TY - GEN
T1 - Poster
T2 - 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016
AU - Dhekne, Ashutosh
AU - Gowda, Mahanth
AU - Choudhury, Romit Roy
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/10/3
Y1 - 2016/10/3
N2 - Internet connectivity on mobile devices is an essential commodity in today's world. While outdoors, most people connect through cellphone towers on 3G or 4G. However, cell-phone tower coverage is not uniform and is affected by electromagnetic shadows cast by large structures, multipath, and absorption by various surfaces. Users with high data needs suffer in such locations due to insufficient network bandwidth. A similar insufficiency can also be felt by ash crowds in locations with otherwise moderate signal strength due to division of the available bandwidth. We explore the possibility of using drones as a solution to this problem. The drones can hover with direct line of sight with a cellphone tower and extend cellular coverage into the weaker regions. Our idea is to use the knowledge of large structures in the area to compute the expected SNR space around the client's current location. We use ray-tracing techniques to compute the expected SNR in an area. We then verify its similarity with ground truth by measuring, at several locations on the ground, the received signal strength from a Wifi router on a drone.
AB - Internet connectivity on mobile devices is an essential commodity in today's world. While outdoors, most people connect through cellphone towers on 3G or 4G. However, cell-phone tower coverage is not uniform and is affected by electromagnetic shadows cast by large structures, multipath, and absorption by various surfaces. Users with high data needs suffer in such locations due to insufficient network bandwidth. A similar insufficiency can also be felt by ash crowds in locations with otherwise moderate signal strength due to division of the available bandwidth. We explore the possibility of using drones as a solution to this problem. The drones can hover with direct line of sight with a cellphone tower and extend cellular coverage into the weaker regions. Our idea is to use the knowledge of large structures in the area to compute the expected SNR space around the client's current location. We use ray-tracing techniques to compute the expected SNR in an area. We then verify its similarity with ground truth by measuring, at several locations on the ground, the received signal strength from a Wifi router on a drone.
UR - http://www.scopus.com/inward/record.url?scp=84994164450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84994164450&partnerID=8YFLogxK
U2 - 10.1145/2973750.2985275
DO - 10.1145/2973750.2985275
M3 - Conference contribution
AN - SCOPUS:84994164450
SN - 9781450342261
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 456
EP - 457
BT - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
PB - Association for Computing Machinery
Y2 - 3 October 2016 through 7 October 2016
ER -