Abstract
Number of devices needing wireless communication is more than ever. The main ingredient of wireless communication-the spectrum-is limited and due to the unprecedented growth of smart devices the demand for spectrum is high. To serve all the devices needing wireless communication, intelligent spectrum sensing and its trading has been the hot topic of research in this decade. In spectrum trading, so far in the literature, two layers are considered in terms of primary and secondary users. However, it may be the case, that the secondary users (may be NGOs) may redistribute their spectrum to some third party (downtrodden people of the rural areas) freely. To the best of our knowledge, this environment is not addressed in the literature so far. In this paper this three layer potentially demanding architecture is studied and algorithms are proposed based on the theory of mechanism design without money. Our algorithm is also simulated with a specially designed benchmark algorithm.
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Notes
- 1.
The dynamic environment version of the problem is reserved for our future work. By dynamic environment we mean that the agents may arrive and depart from the system on regular basis.
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Chowdhury, A.B., Xhafa, F., Rongpipi, R., Mukhopadhyay, S., Singh, V.K. (2019). Spectrum Trading in Wireless Communication for Tertiary Market. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_13
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