TY - JOUR
T1 - Blind reconfigurable intelligent surface-aided fixed non-orthogonal multiple access for intelligent vehicular networks
AU - Kumaravelu, Vinoth Babu
AU - Selvaprabhu, Poongundran
AU - Han, Dong Seog
AU - Sarker, Md Abdul Latif
AU - Periyakarupan Gurusamy Sivabalan, Velmurugan
AU - Sundarrajan Jayaraman, Thiruvengadam
AU - Murugadass, Arthi
AU - Evangeline, C. Suganthi
N1 - Publisher Copyright:
© 2023, Springer Nature Switzerland AG.
PY - 2023/12
Y1 - 2023/12
N2 - In intelligent vehicular networks, vehicles should be able to communicate with their surroundings while traveling. This results in more efficient, safer, and comfortable driving experiences, as well as new commercial prospects in a variety of industries. Connected vehicles and autonomous vehicles expect 100% reliable connectivity without any compromise in quality. However, due to challenges such as difficult channel terrains in urban scenarios and dead zones, the reliability of current vehicle-to-infrastructure (V2I) and vehicle-to-vehicle communication systems cannot be guaranteed. The performance of vehicular networks can be considerably enhanced with reconfigurable intelligent surfaces (RIS). Non-orthogonal multiple access (NOMA) allows for massive connectivity with the surroundings. In vehicular networks, the RIS-assisted NOMA can ensure regulated channel gains, better coverage, throughput, and energy efficiency. In this work, a blind RIS-assisted fixed NOMA (FNOMA) system is proposed for a downlink V2I scenario. The closed-form analytical outage probability and throughput expressions are derived by considering RIS as an intelligent reflector and as a roadside unit. It is observed that the analytical and Monte Carlo simulation results are closely related. In simulations, it has been discovered that RIS-assisted FNOMA outperforms the traditional NOMA variants in terms of outage and throughput. Even without precise channel knowledge, blind RIS transmission outperforms traditional NOMA variants due to huge array gain. The increase in the number of reflective elements also results in a significant improvement in signal-to-noise ratio gains.
AB - In intelligent vehicular networks, vehicles should be able to communicate with their surroundings while traveling. This results in more efficient, safer, and comfortable driving experiences, as well as new commercial prospects in a variety of industries. Connected vehicles and autonomous vehicles expect 100% reliable connectivity without any compromise in quality. However, due to challenges such as difficult channel terrains in urban scenarios and dead zones, the reliability of current vehicle-to-infrastructure (V2I) and vehicle-to-vehicle communication systems cannot be guaranteed. The performance of vehicular networks can be considerably enhanced with reconfigurable intelligent surfaces (RIS). Non-orthogonal multiple access (NOMA) allows for massive connectivity with the surroundings. In vehicular networks, the RIS-assisted NOMA can ensure regulated channel gains, better coverage, throughput, and energy efficiency. In this work, a blind RIS-assisted fixed NOMA (FNOMA) system is proposed for a downlink V2I scenario. The closed-form analytical outage probability and throughput expressions are derived by considering RIS as an intelligent reflector and as a roadside unit. It is observed that the analytical and Monte Carlo simulation results are closely related. In simulations, it has been discovered that RIS-assisted FNOMA outperforms the traditional NOMA variants in terms of outage and throughput. Even without precise channel knowledge, blind RIS transmission outperforms traditional NOMA variants due to huge array gain. The increase in the number of reflective elements also results in a significant improvement in signal-to-noise ratio gains.
KW - Fixed non-orthogonal multiple access (FNOMA)
KW - Next-generation networks
KW - Outage probability
KW - Reconfigurable intelligent surfaces (RIS)
KW - Throughput
KW - Vehicle-to-infrastructure (V2I)
UR - http://www.scopus.com/inward/record.url?scp=85168790151&partnerID=8YFLogxK
U2 - 10.1186/s13638-023-02291-y
DO - 10.1186/s13638-023-02291-y
M3 - Article
AN - SCOPUS:85168790151
SN - 1687-1472
VL - 2023
JO - Eurasip Journal on Wireless Communications and Networking
JF - Eurasip Journal on Wireless Communications and Networking
IS - 1
M1 - 83
ER -