A dual-polarized small base station antenna having a high T<sub>x</sub>/R<sub>x</sub> isolation characteristics for 900 MHz small-cell MIMO systems

Lee, Jungnam; Kim, Myung Don; Kim, Tae Joong

doi:10.1080/09205071.2017.1412359

Cited by 1 publication

(1 citation statement)

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“…Compared with the interference between them, the interference between the SBSs is negligible. Because the SBS is deployed, the operators adjust transmit power of base station so that the coverage areas are less overlapping [25], [26]. This paper assumes that vehicles and base stations communicate through Time Division Multiplexing (TDM) technology and each vehicle offloads data using time slots allocated by the base station.…”

Section: Transmission Timementioning

confidence: 99%

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

Shi

2020

IEEE Access

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From a global perspective, an Internet of Vehicles task offloading solution based on mobile edge computing is proposed, which satisfies the application requirements (high reliability) strictly. The average time for completing a task can be minimized with the reasonable task offloading solution. Firstly, we model the wireless network, the transmission time and the movement of vehicles. Besides, heterogeneous wireless network architecture is adopted, data centers are deployed at Small-cell Base Stations, Macro-cell Base Stations and Internet. Then considering the limitedness, heterogeneity and task diversity of resources, we utilize matching model based on combination auction to design the offloading model. Furthermore, the multi-round sequential combination auction mechanism is proposed, which equals the matching problem to the multi-dimensional grouping knapsack problem and uses dynamic programming to get the optimal match. This solution is based on virtual machine technology and voltage scaling technology in the task execution time model. Moreover, the computing resources can be measured by CPU frequency. We propose an optimization problem for the shortest average task completion time with limited resources. Finally, the effects of these parameters (such as the number of tasks per unit time, the amount of data offloaded and the number of CPU cycles) on the task execution efficiency are analyzed and compared with other algorithms by simulation experiments. Compared to existing schemes, simulation results show that the proposed algorithm can reduce system overhead and shorten task execution time effectively. INDEX TERMS Internet of Vehicles, task offloading, heterogeneous wireless network architecture, mobile edge computing, combination auction, channel gain.

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Section: Transmission Timementioning

confidence: 99%

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

Shi

2020

IEEE Access

View full text Add to dashboard Cite

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A dual-polarized small base station antenna having a high T_x/R_x isolation characteristics for 900 MHz small-cell MIMO systems

Cited by 1 publication

References 24 publications

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

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A dual-polarized small base station antenna having a high Tx/Rx isolation characteristics for 900 MHz small-cell MIMO systems

Cited by 1 publication

References 24 publications

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing

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A dual-polarized small base station antenna having a high T_x/R_x isolation characteristics for 900 MHz small-cell MIMO systems