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Publication . Conference object . Article . 2017

Fine-grained LTE radio link estimation for mobile phones

Bui, Nicola; Michelinakis, Foivos; Widmer, Joerg;
Open Access  
Abstract
Abstract Recently, spectrum optimization solutions require mobile phones to obtain precise, accurate and fine-grained estimates of the radio link data rate. In particular, the effectiveness of anticipatory schemes depends on the granularity of these measurements. In this paper we use a reliable LTE control channel sniffer (OWL) to extensively compare mobile phone measurements against exact LTE radio link data rates. We also provide a detailed study of latencies measured on mobile phones, the sniffer, and a server to which the phone is connected. In this study, we show that mobile phones can accurately (if slightly biased) estimate the physical radio link data rate. We highlight the differences among measurements obtained using different mobile phones, communication technologies and protocols. We also provide detailed instructions on how to replicate our measurements and describe alternative measurement setups and their tradeoffs.
Subjects by Vocabulary

Microsoft Academic Graph classification: Radio Link Protocol law.invention law Phone Granularity Computer science Real-time computing Data rate Replicate Mobile phone Estimation Control channel

Subjects

Software, Computer Science Applications, Hardware and Architecture, Computer Networks and Communications, Information Systems, LTE, mobile phone measurements, sniffer, radio link, LTE, mobile phone measurements, sniffer, radio link

Funded by
EC| MONROE
Project
MONROE
Measuring Mobile Broadband Networks in Europe
  • Funder: European Commission (EC)
  • Project Code: 644399
  • Funding stream: H2020 | RIA
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