MIMO-Based Reliable Grant-Free Massive Access With QoS Differentiation for 5G and Beyond
- Authors
- Abebe, Ameha Tsegaye; Kang, Chung G.
- Issue Date
- 3월-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Quality of service; Channel estimation; Receivers; Pollution measurement; MIMO communication; Antennas; Complexity theory; Grant-free access; MIMO; non-orthogonal Zadoff-Chu sequences; quality-of-services (QoS); uRLLC; mMTC
- Citation
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v.39, no.3, pp.773 - 787
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Volume
- 39
- Number
- 3
- Start Page
- 773
- End Page
- 787
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/128513
- DOI
- 10.1109/JSAC.2020.3018963
- ISSN
- 0733-8716
- Abstract
- Grant-free (GF) access has been one of the enablers for the various use cases in 5th generation (5G) mobile system, especially for time-critical massive machine-type communication (mMTC). However, these use cases have diverse quality of service (QoS) requirements, which can be measured in terms of an access success rate from a GF random access perspective. Consequently, a GF scheme that enables supporting of diverse QoS is highly sought. This article proposes a GF access scheme in which high-QoS users superpose multiple preambles to improve their access success rate as a result of the diversity in access collision and multiple access interference seen by multiple preambles. We further show that in the presence of multiple antennas in the base station (BS), a low-complexity receiver can correctly detect active preambles with a significantly high probability, even under severe multiple access interference caused by non-orthogonal preamble transmission. A theoritical performance analysis is conducted by modeling the preamble reception as a multiple measurement vector-based compressive sensing problem. The preamble misdetection probability is shown to decrease exponentially as the number antennas at BS increases. Numerical results demonstrate multiple-order improvement in terms of the access success rate for critical-QoS users, even under severe noise and multiple access contamination.
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