TY - GEN
T1 - Improving cellular capacity with white space offloading
AU - Bayhan, Suzan
AU - Zheng, Liang
AU - Chen, Jiasi
AU - DI Francesco, Mario
AU - Kangasharju, Jussi
AU - Chiang, Mung
N1 - Publisher Copyright:
© 2017 IFIP.
PY - 2017/6/27
Y1 - 2017/6/27
N2 - With growing data demand and the current dearth of spectrum, mobile operators are looking for new frequency bands to satisfy data-hungry users. One promising avenue of expansion is TV white spaces, which are currently available to secondary users as long as they do not interfere with primary (i.e., incumbent) users. In this work, we explore the benefits of offloading cellular traffic onto TV white spaces. We develop an analytical model and efficient algorithms to assign users to the cellular network or white space channels by considering their channel gains, multi-user interference on white space channels, and the cost of switching between different networks. We perform extensive data-driven simulations in two representative urban scenarios based on publicly available datasets. Our results show that white spaces can increase capacity by 16-62%, depending on the environment, but careful network selection is necessary to ensure that maximum capacity gains are realized. Moreover, we show that white spaces provide a significant benefit in serving indoor users where cellular channel conditions are poor. Specifically, our algorithms can offload up to 40% of cellular traffic to white spaces for indoor scenarios.
AB - With growing data demand and the current dearth of spectrum, mobile operators are looking for new frequency bands to satisfy data-hungry users. One promising avenue of expansion is TV white spaces, which are currently available to secondary users as long as they do not interfere with primary (i.e., incumbent) users. In this work, we explore the benefits of offloading cellular traffic onto TV white spaces. We develop an analytical model and efficient algorithms to assign users to the cellular network or white space channels by considering their channel gains, multi-user interference on white space channels, and the cost of switching between different networks. We perform extensive data-driven simulations in two representative urban scenarios based on publicly available datasets. Our results show that white spaces can increase capacity by 16-62%, depending on the environment, but careful network selection is necessary to ensure that maximum capacity gains are realized. Moreover, we show that white spaces provide a significant benefit in serving indoor users where cellular channel conditions are poor. Specifically, our algorithms can offload up to 40% of cellular traffic to white spaces for indoor scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85026224426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026224426&partnerID=8YFLogxK
U2 - 10.23919/WIOPT.2017.7959891
DO - 10.23919/WIOPT.2017.7959891
M3 - Conference contribution
AN - SCOPUS:85026224426
T3 - 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
BT - 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
Y2 - 15 May 2017 through 19 May 2017
ER -