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.
Highlights
In recent years, with the rapid development of the Internet of Things (IoT) [1] and cloud computing [2], the number of user equipment (UE) accessing mobile networks is growing quickly, resulting in the increasing of network traffic
We proposed a pricing framework to investigate the spectrum leasing problem for coexisting macrocell base stations (MBSs) and femtocell base stations (FBSs) in mobile macro-femto networks
We model the leasing procedure between the MBS and FBSs as an auction, where all FBSs bid to obtain the spectrum resource, and the MBS
Summary
With the rapid development of the Internet of Things (IoT) [1] and cloud computing [2], the number of user equipment (UE) accessing mobile networks is growing quickly, resulting in the increasing of network traffic. In 4G LTE-Advanced networks, there are many low-cost and low-power wireless access points (WAPs), which are randomly distributed Those WAPs provide data access services for a variety of wireless devices. We focus on the spectrum pricing strategy and revenue maximization of the MSP. The main contributions of this paper are as follows: We propose a two-tier network pricing framework to investigate the revenue maximization problem of spectrum leasing in the heterogeneous networks with single macrocell and multiple. The simulation results show that the proposed framework provides effective motivation for the MSP to lease spectrum to FHs and improves the networks’ throughput. Both the MSP and FHs can achieve higher utility with spectrum leasing.
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