Traffic convexity aware cellular networks: a vehicular heavy user perspective

Shim, Taehyoung; Park, Jihong; Ko, Seung-Woo; Kim, Seong-Lyun; Lee, Beom Hee; Choi, Jin Gu

doi:10.1109/mwc.2016.7422410

Cited by 10 publications

(9 citation statements)

References 17 publications

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“…A study 1 has also shown that the use of mobile data is dramatically increasing. A study 1 has also shown that the use of mobile data is dramatically increasing.…”

Section: Introductionmentioning

confidence: 99%

“…1 From the vehicle point of view, during the journey when the vehicle needs information for driving assistance and route planning, it either connects to internet via 3G/LTE network, or it can acquire such information from the neighboring vehicles. Usually, each vehicle unicasts its data back to the server and get information, in the same way, this requires individual 3G/LTE connection for each vehicle and putting additional load on the network.…”

Section: Introductionmentioning

confidence: 99%

“…Data-greedy applications place telecom networks in a situation wherein capacity and spectrum planning cannot meet the needs of users. A study 1 has also shown that the use of mobile data is dramatically increasing. Vehicle users contribute significantly to this growth, according to study vehicular user data traffic proportion increased by 8.62 times (from 2012 to 2015) as compared with overall data traffic growth which is 3.04 time for the same period.…”

Section: Introductionmentioning

confidence: 99%

“…Vehicle users contribute significantly to this growth, according to study vehicular user data traffic proportion increased by 8.62 times (from 2012 to 2015) as compared with overall data traffic growth which is 3.04 time for the same period. 1 The vehicle is the third place (following home and office) where modern people spend most of their time. Autonomous cars, public transport, and commercial taxis connect wirelessly to one another and traffic management authorities.…”

Section: Introductionmentioning

confidence: 99%

“…Usually, each vehicle unicasts its data back to the server and get information, in the same way, this requires individual 3G/LTE connection for each vehicle and putting additional load on the network. 1 From the vehicle point of view, during the journey when the vehicle needs information for driving assistance and route planning, it either connects to internet via 3G/LTE network, or it can acquire such information from the neighboring vehicles. As a connection to the internet is costly and acquiring information from the neighboring vehicle is a good choice with minimum cost.…”

Section: Introductionmentioning

confidence: 99%

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LTE efficiency when used in traffic information systems: A stable interest aware clustering

Ahmad

Noor

Z’aba

2018

Int J Communication

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Long-term evolution (LTE) technology is critical for the envisioned usage scenarios in the Internet of Vehicles. An important usage scenario is traffic information systems (TIS) for vehicular ad hoc networks (VANETs) that depend on LTE for the delivery of non-safety information to vehicles. TISs are centralized data warehouses that collect and process traffic information and subsequently allow vehicles to receive such information before and during a road trip. Considering the extensive deployment of VANETs, the LTE demand for TIS is expected to increase. Therefore, we explore and quantify the inefficiency of LTE when used in TIS. By envisioning basic test case scenarios, we establish the trends of data usage while commuting and providing insights into how LTE usage in TIS may lead to the inefficient use of the available wireless spectrum during road trips. To reduce identified inefficiency in LTE usage and cluster instability due to the high speed of the vehicles, we proposed a novel stable interest-aware clustering (SIAC) mechanism. SIAC consider VANETs mobility constraint, LTE link quality, and exploit interest of the vehicles, in cluster formation phase. Resulting in the reduction in the data demand of the vehicles and frequency of link failures among the vehicles and provides transmission path stability. SIAC performs well as compared with the existing approaches shows more cluster stability and reduces the LTE usage for driving assistance and route planning applications.KEYWORDS data and spectrum usage, internet of vehicles, LTE, stability, traffic information system, vehicular clustering

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“…A study 1 has also shown that the use of mobile data is dramatically increasing. A study 1 has also shown that the use of mobile data is dramatically increasing.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

LTE efficiency when used in traffic information systems: A stable interest aware clustering

Ahmad

Noor

Z’aba

2018

Int J Communication

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VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications

et al. 2018

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Millimeter-Wave Interference Avoidance via Building-Aware Associations

et al. 2018

Self Cite

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Signal occlusion by building blockages is a doubleedged sword for the performance of millimeter-wave (mmW) communication networks. Buildings may dominantly attenuate the useful signals, especially when mmW base stations (BSs) are sparsely deployed compared to the building density. In the opposite BS deployment, buildings can block the undesired interference. To enjoy only the benefit, we propose a building-aware association scheme that adjusts the directional BS association bias of the user equipments (UEs), based on a given building density and the concentration of UE locations around the buildings. The association of each BS can thereby be biased: (i) toward the UEs located against buildings for avoiding interference to other UEs; or (ii) toward the UEs providing their maximum reference signal received powers (RSRPs). The proposed association scheme is optimized to maximize the downlink average data rate derived by stochastic geometry. Its effectiveness is validated by simulation using real building statistics.Index Terms-Millimeter-wave communications, building blockages, base station association, load balancing, average data rate, stochastic geometry.

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Traffic convexity aware cellular networks: a vehicular heavy user perspective

Cited by 10 publications

References 17 publications

LTE efficiency when used in traffic information systems: A stable interest aware clustering

LTE efficiency when used in traffic information systems: A stable interest aware clustering

VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications

Millimeter-Wave Interference Avoidance via Building-Aware Associations

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