TY - GEN
T1 - Performance Analysis of Multi-Connectivity based Self-Backhauled Millimeter Wave Mobile Networks
AU - Maham, Behrouz
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this paper, a multi-connectivity based two-tiered self-backhauled millimeter wave (mmWave) network is considered. We assume both access and backhaul links are modelled by random binary blockage and Nakagami-m channels in order to model the impairments in mmWave bands. The system performance is evaluated for a downlink system with cooperation of multiple self-backhauled base stations in term of outage probability. Moreover, the derived end-to-end probability density function is utilized to calculate the ergodic capacity. Finally, simulation results are presented to show the impact of different parameters on the performance.
AB - In this paper, a multi-connectivity based two-tiered self-backhauled millimeter wave (mmWave) network is considered. We assume both access and backhaul links are modelled by random binary blockage and Nakagami-m channels in order to model the impairments in mmWave bands. The system performance is evaluated for a downlink system with cooperation of multiple self-backhauled base stations in term of outage probability. Moreover, the derived end-to-end probability density function is utilized to calculate the ergodic capacity. Finally, simulation results are presented to show the impact of different parameters on the performance.
UR - http://www.scopus.com/inward/record.url?scp=85198837690&partnerID=8YFLogxK
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U2 - 10.1109/WCNC57260.2024.10570826
DO - 10.1109/WCNC57260.2024.10570826
M3 - Conference contribution
AN - SCOPUS:85198837690
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE Wireless Communications and Networking Conference, WCNC 2024
Y2 - 21 April 2024 through 24 April 2024
ER -