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Optimization of over-the-air file distribution for connected cars based upon a heuristic scheduling algorithm

專利號
US11176458B2
公開日期
2021-11-16
申請人
AT&T Intellectual Property I, L.P.(US GA Atlanta)
發(fā)明人
Jie Chen; Sichong Guan; Wenjie Zhao; Laurie Bigler
IPC分類
H04L29/08; H04W8/24; H04W4/40; G06N5/00; H04W4/50; G06F8/61; G06F8/65
技術(shù)領(lǐng)域
ota,car,or,connected,heuristic,scheduling,cars,can,network,in
地域: GA GA Atlanta

摘要

Concepts and technologies disclosed herein are directed to the optimization of over-the-air (“OTA”) file distribution for connected cars based upon a heuristic scheduling algorithm. A schedule provided by the heuristic scheduling algorithm is designed to distribute OTA data flow to connected cars over the network (geographically) and over a scheduling time horizon (timely), and is capable of reducing the negative impact of OTA file updates on overall wireless network performance. This schedule is created based upon historical statistics associated with connected car driving patterns and simulations of connected car-specific OTA traffic over the network. By leveraging connected cars that connect to different cells at different times based upon driving patterns, the heuristic scheduling algorithm is effective in reducing OTA impact on the network.

說明書

In this example simulation, five simulation cases (CASE 0-CASE 4) will be referenced. For CASE 0 (the baseline CASE for this example simulation), a batch-size selection scheduling scheme with random selection is used. For CASE 1, heuristic individual scheduling is used based upon execution of the heuristic scheduling algorithm 136 with a scheduling unit set equal to 1 hour. For CASE 2, a heuristic individual scheduling scheme is used based upon execution of the heuristic scheduling algorithm 136 with a scheduling unit set equal to 3 hours. For CASE 3, an individual scheduling scheme with a first MIP model is used. For CASE 4, an individual scheduling with a second MIP model is used. Comparison measurements of this example simulation utilize a time unit set equal to 10 minutes and measured throughput is updated at each time unit (i.e., every 10 minutes).

The example simulation measures network impact based upon the number of international mobile subscriber identities (“IMSIs”) per cell, active cell, active neighbor (“NBR”) cells, and cell load (in MB). IMSI per cell specifies the number of active IMSIs in a given cell during one time unit. Active cell specifies the number of active cells during one time unit. The active NBR specifies the number of active neighbor cells of a cell during one time unit. The cell load specifies the OTA traffic of every cell during one time unit. This example simulation also provides OTA download-related measurements, including average download duration (in seconds), average effective duration (in seconds), and download completion ratio in two days. The download duration is equal to download end minus download start. The effective download duration is equal to download time connecting to the network 114 via the RAN 108.

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