition
2022 User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks
abstract
The cell-free massive multiple-input multiple-output (CFmMIMO) aims to provide uniform quality of service (QoS) for all users, and can be used in small-area scenarios such as indoor industrial networks. This paper studies the CFmMIMO system for indoor industrial scenarios. Firstly, an access point (AP) grouping based hierarchical network topology is proposed. Based on this, we propose an effective AP selection method. To reduce pilot contamination, a pilot assignment scheme based on inspection robot (IR) location is proposed. Considering the high reliability requirement of industrial data transmission, the power control and backhaul combining are jointly optimized to maximize the minimum signal to interference plus noise ratio (SINR). The scalability of the proposed CFmMIMO system is analyzed, and a scalable power control method is proposed. The simulations demonstrate the effectiveness of the AP selection method, pilot assignment scheme, and the joint optimization algorithm for power control and backhaul combining. Moreover, the impact of network scale and network load on system performance is evaluated and analyzed in the simulations.
Haijun Zhang 0001, Renwei Su, Yongxu Zhu, Keping Long, George K. Karagiannidis
IEEE Trans. Commun.2