LTERadar
| Autor: | Kyu-Han Kim, Ioannis Pefkianakis, Christina Vlachou |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Standardization
Computer Networks and Communications Computer science 050801 communication & media studies 02 engineering and technology Interference (wave propagation) Spectrum management 0508 media and communications Hardware_GENERAL 020204 information systems Computer Science (miscellaneous) 0202 electrical engineering electronic engineering information engineering Spectral analysis Safety Risk Reliability and Quality business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences Detector 020206 networking & telecommunications Hardware and Architecture Software deployment InformationSystems_MISCELLANEOUS business Software Mobile service Computer network |
| Zdroj: | SIGMETRICS (Abstracts) |
| Popis: | Major cellular hardware vendors (e.g. Qualcomm, Ericsson), mobile service providers (e.g. Verizon, T-Mobile) and standardization bodies (LTE-U forum, 3GPP) are seeking to extend LTE networks into unlicensed bands to boost LTE speeds and coverage. However, the advent of LTE unlicensed technologies has raised serious concerns on Wi-Fi networks that are operating in the same bands. In this work, we evaluate LTE/Wi-Fi coexistence, by conducting experiments with commodity LTE unlicensed and state-of-the-art 802.11ac Wi-Fi testbeds. Our experimental results show that LTE-induced interference not only can decrease Wi-Fi throughput by an order of magnitude, but also significantly impact the operation of 802.11ac high-throughput features (MU-MIMO, channel bonding, rate adaptation). To this end, we design LTERadar, a lightweight interference detector that runs on Wi-Fi devices and accurately detects LTE interference. LTERadar is independent of the technology of LTE interferer (LTE-U or LAA, the dominant LTE unlicensed protocols). Our implementation and evaluation with off-the-shelf Wi-Fi APs show LTERadar's interference detection accuracy to be more than 90% in realistic settings. We corroborate the 90% accuracy of LTERadar out in the wild, under dense enterprise Wi-Fi environments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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