title: An Auction-Based Spectrum Leasing Mechanism for Mobile Macro-Femtocell Networks of IoT.
abstract: The Internet of Things (IoT) is a vision of the upcoming society. It can provide pervasive communication between two or more entities using 4G-LTE (Long Term Evolution) communication technology. In 4G-LTE networks, there are two important problems: helping manage the spectrum demands of IoT devices and achieving much more revenue with the limited resource. This paper proposes a pricing framework to investigate the spectrum leasing in mobile heterogeneous networks with single macrocell and multiple femtocells. We modeled the leasing procedure between the macrocell service provider (MSP) and femtocell holders (FHs) as an auction to motivate the MSP to lease its spectrum resource. All FHs act as the bidders, and the monopolist MSP acts as the auctioneer. In the auction, FHs submit their bids to rent the spectrum resource so that they can make a profit by selling it to their subscribers. The MSP determines the spectrum leasing amount and chooses the winning FHs by solving the dynamic programming-based 0-1 knapsack problem. In our proposed framework, we focus on the spectrum pricing strategy and revenue maximization of the MSP. The simulation results show that the proposed scheme provides effective motivation for the MSP to lease the spectrum to FHs, and both the MSP and FHs can benefit from spectrum leasing.
authors.affiliation: School of Computer Science, Beijing Information Science and Technology University, Beijing 100101, China. chenxin@bistu.edu.cn.
authors.forename: Xin
authors.initials: X
authors.lastname: Chen
authors.affiliation: School of Computer Science, Beijing Information Science and Technology University, Beijing 100101, China. xinglei@mail.bistu.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Xing
authors.affiliation: School of Software, Dalian University of Technology, Dalian 116620, China. qiutie@ieee.org.
authors.forename: Tie
authors.initials: T
authors.lastname: Qiu
authors.affiliation: School of Computer Science, Beijing Information Science and Technology University, Beijing 100101, China. lizhuo@bistu.edu.cn.
authors.forename: Zhuo
authors.initials: Z
authors.lastname: Li
keywords: Internet of Things; auction; knapsack problem; pricing framework; spectrum leasing