PMID- 35271121
OWN - NLM
STAT- MEDLINE
DCOM- 20220314
LR  - 20220317
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 5
DP  - 2022 Mar 3
TI  - Evaluation of Full-Duplex SWIPT Cooperative NOMA-Based IoT Relay Networks over 
      Nakagami-m Fading Channels.
LID - 10.3390/s22051974 [doi]
LID - 1974
AB  - In this paper, we investigate the performance of non-orthogonal multiple access 
      (NOMA)-based full-duplex Internet-of-Things (IoT) relay systems with simultaneous 
      wireless information and power transfer (SWIPT) over Nakagami-m fading channels 
      to improve the performance of a cell-edge user under perfect and imperfect 
      successive interference cancellation (SIC). Two scenarios, i.e., direct and 
      non-direct links, between the source node and cell-edge user are examined. The 
      exact closed-form analytical and approximate expressions for the outage 
      probability, system throughput, energy efficiency, and ergodic capacities are 
      derived and validated via Monte Carlo simulations to characterize the proposed 
      system performance. To further improve the system performance, we also provide a 
      low-complexity algorithm to maximize the system throughput over-optimizing the 
      time-switching factor. The results show that our proposed NOMA system can achieve 
      superior performance compared to its orthogonal multiple access (OMA) counterpart 
      under perfect SIC and with a low-to-medium signal-to-noise ratio under imperfect 
      SIC, according to the level of residual self-interference and the quality of 
      links.
FAU - Nguyen, Tien-Tung
AU  - Nguyen TT
AUID- ORCID: 0000-0001-7380-7591
AD  - Faculty of Electronics Technology, Industrial University of Ho Chi Minh City 
      (IUH), Ho Chi Minh City 700000, Vietnam.
FAU - Nguyen, Sang Quang
AU  - Nguyen SQ
AUID- ORCID: 0000-0002-1798-2296
AD  - Department of Science and International Cooperation, Ho Chi Minh City University 
      of Transport, Ho Chi Minh City 700000, Vietnam.
FAU - Nguyen, Phu X
AU  - Nguyen PX
AUID- ORCID: 0000-0001-8637-2507
AD  - Department of Computing Fundamentals, FPT University, Ho Chi Minh City 700000, 
      Vietnam.
FAU - Kim, Yong-Hwa
AU  - Kim YH
AUID- ORCID: 0000-0003-2183-5085
AD  - Department of Data Science, Korea National University of Transportation (KNUT), 
      Uiwang-si 16106, Gyeonggi-do, Korea.
LA  - eng
GR  - 144/HEth-EthHCN/Industrial University of Ho Chi Minh City/
GR  - 19R1A2C2086621/National Research Foundation of Korea (NRF)/
GR  - 2022/Korea National University of Transportation/
PT  - Journal Article
DEP - 20220303
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - Algorithms
MH  - Humans
MH  - Monte Carlo Method
MH  - *Noma
MH  - Probability
MH  - Signal-To-Noise Ratio
PMC - PMC8915111
OTO - NOTNLM
OT  - AF
OT  - NOMA
OT  - ergodic capacity
OT  - maximum ratio transmission
OT  - outage probability
COIS- We have also no conflicts of interest to disclose.
EDAT- 2022/03/11 06:00
MHDA- 2022/03/15 06:00
PMCR- 2022/03/03
CRDT- 2022/03/10 15:42
PHST- 2022/02/08 00:00 [received]
PHST- 2022/02/23 00:00 [revised]
PHST- 2022/02/28 00:00 [accepted]
PHST- 2022/03/10 15:42 [entrez]
PHST- 2022/03/11 06:00 [pubmed]
PHST- 2022/03/15 06:00 [medline]
PHST- 2022/03/03 00:00 [pmc-release]
AID - s22051974 [pii]
AID - sensors-22-01974 [pii]
AID - 10.3390/s22051974 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Mar 3;22(5):1974. doi: 10.3390/s22051974.