Impact of Imperfect SIC in NOMA Enabled Heterogeneous Cellular Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254671" target="_blank" >RIV/61989100:27240/23:10254671 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85178589075&origin=resultslist" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85178589075&origin=resultslist</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Impact of Imperfect SIC in NOMA Enabled Heterogeneous Cellular Network
Original language description
To accommodate a large number of users requiring higher data rates and improved outage performance, a heterogeneous cellular network (HCN) uses a multi-tier architecture made up of a macro-base station (MBS) and pico-base station (PBS). Due to its superior spectrum efficiency, non-orthogonal multiple access (NOMA) has been identified as a suitable multiple-access strategy for the upcoming sixth-generation wireless networks. Successive interference cancellation (SIC) is an essential technique in NOMA that enables multiple users to share the same resource while maintaining high performance and fairness. Thus, it is essential to understand the performance guarantees of actual NOMA-enabled HCN systems (HCN-NOMA) using a multi-tier design under both ideal and imperfect SIC using a stochastic geometry. In multi-tier HCN, the outage probability and system throughput of orthogonal multiple access (OMA) and NOMA under perfect and imperfect SIC are evaluated and compared in this paper. It has been found that using NOMA rather than OMA results in performance gains of up to 40% at 25 dB SNR in HCN. Performance increases of up to 30% against OMA at 25 dB SNR can be observed, despite imperfections in the SIC at NOMA.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
INES 2023 : 27th IEEE International Conference on Intelligent Engineering Systems 2023 : proceedings : July 26-31, 2023, Nairobi, Nyeri, Kenya
ISBN
979-8-3503-2852-3
ISSN
1543-9259
e-ISSN
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Number of pages
6
Pages from-to
137-142
Publisher name
IEEE
Place of publication
Piscataway
Event location
Nairobi
Event date
Jul 26, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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