Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897845467> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2897845467 endingPage "110" @default.
- W2897845467 startingPage "96" @default.
- W2897845467 abstract "Conducting in-field performance analysis for wireless carrier coverage and capacity is extremely costly in terms of equipment, manpower, and time. At the same time, there is a growing number of opportunities for crowdsourcing of network and sensor information via smart applications, firmware, and cellular standards. These facilities offer carriers feedback about user-perceived wireless channel quality. Crowdsourcing provides the ability to rapidly collect feedback with dense levels of penetration using client smartphones. However, mobile phones often fail to capture the fidelity and high sampling rates of more-advanced equipment (e.g., a channel scanner) used when drive testing for analysis of propagation characteristics. In this work, we quantify the impact of various effects induced by mobile phones when interpreting signal quality such as averaging over multiple samples, imprecise quantization, and non-uniform and/or less frequent channel sampling. To do so, we conduct extensive in-field experiments across heterogeneous devices and environments to empirically characterize the path loss via phone measurements on LTE networks. We find that mobile phones are comparable to advanced equipment in inferred radio propagation, within 0.1 of the calculated path loss exponent by the channel scanner across downtown, single-family, and multi-family residential areas. Lastly, we develop an intuition for the importance crowdsourcing-based propagation prediction by evaluating the effect on coverage estimation when deploying operational networks. For example, we find that even a prediction error of 0.4 for the path loss exponent would cause a 40% redundancy in the covered area or coverage holes for 25% of the targeted area based on whether the error was above or below the actual value, respectively." @default.
- W2897845467 created "2018-10-26" @default.
- W2897845467 creator A5009372982 @default.
- W2897845467 creator A5035362556 @default.
- W2897845467 creator A5084411929 @default.
- W2897845467 creator A5086620569 @default.
- W2897845467 date "2018-11-01" @default.
- W2897845467 modified "2023-10-16" @default.
- W2897845467 title "Pre-crowdsourcing: Predicting wireless propagation with phone-based channel quality measurements" @default.
- W2897845467 cites W1978172506 @default.
- W2897845467 cites W1985977780 @default.
- W2897845467 cites W2054405892 @default.
- W2897845467 cites W2096302898 @default.
- W2897845467 cites W2100937240 @default.
- W2897845467 cites W2102457675 @default.
- W2897845467 cites W2115674392 @default.
- W2897845467 cites W2117931421 @default.
- W2897845467 cites W2121261335 @default.
- W2897845467 cites W2135033464 @default.
- W2897845467 cites W2169030369 @default.
- W2897845467 cites W3105913109 @default.
- W2897845467 doi "https://doi.org/10.1016/j.comcom.2018.10.003" @default.
- W2897845467 hasPublicationYear "2018" @default.
- W2897845467 type Work @default.
- W2897845467 sameAs 2897845467 @default.
- W2897845467 citedByCount "6" @default.
- W2897845467 countsByYear W28978454672019 @default.
- W2897845467 countsByYear W28978454672021 @default.
- W2897845467 countsByYear W28978454672023 @default.
- W2897845467 crossrefType "journal-article" @default.
- W2897845467 hasAuthorship W2897845467A5009372982 @default.
- W2897845467 hasAuthorship W2897845467A5035362556 @default.
- W2897845467 hasAuthorship W2897845467A5084411929 @default.
- W2897845467 hasAuthorship W2897845467A5086620569 @default.
- W2897845467 hasConcept C108037233 @default.
- W2897845467 hasConcept C127162648 @default.
- W2897845467 hasConcept C136764020 @default.
- W2897845467 hasConcept C194273485 @default.
- W2897845467 hasConcept C202311505 @default.
- W2897845467 hasConcept C2777421447 @default.
- W2897845467 hasConcept C31258907 @default.
- W2897845467 hasConcept C41008148 @default.
- W2897845467 hasConcept C555944384 @default.
- W2897845467 hasConcept C62230096 @default.
- W2897845467 hasConcept C67212190 @default.
- W2897845467 hasConcept C76155785 @default.
- W2897845467 hasConcept C79403827 @default.
- W2897845467 hasConcept C9390403 @default.
- W2897845467 hasConceptScore W2897845467C108037233 @default.
- W2897845467 hasConceptScore W2897845467C127162648 @default.
- W2897845467 hasConceptScore W2897845467C136764020 @default.
- W2897845467 hasConceptScore W2897845467C194273485 @default.
- W2897845467 hasConceptScore W2897845467C202311505 @default.
- W2897845467 hasConceptScore W2897845467C2777421447 @default.
- W2897845467 hasConceptScore W2897845467C31258907 @default.
- W2897845467 hasConceptScore W2897845467C41008148 @default.
- W2897845467 hasConceptScore W2897845467C555944384 @default.
- W2897845467 hasConceptScore W2897845467C62230096 @default.
- W2897845467 hasConceptScore W2897845467C67212190 @default.
- W2897845467 hasConceptScore W2897845467C76155785 @default.
- W2897845467 hasConceptScore W2897845467C79403827 @default.
- W2897845467 hasConceptScore W2897845467C9390403 @default.
- W2897845467 hasFunder F4320306076 @default.
- W2897845467 hasLocation W28978454671 @default.
- W2897845467 hasOpenAccess W2897845467 @default.
- W2897845467 hasPrimaryLocation W28978454671 @default.
- W2897845467 hasRelatedWork W2085108347 @default.
- W2897845467 hasRelatedWork W2889222875 @default.
- W2897845467 hasRelatedWork W2955587292 @default.
- W2897845467 hasRelatedWork W3021521568 @default.
- W2897845467 hasRelatedWork W3203000479 @default.
- W2897845467 hasRelatedWork W4238200605 @default.
- W2897845467 hasRelatedWork W4385400684 @default.
- W2897845467 hasRelatedWork W4385483253 @default.
- W2897845467 hasRelatedWork W2736794055 @default.
- W2897845467 hasRelatedWork W2778591073 @default.
- W2897845467 hasVolume "132" @default.
- W2897845467 isParatext "false" @default.
- W2897845467 isRetracted "false" @default.
- W2897845467 magId "2897845467" @default.
- W2897845467 workType "article" @default.