TY - GEN
T1 - Passive monitoring and geo-based prediction of mobile network vehicle-to-server communication
AU - Schmid, Josef
AU - Heß, Philipp
AU - Höß, Alfred
AU - Schuller, Björn W.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - Predicting mobile network parameters while driving is a challenge. The high dynamics and the mobility of the clients lead to spontaneous changes in the communication quality. There are different known approaches to predict the throughput of such mobile network connections. The paper presents a novel overview for the performance of different geographical prediction methods based on the same dataset. To generate the dataset, a tool for monitoring a vehicle-to-server communication in a passive way is presented, too. It does not only capture high level parameters like TCP throughput and round trip times, but also mobile network parameters, like RSSI or RSRQ. In addition, the data is recorded in real-time and augmented with GPS coordinates to analyze them location-dependent.
AB - Predicting mobile network parameters while driving is a challenge. The high dynamics and the mobility of the clients lead to spontaneous changes in the communication quality. There are different known approaches to predict the throughput of such mobile network connections. The paper presents a novel overview for the performance of different geographical prediction methods based on the same dataset. To generate the dataset, a tool for monitoring a vehicle-to-server communication in a passive way is presented, too. It does not only capture high level parameters like TCP throughput and round trip times, but also mobile network parameters, like RSSI or RSRQ. In addition, the data is recorded in real-time and augmented with GPS coordinates to analyze them location-dependent.
KW - cellular network
KW - connectivity map
KW - passive monitoring
KW - throughput prediction
KW - vehicle-to-everything communication
UR - http://www.scopus.com/inward/record.url?scp=85053898022&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2018.8450395
DO - 10.1109/IWCMC.2018.8450395
M3 - Conference contribution
AN - SCOPUS:85053898022
SN - 9781538620700
T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
SP - 1483
EP - 1488
BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Y2 - 25 June 2018 through 29 June 2018
ER -