Joint Optimization of Communication and Traffic Efficiency in Vehicular Networks
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Joint Optimization of Communication and Traffic Efficiency in Vehicular Networks. / Zhao, Long; Wang, Fangfei; Zheng, Kan; Riihonen, Taneli.
In: IEEE Transactions on Vehicular Technology, Vol. 68, No. 2, 01.02.2019, p. 2014-2018.Research output: Contribution to journal › Article › Scientific › peer-review
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TY - JOUR
T1 - Joint Optimization of Communication and Traffic Efficiency in Vehicular Networks
AU - Zhao, Long
AU - Wang, Fangfei
AU - Zheng, Kan
AU - Riihonen, Taneli
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Consider single-cell downlink vehicular networks, where a base station (BS) employing massive multiple-input multiple-output simultaneously transmits information to multiple vehicles on its covered road. Taking into account both the traffic and communication performance, the Flow rate of vehicles to the Power consumption of the BS Ratio (FPR) is defined as a comprehensive metric to represent the number of vehicles supported under limited transmit power. The objective of this paper is to maximize the FPR while guaranteeing the information rate requirements of the vehicles. We first derive the average power consumption of the BS with respect to vehicle density, based on which the FPR is established by using a flow rate function that quantifies the number of passed vehicles per time unit in terms of traffic density. Then, the optimal vehicle density is given in order to maximize the FPR. Simulation results indicate that the proposed scheme can significantly improve the power efficiency of the vehicular networks.
AB - Consider single-cell downlink vehicular networks, where a base station (BS) employing massive multiple-input multiple-output simultaneously transmits information to multiple vehicles on its covered road. Taking into account both the traffic and communication performance, the Flow rate of vehicles to the Power consumption of the BS Ratio (FPR) is defined as a comprehensive metric to represent the number of vehicles supported under limited transmit power. The objective of this paper is to maximize the FPR while guaranteeing the information rate requirements of the vehicles. We first derive the average power consumption of the BS with respect to vehicle density, based on which the FPR is established by using a flow rate function that quantifies the number of passed vehicles per time unit in terms of traffic density. Then, the optimal vehicle density is given in order to maximize the FPR. Simulation results indicate that the proposed scheme can significantly improve the power efficiency of the vehicular networks.
KW - cellular radio
KW - MIMO communication
KW - optimisation
KW - power consumption
KW - road traffic
KW - road vehicles
KW - vehicular ad hoc networks
KW - joint optimization
KW - single-cell downlink vehicular networks
KW - base station
KW - massive multiple-input multiple-output
KW - multiple vehicles
KW - covered road
KW - communication performance
KW - FPR
KW - transmit power
KW - information rate requirements
KW - average power consumption
KW - flow rate function
KW - traffic density
KW - optimal vehicle density
KW - power efficiency
KW - BS ratio
KW - passed vehicles-per-time unit
KW - Power demand
KW - Roads
KW - Fading channels
KW - Measurement
KW - Optimization
KW - Downlink
KW - Base stations
KW - Vehicular networks
KW - flow rate
U2 - 10.1109/TVT.2018.2886348
DO - 10.1109/TVT.2018.2886348
M3 - Article
VL - 68
SP - 2014
EP - 2018
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 2
ER -