Pre-crowdsourcing: Predicting wireless propagation with phone-based channel quality measurements

Enami, Rita; Shi, Yan; Rajan, Dinesh; Camp, Joseph

doi:10.1016/j.comcom.2018.10.003

Cited by 8 publications

(8 citation statements)

References 12 publications

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“…The Qualipoc handheld android Xperia™ XZ model (Sony, Tokyo, Japan) is a smartphone-based tool designed for RF optimisation and mobile network testing which collects objective data on various signal strength indicators as well as the Tx power of the mobile device. It has been used in previous mobile phone measurement studies [25][26][27][28][29]. The Qualipoc handsets undergo rigorous 3rd Generation Partnership Project (3GPP), PCS Type Certification Review Board (PTCRB) conformance testing certifications across all the bands supported by the device and are in line with 3GPP specifications.…”

Section: Measurement Devicementioning

confidence: 99%

See 1 more Smart Citation

Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels

Brzozek

Zeleke

Abramson

et al. 2019

J Expo Sci Environ Epidemiol

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In many epidemiological studies mobile phone use has been used as an exposure proxy for radiofrequency electromagnetic field (RF-EMF) exposure. However, RF-EMF exposure assessment from mobile phone use is prone to measurement errors limiting epidemiological research. An often-overlooked aspect is received signal strength levels from base stations and its correlation with mobile phone transmit (Tx) power. The Qualipoc android phone is a tool that provides information on both signal strength and Tx power. The phone produces simultaneous measurements of Received Signal Strength Indicator (RSSI), Reference Signal Received Power (RSRP), Received Signal Code Power (RSCP), and Tx power on the 3G and 4G networks. Measurements taken in the greater Melbourne area found a wide range of signal strength levels. The correlations between multiple signal strength indicators and Tx power were assessed with strong negative correlations found for 3G and 4G data technologies (3G RSSI −0.93, RSCP −0.93; 4G RSSI −0.85, RSRP −0.87). Variations in Tx power over categorical levels of signal strength were quantified and showed large increases in Tx power as signal level decreased. Future epidemiological studies should control for signal strength or factors influencing signal strength to reduce RF-EMF exposure measurement error.

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Section: Measurement Devicementioning

confidence: 99%

“…This device provides information on both signal strength and Tx power, although it does not include data on the distance the phone is held from the body. It has previously been used in research to verify 3G and 4G received power measurements from the android App NetMap [25], as well as other measurement studies [26,27].…”

Section: Introductionmentioning

confidence: 99%

Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels

Brzozek

Zeleke

Abramson

et al. 2019

J Expo Sci Environ Epidemiol

View full text Add to dashboard Cite

show abstract

“…In general, the metrics measured by the apps on the smartphones are in line with the ones that are measured by exploiting dedicated equipment [32], [33]. To this aim, Lauridsen et al [32] show that the RSRP measurements performed by NetMap app are reliable.…”

Section: ) Qos Characterizationmentioning

confidence: 84%

Not in My Neighborhood: A User Equipment Perspective of Cellular Planning Under Restrictive EMF Limits

et al. 2019

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The installation of base station (BS) sites is regulated by a variety of laws at international, national, and local levels. While international regulations are already severe, the national and local laws applied in many countries and regions follow precautionary principles and enforce electromagnetic field (EMF) constraints that are even more restrictive. This legal environment results in substantial constraints affecting the planning of cellular networks, as requests for new BS site installation are easily denied by national or local authorities. In this paper, we consider the problem of cellular planning under restrictive EMF limits from the user equipment (UE) viewpoint. We focus on outdoor urban areas and first evaluate the impact of the current, non-optimal network planning at the UE side through a quantitative measurement-driven analysis of the quality of service (QoS) observed by users in heterogeneous, large-scale urban scenarios. We then perform a qualitative assessment of the perceived QoS and generated EMF levels at one UE transferring data from/to a BS based on its position with respect to the serving BS. Finally, we run a what-if analysis by comparing the existing planning with the one where new BS sites can be installed, thanks to a relaxation of the restrictive EMF constraints. Our results clearly show that a cellular planning driven by restrictive EMF constraints forces UE to experience large distances from the serving BS, frequent non-lineof-sight conditions, and poor received signal. In turn, this entails a very negative combination of high electric field activity (EFA) levels generated by the UE and low QoS perceived by the user. We show that, by relaxing the restrictive EMF constraints, the problem could be sensibly mitigated with a positive impact on the UE channel conditions and consequently on the perceived QoS and the UE EFA. INDEX TERMS Cellular network planning, EMF limits, impact on QoS, user equipment measurements.

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“…Também é possível utilizar medições individuais e sequenciais de cada usuário do sistema como forma preliminar de estimar e caracterizar o canal rádio-móvel. Por mais que estudos apontem que as diferenças nas medições realizadas entre diferentes aparelhos seja um empecilho para a estimação exata da perda de percurso do ambiente [6], a análise dos efeitos deletérios do multipercurso e do sombreamento pode ser feita de forma independente uma vez que os fenômenos podem ser processados separadamente. [7].…”

Section: Introductionunclassified

“…Recentemente [3]- [6], pesquisadores apresentaram dados e testaram ferramentas computacionais semelhantes, incluindo suas respectivas precisões técnicas. Além disso, há propostas de sistemas que surgiram com o objetivo de fazer testes de qualidade e desempenho de forma colaborativa, algumas delas permitindo a execução de testes personalizados criados por pesquisadores e usuários [2].…”

Section: Introductionunclassified

Sistema Colaborativo para Medição e Análise de Redes Celulares Baseado em Aplicativo Móvel

Santos¹,

Valle²,

Costa³

et al. 2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Pre-crowdsourcing: Predicting wireless propagation with phone-based channel quality measurements

Cited by 8 publications

References 12 publications

Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels

Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels

Not in My Neighborhood: A User Equipment Perspective of Cellular Planning Under Restrictive EMF Limits

Sistema Colaborativo para Medição e Análise de Redes Celulares Baseado em Aplicativo Móvel

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