Exploiting social reciprocity for auction-based spectrum allocation in femtocell networks

Feng Zhao, Haibo Tang and Hongbin Chen

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 6, 1550147717715232

Abstract: With the explosive demand for wireless communications, users are always experiencing poor quality-of-services. Spectrum auction is a promising approach to allocate spectrum resources in wireless networks. Most of the previous works ignored social characteristics of users in wireless networks which influence the allocation of spectrum resources. In this article, we study the spectrum auction problem in a femtocell network and jointly exploit the social reciprocity of users for optimizing the allocation of spectrum resources. We propose an auction incentive framework combined with social reciprocity in the femtocell network. Such a matter is formulated as an integer programming optimization problem, and a modified quantum genetic algorithm is developed to solve the optimization problem. Besides we propose a payment rule satisfying truthfulness and individual rationality properties. Simulation results show that our algorithm can achieve the optimal solution to the optimization problem.

Keywords: Femtocell network; spectrum auction; social reciprocity; modified quantum genetic (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147717715232 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:6:p:1550147717715232

DOI: 10.1177/1550147717715232

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().