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HIGHLY CITED PAPERS (HCP)

  • 전임교원이 최근 5년간 출판한 논문 중, 연도별 카테고리별 피인용 상위 1%에 달성된 논문
  • 매월 1회 업데이트
SCIE Article
Online Control of Preamble Groups With Priority in Massive IoT Networks
Author
Liu, Jie (Dept Elect & Elect Engn); Hu Jin (Dept Elect & Elect Engn) corresponding author;
Corresponding Author Info
Prof. Hu Jin (전자공학부)
Professor
E-mail
이메일hjin@hanyang.ac.kr
Document Type
Source
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Volume:39 Issue:3 Pages:700-713 Published:2021
Times Cited
10 (2022.1.5.)
External Information
http://dx.doi.org/10.1109/JSAC.2020.3018964
Abstract
- 5월/6월 2021부로, 이 인용 빈도가 높은 논문의 인용 횟수가 분야와 출판 연도에 대해 Physics 관련 학술 분야에서 상위 1%에 올랐습니다.
- MAR 2021
<Abstract>
Internet of Things (IoT) imbued with several heterogeneous services and applications is integral to the ultimate realization of connected living. However, massive connectivity would pose huge challenges not only due to immense scalability but also due to diverse characteristics of periodicity, delay-criticality, and quality-of-service (QoS) requirement. One important trend of this diversity is that the connected devices would manifest different priorities. Random access procedure (RAP) is the first step by which most devices establish connection to the base station. A major transformation is urgently needed in RAP for cellular IoT as the volume of connected devices would far exceeds human oriented connections of the legacy networks. To prioritize the RAP for IoT devices, we propose novel online control algorithm that enables the most likely successful preamble transmission for the devices that manifest higher priority requirements. In the proposed algorithm, the number of active devices in each priority is recursively estimated based on Bayesian rule and then the preambles to each priority are accordingly allocated. We extend our proposal by adopting access class baring (ACB) to optimize the algorithm and subsequently, enhance it further by incorporating access delay requirements. Extensive simulations show the effectiveness of proposed algorithms over multiple priorities and confirm that the proposed algorithms are able to resolve congestions for massive activation of IoT devices.
Web of Science Categories
Engineering, Electrical & Electronic; Telecommunications
Funding
NRF Grant - Korea government (MSIT) [NRF-2018R1C1B6008126]
Language
English
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