Ground Level Mobile Signal Prediction Using Higher Altitude UAV Measurements and ANN

Ibtihal Al Saadi, Naser Tarhuni*, Mostefa Mesbah

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

1 اقتباس (Scopus)


Testing the mobile network signal strength is essential for evaluating actual user experience. This procedure is done by measurement campaign, where a person or a group of people walk or drive through the target area holding a measuring equipment. However, this is not suitable to do in hard-to-reach areas. In order to minimize human involvement and to reduce resources, labour, and time consumed, an alternative approach for physical assessment of cellular coverage and quality evaluating is needed. In this work, we used a drone to measure mobile network signal strength to generate a two-dimensional coverage map for difficult-to-reach areas. A machine learning algorithm is used to estimate the signal strength in other locations within the area to generate a dense 2D coverage map. The measurements were done on Sultan Qaboos University Campus, Muscat, Oman. Our finding shows that a drone equipped with a low-cost signal strength measuring device and an artificial neural network (ANN) algorithm are able to generate an accurate dense map of mobile signal strength in a flexible and cost-effective manner. The ANN was capable of predicting the signal strength at the ground from measurement at higher altitudes with an accuracy of 97%.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the 32nd Conference of Open Innovations Association FRUCT, FRUCT 2022
ناشرIEEE Computer Society
عدد الصفحات7
رقم المعيار الدولي للكتب (الإلكتروني)9789526924489
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2022
الحدث32nd Conference of Open Innovations Association FRUCT, FRUCT 2022 - Tampere, Finland
المدة: نوفمبر ٩ ٢٠٢٢نوفمبر ١١ ٢٠٢٢

سلسلة المنشورات

الاسمConference of Open Innovation Association, FRUCT
مستوى الصوت2022-November
رقم المعيار الدولي للدوريات (المطبوع)2305-7254


Conference32nd Conference of Open Innovations Association FRUCT, FRUCT 2022

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