PMID- 29419795 OWN - NLM STAT- PubMed-not-MEDLINE DCOM- 20180222 LR - 20181113 IS - 1424-8220 (Electronic) IS - 1424-8220 (Linking) VI - 18 IP - 2 DP - 2018 Feb 8 TI - Non-Orthogonal Multiple Access for Ubiquitous Wireless Sensor Networks. LID - 10.3390/s18020516 [doi] LID - 516 AB - Ubiquitous wireless sensor networks (UWSNs) have become a critical technology for enabling smart cities and other ubiquitous monitoring applications. Their deployment, however, can be seriously hampered by the spectrum available to the sheer number of sensors for communication. To support the communication needs of UWSNs without requiring more spectrum resources, the power-domain non-orthogonal multiple access (NOMA) technique originally proposed for 5th Generation (5G) cellular networks is investigated for UWSNs for the first time in this paper. However, unlike 5G networks that operate in the licensed spectrum, UWSNs mostly operate in unlicensed spectrum where sensors also experience cross-technology interferences from other devices sharing the same spectrum. In this paper, we model the interferences from various sources at the sensors using stochastic geometry framework. To evaluate the performance, we derive a theorem and present new closed form expression for the outage probability of the sensors in a downlink scenario under interference limited environment. In addition, diversity analysis for the ordered NOMA users is performed. Based on the derived outage probability, we evaluate the average link throughput and energy consumption efficiency of NOMA against conventional orthogonal multiple access (OMA) technique in UWSNs. Further, the required computational complexity for the NOMA users is presented. FAU - Anwar, Asim AU - Anwar A AD - Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand. asim.anwar@aut.ac.nz. FAU - Seet, Boon-Chong AU - Seet BC AUID- ORCID: 0000-0002-9511-7521 AD - Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand. boon-chong.seet@aut.ac.nz. FAU - Ding, Zhiguo AU - Ding Z AD - School of Computing and Communications, Lancaster University, Lancaster LA1 4YW, UK. z.ding@lancaster.ac.uk. LA - eng PT - Journal Article DEP - 20180208 PL - Switzerland TA - Sensors (Basel) JT - Sensors (Basel, Switzerland) JID - 101204366 PMC - PMC5856021 OTO - NOTNLM OT - cross-technology interference OT - non-orthogonal multiple access OT - stochastic geometry OT - ubiquitous wireless sensor networks OT - unlicensed spectrum COIS- The authors declare no conflict of interest. EDAT- 2018/02/09 06:00 MHDA- 2018/02/09 06:01 PMCR- 2018/02/01 CRDT- 2018/02/09 06:00 PHST- 2017/12/31 00:00 [received] PHST- 2018/02/03 00:00 [revised] PHST- 2018/02/07 00:00 [accepted] PHST- 2018/02/09 06:00 [entrez] PHST- 2018/02/09 06:00 [pubmed] PHST- 2018/02/09 06:01 [medline] PHST- 2018/02/01 00:00 [pmc-release] AID - s18020516 [pii] AID - sensors-18-00516 [pii] AID - 10.3390/s18020516 [doi] PST - epublish SO - Sensors (Basel). 2018 Feb 8;18(2):516. doi: 10.3390/s18020516.