1. Improving cellular capacity with white space offloading
- Author
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Mario Di Francesco, Liang Zheng, Mung Chiang, Jussi Kangasharju, Jiasi Chen, and Suzan Bayhan
- Subjects
cellular radio ,White spaces ,cellular channel ,Computer science ,cellular capacity ,Mobile computing ,radio spectrum management ,02 engineering and technology ,multiuser channels ,Radio spectrum ,Bandwidth ,0202 electrical engineering, electronic engineering, information engineering ,TV white spaces ,ta113 ,Efficient algorithm ,business.industry ,cellular network ,020208 electrical & electronic engineering ,Bandwidth (signal processing) ,Cellular traffic ,Cellular networks ,radiofrequency interference ,white space offloading ,020206 networking & telecommunications ,Throughput ,multiuser interference ,Cellular network ,cellular traffic ,Interference ,business ,white space channels ,Computer network ,Communication channel - Abstract
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.
- Published
- 2017
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