Abstract
To reduce the transmission energy and latency when servicing the users who are interested in a common popular content, the base station (BS) chooses to deliver the content to the users nearby with less power. After these users receive and cache the required content, they can act as relay users (RUEs) to serve those who are far away from the BS by means of Device-to-Device (D2D) and thus are called D2D users (DUEs). In such a scenario, how to classify the users into RUEs and DUEs and associate the DUEs to the RUEs is an important but not trivial problem. In this paper, we formulate the joint RUEs selection and DUEs association problem from a long-term perspective. To find a low complexity computational solution to the problem, we first propose an algorithm to select the RUEs based on the set criteria, and then a coalition formation game based algorithm is proposed for the DUEs association. We further prove that the proposed algorithm is convergent. Numerical results demonstrate that the algorithms we proposed yield notable gains compare with short-term optimal scheme and non-cooperative scheme.
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Acknowledgment
This work is partially supported by National Natural Science Foundation of China under Grant 61501041, and the Open Foundation of State Key Laboratory under Grant ISN19-19.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Su, Z., Zhang, B. (2019). Wireless Network Virtualization with Long-Term Device-to-Device Communication. In: Kliks, A., et al. Cognitive Radio-Oriented Wireless Networks. CrownCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-030-25748-4_25
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DOI: https://doi.org/10.1007/978-3-030-25748-4_25
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