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학술지 Spectral Efficient Resource Allocation for URLLC in Distributed Antenna Systems
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저자
홍준표, 박재현, 신우람, 백승권
발행일
202012
출처
IEEE Transactions on Vehicular Technology, v.69 no.12, pp.15057-15067
ISSN
0018-9545
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TVT.2020.3032697
협약과제
19HH1900, 셀룰러 기반 산업 자동화 시스템 구축을 위한 5G 성능 한계 극복 저지연, 고신뢰, 초연결 통합 핵심기술 개발, 김태중
초록
In this paper, we propose novel resource allocation algorithms for ultra-reliable and low-latency communication (URLLC) in distributed antenna systems (DASs) and discuss the effectiveness of the receive antenna deployment and multiple access strategies in fulfilling the stringent reliability and latency requirements. We analyze achievable rates and reliabilities of the DASs with orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) by taking into account the influence of the latency constraint and the non-identical channel distributions of the distributed antennas. Based on the performance analysis, we propose novel resource allocation algorithms for fulfilling the stringent performance requirement in OMA and NOMA. The numerical simulation results provide insightful information for understanding the impacts of multiple access strategy and antenna deployment on the spectral efficiency under the reliability and latency constraints. In particular, NOMA makes it possible to deal with more transmit nodes than OMA, and more dispersed antenna deployment facilitates to achieve a target URLLC performance with less spectrum resource as the ratio of transmit nodes to receive antennas increases. Consequently, the analysis and simulation results provide the meaningful information on the network design for mission-critical applications.
키워드
and industrial Internet of things (IIoT), distributed antenna system (DAS), Ultra-reliable low-latency communication (URLLC)
KSP 제안 키워드
Achievable rate, Analysis and simulation, Antenna deployment, Efficient resource allocation, Internet of thing(IoT), Low-Latency Communication, Meaningful information, Non-orthogonal multiple access(NOMA), Numerical simulations, Performance analysis, Resource allocation algorithm