TY - GEN
T1 - On the value of vehicular relay nodes in cellular networks
AU - Lavi, Nadav
AU - Levy, Hanoch
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - We investigate the performance of a new deployment concept in cellular networks, in which on-street parked vehicles, termed Vehicular Relay Nodes (VeRN), are opportunistically activated to become a Relay Node (RN) in the cellular infrastructure, and boost the overall deployment performance. Analyzing the performance of such network, versus traditional stationary cellular deployment, is challenging, due to the dynamic nature of vehicles. We examine the gain of VeRNs for various user locations in a cellular deployment. We provide an exact analysis of the VeRN expected gain that incorporates the dynamic behavior of the parked vehicle network. We further provide a closed-form approximation of this gain. Our results show that under the wellknown WINNER-II channel model the gains are very significant (125 - 300% gain in throughput). Simulation results show that our approximation closely follows actual network performance, and the positive influence of VeRN on network capacity.
AB - We investigate the performance of a new deployment concept in cellular networks, in which on-street parked vehicles, termed Vehicular Relay Nodes (VeRN), are opportunistically activated to become a Relay Node (RN) in the cellular infrastructure, and boost the overall deployment performance. Analyzing the performance of such network, versus traditional stationary cellular deployment, is challenging, due to the dynamic nature of vehicles. We examine the gain of VeRNs for various user locations in a cellular deployment. We provide an exact analysis of the VeRN expected gain that incorporates the dynamic behavior of the parked vehicle network. We further provide a closed-form approximation of this gain. Our results show that under the wellknown WINNER-II channel model the gains are very significant (125 - 300% gain in throughput). Simulation results show that our approximation closely follows actual network performance, and the positive influence of VeRN on network capacity.
UR - http://www.scopus.com/inward/record.url?scp=85045288746&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2017.8288298
DO - 10.1109/VTCFall.2017.8288298
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AN - SCOPUS:85045288746
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017
Y2 - 24 September 2017 through 27 September 2017
ER -