PMID- 33265750
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231104
IS  - 1099-4300 (Electronic)
IS  - 1099-4300 (Linking)
VI  - 20
IP  - 9
DP  - 2018 Sep 2
TI  - Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with 
      Analog Fronthauling.
LID - 10.3390/e20090661 [doi]
LID - 661
AB  - This paper considers the coexistence of Ultra Reliable Low Latency Communications 
      (URLLC) and enhanced Mobile BroadBand (eMBB) services in the uplink of Cloud 
      Radio Access Network (C-RAN) architecture based on the relaying of radio signals 
      over analog fronthaul links. While Orthogonal Multiple Access (OMA) to the radio 
      resources enables the isolation and the separate design of different 5G services, 
      Non-Orthogonal Multiple Access (NOMA) can enhance the system performance by 
      sharing wireless and fronthaul resources. This paper provides an 
      information-theoretic perspective in the performance of URLLC and eMBB traffic 
      under both OMA and NOMA. The analysis focuses on standard cellular models with 
      additive Gaussian noise links and a finite inter-cell interference span, and it 
      accounts for different decoding strategies such as puncturing, Treating 
      Interference as Noise (TIN) and Successive Interference Cancellation (SIC). 
      Numerical results demonstrate that, for the considered analog fronthauling C-RAN 
      architecture, NOMA achieves higher eMBB rates with respect to OMA, while 
      guaranteeing reliable low-rate URLLC communication with minimal access latency. 
      Moreover, NOMA under SIC is seen to achieve the best performance, while, unlike 
      the case with digital capacity-constrained fronthaul links, TIN always 
      outperforms puncturing.
FAU - Matera, Andrea
AU  - Matera A
AUID- ORCID: 0000-0001-5787-5383
AD  - Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di 
      Milano, 20133 Milano, Italy.
FAU - Kassab, Rahif
AU  - Kassab R
AD  - Centre for Telecommunications Research (CTR), Department of Informatics, King's 
      College London, London WC2B 4BG, UK.
FAU - Simeone, Osvaldo
AU  - Simeone O
AD  - Centre for Telecommunications Research (CTR), Department of Informatics, King's 
      College London, London WC2B 4BG, UK.
FAU - Spagnolini, Umberto
AU  - Spagnolini U
AUID- ORCID: 0000-0002-7047-2455
AD  - Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di 
      Milano, 20133 Milano, Italy.
LA  - eng
GR  - 725731/H2020 European Research Council/
PT  - Journal Article
DEP - 20180902
PL  - Switzerland
TA  - Entropy (Basel)
JT  - Entropy (Basel, Switzerland)
JID - 101243874
PMC - PMC7513184
OTO - NOTNLM
OT  - C-RAN
OT  - RoC
OT  - URLLC
OT  - eMBB
OT  - network slicing
COIS- The authors declare no conflict of interest.
EDAT- 2018/09/02 00:00
MHDA- 2018/09/02 00:01
PMCR- 2018/09/02
CRDT- 2020/12/03 01:04
PHST- 2018/07/17 00:00 [received]
PHST- 2018/08/20 00:00 [revised]
PHST- 2018/08/31 00:00 [accepted]
PHST- 2020/12/03 01:04 [entrez]
PHST- 2018/09/02 00:00 [pubmed]
PHST- 2018/09/02 00:01 [medline]
PHST- 2018/09/02 00:00 [pmc-release]
AID - e20090661 [pii]
AID - entropy-20-00661 [pii]
AID - 10.3390/e20090661 [doi]
PST - epublish
SO  - Entropy (Basel). 2018 Sep 2;20(9):661. doi: 10.3390/e20090661.