PMID- 36081034
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220913
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 17
DP  - 2022 Aug 31
TI  - Empowering Intelligent Surfaces and User Pairing for IoT Relaying Systems: Outage 
      Probability and Ergodic Capacity Performance.
LID - 10.3390/s22176576 [doi]
LID - 6576
AB  - The evolution of Internet of Things (IoT) networks has been studied owing to the 
      associated benefits in useful applications. Although the evolution is highly 
      helpful, the increasing day-to-day demands of mobile users have led to immense 
      requirements for further performance improvements such as efficient spectrum 
      utilization, massive device connectivity, and high data rates. Fortunately, 
      reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access 
      (NOMA) techniques have recently been introduced as two possible 
      current-generation emerging technologies with immense potential of addressing the 
      above-mentioned issues. In this paper, we propose the integration of RIS to the 
      existing techniques (i.e., NOMA and relaying) to further enhance the performance 
      for mobile users. We focus on a performance analysis of two-user group by 
      exploiting two main performance metrics including outage probability and ergodic 
      capacity. We provide closed-form expressions for both performance metrics to 
      highlight how NOMA-aided RIS systems provide more benefits compared with the 
      benchmark based on traditional orthogonal multiple access (OMA). Monte-Carlo 
      simulations are performed to validate the correctness of obtained expressions. 
      The simulations show that power allocation factors assigned to two users play a 
      major role in the formation of a performance gap among two users rather than the 
      setting of RIS. In particular, the strong user achieves optimal outage behavior 
      when it is allocated 35% transmit power.
FAU - Dang, Huu-Phuc
AU  - Dang HP
AUID- ORCID: 0000-0002-9643-7287
AD  - Electrical-Electronics Department, School of Engineering and Technology, Tra Vinh 
      University, Tra Vinh 87000, Vietnam.
FAU - Nguyen, Minh-Sang Van
AU  - Nguyen MV
AUID- ORCID: 0000-0002-3768-6072
AD  - Faculty of Electronics Technology, Industrial University of Ho Chi Minh City 
      (IUH), Ho Chi Minh City 70000, Vietnam.
FAU - Do, Dinh-Thuan
AU  - Do DT
AUID- ORCID: 0000-0003-2072-069X
AD  - Department of Computer Science and Information Engineering, College of 
      Information and Electrical Engineering, Asia University, Taichung 41354, Taiwan.
FAU - Nguyen, Minh-Hoa
AU  - Nguyen MH
AUID- ORCID: 0000-0001-6494-7779
AD  - Electrical-Electronics Department, School of Engineering and Technology, Tra Vinh 
      University, Tra Vinh 87000, Vietnam.
FAU - Pham, Minh-Triet
AU  - Pham MT
AD  - Electrical-Electronics Department, School of Engineering and Technology, Tra Vinh 
      University, Tra Vinh 87000, Vietnam.
FAU - Kim, Anh-Tuan
AU  - Kim AT
AD  - Electrical-Electronics Department, School of Engineering and Technology, Tra Vinh 
      University, Tra Vinh 87000, Vietnam.
LA  - eng
GR  - 182/ HD.HDKH&DT-DHTV./Tra Vinh University/
PT  - Journal Article
DEP - 20220831
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC9460030
OTO - NOTNLM
OT  - ergodic capacity
OT  - non-orthogonal multiple access
OT  - outage probability
OT  - reconfigurable intelligent surfaces
OT  - relay
COIS- The authors declare no conflict of interest.
EDAT- 2022/09/10 06:00
MHDA- 2022/09/10 06:01
PMCR- 2022/08/31
CRDT- 2022/09/09 01:33
PHST- 2022/07/24 00:00 [received]
PHST- 2022/08/24 00:00 [revised]
PHST- 2022/08/29 00:00 [accepted]
PHST- 2022/09/09 01:33 [entrez]
PHST- 2022/09/10 06:00 [pubmed]
PHST- 2022/09/10 06:01 [medline]
PHST- 2022/08/31 00:00 [pmc-release]
AID - s22176576 [pii]
AID - sensors-22-06576 [pii]
AID - 10.3390/s22176576 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Aug 31;22(17):6576. doi: 10.3390/s22176576.