Abstract
Mobile data offloading is considered as an effective way to solve the network overloading issue. In this paper, we study the mobile data offloading problem through a third-party cognitive small cell providing data offloading service to a macrocell. Particularly, four scenarios, namely, successive interference cancellation (SIC) available at neither the macrocell base station (MBS) nor the small cell BS (SBS), SIC available at both the MBS and the SBS, SIC available at only the MBS, and SIC available at only the SBS are considered. For all the four scenarios, iterative optimization based data offloading schemes are proposed. We show that the proposed data offloading schemes outperform the corresponding schemes without data offloading. We also show that equipping SIC at the SBS is more beneficial compared to equipping SIC at the MBS.
This work was supported by the National Science and Technology Major Project of China (Grant No. 2017ZX03001008), the Postdoctoral Research Plan of Jiangsu Province (Grant No. 1701167B), the Postdoctoral Science Foundation of China (Grant No. 2017M621795), the NUPTSF (Grant Nos. NY218007 and NY218026), and the NSF of Jiangsu Province (Grant No. BK20160900).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Q., Yin, Z., Xu, D. (2019). Resource Allocation for Mobile Data Offloading Through Third-Party Cognitive Small Cells. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_43
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DOI: https://doi.org/10.1007/978-3-030-06161-6_43
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