Research Article
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Year 2020, Issue: 045, 178 - 200, 31.12.2020

Abstract

References

  • [1] Cisco Annual Internet Report (2018–2023),.CiscoCisco
  • [2] Albero, F. M., Štern, A., & Kos, A. (2013). Mobile network measurements using Android. In ERK-2013 International Electrotechnical and Computer Science Conference (pp. 97-100).
  • [3] Johan J, Wuri A. H., Sean K., Gyula B. (2012). Minimization of Drive Tests in3GPP Release 11, IEEE Communications Magazine.
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  • [6] Goel, U., Wittie, M. P., Claffy, K. C., & Le, A. (2015). Survey of end-to-end mobile network measurement testbeds, tools, and services. IEEE Communications Surveys & Tutorials, 18(1), 105-123.
  • [7] Lauridsen, M., Rodriguez, I., Mikkelsen, L. M., Gimenez, L. C., & Mogensen, P. (2016, April). Verification of 3G and 4G received power measurements in a crowdsourcing Android app. In 2016 IEEE Wireless Communications and Networking Conference (pp. 1-6). IEEE.
  • [8] Kaup, F., Jomrich, F., & Hausheer, D. (2015, March). Demonstration of NetworkCoverage–A Mobile Network Performance Measurement App. In International Conference on Networked Systems (NetSys) (Vol. 77, No. 7, pp. 228-230).
  • [9] Sonntag, S., Schulte, L., & Manner, J. (2013, April). Mobile network measurements-It's not all about signal strength. In 2013 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 4624-4629). IEEE.
  • [10] Sonntag, S., Manner, J., & Schulte, L. (2013, May). Netradar-measuring the wireless world. In 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) (pp. 29-34). IEEE.
  • [11] Nikravesh, A., Yao, H., Xu, S., Choffnes, D., & Mao, Z. M. (2015, May). Mobilyzer: An open platform for controllable mobile network measurements. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (pp. 389-404).
  • [12] Huang, J., Chen, C., Pei, Y., Wang, Z., Qian, Z., Qian, F., ... & Bahl, P. (2011). Mobiperf: Mobile network measurement system. Technical Report. University of Michigan and Microsoft Research.
  • [13] Cainey, J., Gill, B., Johnston, S., Robinson, J., & Westwood, S. (2014, September). Modelling download throughput of LTE networks. In 39th Annual IEEE Conference on Local Computer Networks Workshops (pp. 623-628). IEEE.
  • [14] Wu, D., Li, W., Chang, R. K., & Gao, D. (2016). MopEye: Monitoring per-app network performance with zero measurement traffic. arXiv preprint arXiv:1610.01282.
  • [15] Alepuz, I., Cabrejas, J., Monserrat, J. F., Perez, A. G., Pajares, G., & Gimenez, R. (2017, June). Use of mobile network analytics for application performance design. In 2017 Network Traffic Measurement and Analysis Conference (TMA) (pp. 1-6). IEEE.
  • [16] Lauridsen, M., Rodriguez, I., Mikkelsen, L. M., Gimenez, L. C., & Mogensen, P. (2016, April). Verification of 3G and 4G received power measurements in a crowdsourcing Android app. In 2016 IEEE Wireless Communications and Networking Conference (pp. 1-6). IEEE.
  • [17] Afroz, F., Subramanian, R., Heidary, R., Sandrasegaran, K., & Ahmed, S. (2015). SINR, RSRP, RSSI and RSRQ measurements in long term evolution networks. International Journal of Wireless & Mobile Networks.
  • [18] Huang, Junxian & Xu, Qiang & Tiwana, Birjodh & Mao, Zhuoqing & Zhang, Ming & Bahl, Paramvir. (2010). Anatomizing Application Performance Differences on. 165-178. 10.1145/1814433.1814452.
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  • [22] Hazza A.S., Humaid A.S., Ivica K., Josko Z. (2018). Verifying Measurements of Reference Signal Received Power (RSRP)on LTE Network using an App on Android Smartphones, 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Canada.
  • [23] https://tools.ietf.org/html/rfc2681, Son Erişim 21.04.20.
  • [24] Xue, L., Ma, X., Luo, X., Yu, L., Wang, S., & Chen, T. (2017, May). Is what you measure what you expect? factors affecting smartphone-based mobile network measurement. In IEEE INFOCOM 2017-IEEE Conference on Computer Communications (pp. 1-9). IEEE.
  • [25] Zhuang, Z., Kim, K. H., & Singh, J. P. (2010, June). Improving energy efficiency of location sensing on smartphones. In Proceedings of the 8th international conference on Mobile systems, applications, and services (pp. 315-330).
  • [26] Apoorva Prakash M V, Dr. MC Padma (2014). Battery-Bandwidth Based Handover Framework for 3G/WLAN Using Android Handheld Devices, Journal of Engineering Research and Applications

A NEW MOBILE APPLICATION FOR PHYSICAL MEASUREMENT IN A CELLULAR NETWORK

Year 2020, Issue: 045, 178 - 200, 31.12.2020

Abstract

Mobile cellular network operators make network parameter measurements called 'driving test' at regular intervals to understand the service quality and plan the network capacity. In order to reduce the man power and the cost required for the driving test, these measurements can be obtained with a mobile application which runs on the user equipment. Moreover, end user measurements of the cellular network parameters can be used to improve network performance in many ways, such as troubleshooting problems in network or determining the number and capacity of base stations.
In this paper, existing smartphone applications for network parameter measurement in the literature has been investigated and a new Andoid based application CoverME (Coverage of My Environment) has been developed. CoverME provides all the measurements performed by existing applications and supports four more additional measurements. The developed application makes the measurement accuracy to be analyzed with the help of the return time (RTT-round trip time) parameter and monitor the battery level. In addition, it limits the energy consumption as it is designed to operate in a semi-autonomous. CoverME keeps a record that contains key performance parameters of LTE communication systems; RSRP, RSRQ, RSSI, CQI values. These values matched with cell ID, download speed, latency and current location for the consistency of the application. As a case study, the measurements were made on a route determined in Isparta province with the developed application. Utilizing obtained measurements, the relationship of these values with each other and the relationship with the download speed were examined.

References

  • [1] Cisco Annual Internet Report (2018–2023),.CiscoCisco
  • [2] Albero, F. M., Štern, A., & Kos, A. (2013). Mobile network measurements using Android. In ERK-2013 International Electrotechnical and Computer Science Conference (pp. 97-100).
  • [3] Johan J, Wuri A. H., Sean K., Gyula B. (2012). Minimization of Drive Tests in3GPP Release 11, IEEE Communications Magazine.
  • [4] https://gs.statcounter.com/os-market-share/mobile/worldwide, Feb 2019 - Feb 2020, Son Erişim 21.04.20.
  • [5] Li, W., Mok, R. K., Wu, D., & Chang, R. K. (2015, April). On the accuracy of smartphone-based mobile network measurement. In 2015 IEEE Conference on Computer Communications (INFOCOM) (pp. 370-378). IEEE.
  • [6] Goel, U., Wittie, M. P., Claffy, K. C., & Le, A. (2015). Survey of end-to-end mobile network measurement testbeds, tools, and services. IEEE Communications Surveys & Tutorials, 18(1), 105-123.
  • [7] Lauridsen, M., Rodriguez, I., Mikkelsen, L. M., Gimenez, L. C., & Mogensen, P. (2016, April). Verification of 3G and 4G received power measurements in a crowdsourcing Android app. In 2016 IEEE Wireless Communications and Networking Conference (pp. 1-6). IEEE.
  • [8] Kaup, F., Jomrich, F., & Hausheer, D. (2015, March). Demonstration of NetworkCoverage–A Mobile Network Performance Measurement App. In International Conference on Networked Systems (NetSys) (Vol. 77, No. 7, pp. 228-230).
  • [9] Sonntag, S., Schulte, L., & Manner, J. (2013, April). Mobile network measurements-It's not all about signal strength. In 2013 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 4624-4629). IEEE.
  • [10] Sonntag, S., Manner, J., & Schulte, L. (2013, May). Netradar-measuring the wireless world. In 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) (pp. 29-34). IEEE.
  • [11] Nikravesh, A., Yao, H., Xu, S., Choffnes, D., & Mao, Z. M. (2015, May). Mobilyzer: An open platform for controllable mobile network measurements. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (pp. 389-404).
  • [12] Huang, J., Chen, C., Pei, Y., Wang, Z., Qian, Z., Qian, F., ... & Bahl, P. (2011). Mobiperf: Mobile network measurement system. Technical Report. University of Michigan and Microsoft Research.
  • [13] Cainey, J., Gill, B., Johnston, S., Robinson, J., & Westwood, S. (2014, September). Modelling download throughput of LTE networks. In 39th Annual IEEE Conference on Local Computer Networks Workshops (pp. 623-628). IEEE.
  • [14] Wu, D., Li, W., Chang, R. K., & Gao, D. (2016). MopEye: Monitoring per-app network performance with zero measurement traffic. arXiv preprint arXiv:1610.01282.
  • [15] Alepuz, I., Cabrejas, J., Monserrat, J. F., Perez, A. G., Pajares, G., & Gimenez, R. (2017, June). Use of mobile network analytics for application performance design. In 2017 Network Traffic Measurement and Analysis Conference (TMA) (pp. 1-6). IEEE.
  • [16] Lauridsen, M., Rodriguez, I., Mikkelsen, L. M., Gimenez, L. C., & Mogensen, P. (2016, April). Verification of 3G and 4G received power measurements in a crowdsourcing Android app. In 2016 IEEE Wireless Communications and Networking Conference (pp. 1-6). IEEE.
  • [17] Afroz, F., Subramanian, R., Heidary, R., Sandrasegaran, K., & Ahmed, S. (2015). SINR, RSRP, RSSI and RSRQ measurements in long term evolution networks. International Journal of Wireless & Mobile Networks.
  • [18] Huang, Junxian & Xu, Qiang & Tiwana, Birjodh & Mao, Zhuoqing & Zhang, Ming & Bahl, Paramvir. (2010). Anatomizing Application Performance Differences on. 165-178. 10.1145/1814433.1814452.
  • [19] Almohamedh, H., Al Qurashi, F., & Kostanic, I. (2014). Mobile videos quality measurements for long term evolution (LTE) network. vol. I, 505-509.
  • [20] https://www.sharetechnote.com/html/Handbook_LTE_CQI.html, Son Erişim 21.04.20.
  • [21] Kaup, F., & Hausheer, D. (2013, October). Optimizing energy consumption and qoe on mobile devices. In 2013 21st IEEE International Conference on Network Protocols (ICNP) (pp. 1-3). IEEE.
  • [22] Hazza A.S., Humaid A.S., Ivica K., Josko Z. (2018). Verifying Measurements of Reference Signal Received Power (RSRP)on LTE Network using an App on Android Smartphones, 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Canada.
  • [23] https://tools.ietf.org/html/rfc2681, Son Erişim 21.04.20.
  • [24] Xue, L., Ma, X., Luo, X., Yu, L., Wang, S., & Chen, T. (2017, May). Is what you measure what you expect? factors affecting smartphone-based mobile network measurement. In IEEE INFOCOM 2017-IEEE Conference on Computer Communications (pp. 1-9). IEEE.
  • [25] Zhuang, Z., Kim, K. H., & Singh, J. P. (2010, June). Improving energy efficiency of location sensing on smartphones. In Proceedings of the 8th international conference on Mobile systems, applications, and services (pp. 315-330).
  • [26] Apoorva Prakash M V, Dr. MC Padma (2014). Battery-Bandwidth Based Handover Framework for 3G/WLAN Using Android Handheld Devices, Journal of Engineering Research and Applications
There are 26 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Aygün Varol 0000-0002-4029-7676

Bilge Kartal Çetin This is me 0000-0002-3338-1538

Publication Date December 31, 2020
Submission Date April 22, 2020
Published in Issue Year 2020 Issue: 045

Cite

IEEE A. Varol and B. Kartal Çetin, “A NEW MOBILE APPLICATION FOR PHYSICAL MEASUREMENT IN A CELLULAR NETWORK”, JSR-A, no. 045, pp. 178–200, December 2020.