Submission doc.: IEEE 802.19-16/0061r0 Slide 1Igal Kotzer, General Motors March 2016 Automotive Environment Interference Evaluation Proposal Date: 2016-03-15.

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Presentation transcript:

Submission doc.: IEEE /0061r0 Slide 1Igal Kotzer, General Motors March 2016 Automotive Environment Interference Evaluation Proposal Date: Authors: Notice: This document has been prepared to assist IEEE It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.

Submission doc.: IEEE /0061r0 Slide 2Igal Kotzer, General Motors March 2016 Abstract Interference evaluation scenarios were proposed in [1], [2] Trying to devise interference tests over the whole test parameters list proves to be cumbersome In this submission a division into groups of tests is suggested Each test group focuses on one type of interference The rest of the environment is modelled / represented as an interference signal

Submission doc.: IEEE /0061r0 Slide 3Igal Kotzer, General Motors March 2016 Division of the Interference into Groups Being an 802 workgroup, we concentrate on the influence of 802 wireless devices on coexistence o Interference among IEEE a/b/g/n/ac/ax o Interference of to Bluetooth ( and mostly Bluetooth SIG) o Interference of to other wireless technologies on the 2.4GHz ISM band (e.g. KLEER) o Interference of Bluetooth or other technologies to Not treated o Interference among Bluetooth devices o Interference of Bluetooth devices to other wireless technologies on the 2.4GHz ISM band o Interference among other wireless technologies on the 2.4GHz ISM band

Submission doc.: IEEE /0061r0 Slide 4Igal Kotzer, General Motors March 2016 Division of the Interference into Groups (2) For each of the groups we need to thoroughly define the following: o Scenarios Define all relevant active devices (“device(s) under test”) inside the vehicle cabin (locations, TX power, channel, traffic model, antenna type etc.) o Interference models Define all relevant active devices that contribute to the interference to the DUT (locations, TX power, channel, traffic model, antenna type etc.) o Interference quantifying parameters What parameters do we need to record and compare under the same scenario with and without interference

Submission doc.: IEEE /0061r0 Slide 5Igal Kotzer, General Motors March 2016 Division of the Interference into Groups (3) In order to minimize the number of tests done with under live conditions (with surrounding vehicles, while the vehicle is moving etc.), it is proposed to define a way to generate the interference signal by simulation o The whole scenario is tested in simulation o Scenarios where movement is not an absolute necessity, this signal can be transmitted using an arbitrary waveform generator in controlled conditions

Submission doc.: IEEE /0061r0 Slide 6Igal Kotzer, General Motors March 2016 Interference among IEEE a/b/g/n/ac/ax Scenarios: A.Interference to a vehicle from surrounding vehicles (e.g. traffic jam) B.Interference to a vehicle from the stationary surrounding environment Interference models a)8 vehicles interfering Interference quantifying parameters I.EVM at the AP / STA under test (while the interference is on) II.Maximum achievable rate (averaged over ?? seconds) III.Latency

Submission doc.: IEEE /0061r0 Slide 7Igal Kotzer, General Motors March 2016 Interference of to Bluetooth Scenarios: A.Interference caused by devices inside the vehicle only B.Interference caused by devices inside the vehicle as well as from surrounding vehicles (e.g. traffic jam) Interference models a)Interference from inside the vehicle b)8 vehicles interfering Interference quantifying parameters I.Subjective voice quality tests – SCO link

Submission doc.: IEEE /0061r0 Slide 8Igal Kotzer, General Motors March 2016 Interference of to other wireless technologies on the 2.4GHz ISM Scenarios: A.? Interference models a)? Interference quantifying parameters I.Subjective voice quality tests – PESQ (e.g. KLEER)

Submission doc.: IEEE /0061r0 Slide 9Igal Kotzer, General Motors March 2016 Conclusions We should start working on a scenarios / interference models / interference quantifying parameters document Channel models for the key primary and interference links should be developed so that work can be done in the simulation domain as well as in the real world

Submission doc.: IEEE /0061r0 Slide 10Igal Kotzer, General Motors March 2016 References [1] IEEE /0034r0 [2] IEEE /0043r0