Title :
A truthful auction based incentive framework for femtocell access
Author :
Sha Hua ; Xuejun Zhuo ; Panwar, Shivendra S.
Author_Institution :
Polytech. Inst., New York Univ., New York, NY, USA
Abstract :
As cellular operators are suffering from a data explosion problem, and users are consequently experiencing poor data services, the introduction of femtocells offers a cost-effective way to mitigate this problem. Femtocells enable larger network capacity by increasing spatial reuse of the spectrum and shortening the distance to the users. Existing work has shown that open access femtocells, which allow unregistered macro users to connect, are efficient in reducing inter-cell interference and offloading traffic. However, a major obstacle constraining the potential capability of femtocells and open access is the lack of incentives for privately-owned femtocells to serve unregistered users. Hence in this paper, we propose a Vickrey-Clarke-Groves (VCG) auction based incentive framework for accessing such selfish femtocells. We consider two scenarios: One scenario involves a single macro user and another scenario has multiple macro users. We design auction schemes for both scenarios and show analytically that our schemes are truthful and have low computational complexity. Extensive simulations validate these properties and show huge performance improvement to the macro users.
Keywords :
computational complexity; femtocellular radio; frequency allocation; incentive schemes; interference suppression; telecommunication traffic; Vickrey-Clarke-Groves auction based incentive framework; computational complexity; data explosion problem; data services; femtocell access; intercell interference; macro users; network capacity; offloading traffic; open access femtocells; spatial spectrum reuse; truthful auction based incentive framework; Base stations; Computational complexity; Cost accounting; Nickel; Pricing; Resource management; Vectors;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6554914