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Spectrum Trading: An Abstracted Bibliography
This document contains a bibliographic list of major papers on spectrum
trading and their abstracts. The aim of the list is to offer researchers
entering this field a fast panorama of the current literature. The list is
continually updated on the webpage
\url{http://www.disp.uniroma2.it/users/naldi/Ricspt.html}. Omissions and papers
suggested for inclusion may be pointed out to the authors through e-mail
(\textit{[email protected]})
NOMA based resource allocation and mobility enhancement framework for IoT in next generation cellular networks
With the unprecedented technological advances witnessed in the last two decades, more devices are connected to the internet, forming what is called internet of things (IoT). IoT devices with heterogeneous characteristics and quality of experience (QoE) requirements may engage in dynamic spectrum market due to scarcity of radio resources. We propose a framework to efficiently quantify and supply radio resources to the IoT devices by developing intelligent systems. The primary goal of the paper is to study the characteristics of the next generation of cellular networks with non-orthogonal multiple access (NOMA) to enable connectivity to clustered IoT devices. First, we demonstrate how the distribution and QoE requirements of IoT devices impact the required number of radio resources in real time. Second, we prove that using an extended auction algorithm by implementing a series of complementary functions, enhance the radio resource utilization efficiency. The results show substantial reduction in the number of sub-carriers required when compared to conventional orthogonal multiple access (OMA) and the intelligent clustering is scalable and adaptable to the cellular environment. Ability to move spectrum usages from one cluster to other clusters after borrowing when a cluster has less user or move out of the boundary is another soft feature that contributes to the reported radio resource utilization efficiency. Moreover, the proposed framework provides IoT service providers cost estimation to control their spectrum acquisition to achieve required quality of service (QoS) with guaranteed bit rate (GBR) and non-guaranteed bit rate (Non-GBR)
Asymmetric-valued Spectrum Auction and Competition in Wireless Broadband Services
We study bidding and pricing competition between two spiteful mobile network
operators (MNOs) with considering their existing spectrum holdings. Given
asymmetric-valued spectrum blocks are auctioned off to them via a first-price
sealed-bid auction, we investigate the interactions between two spiteful MNOs
and users as a three-stage dynamic game and characterize the dynamic game's
equilibria. We show an asymmetric pricing structure and different market share
between two spiteful MNOs. Perhaps counter-intuitively, our results show that
the MNO who acquires the less-valued spectrum block always lowers his service
price despite providing double-speed LTE service to users. We also show that
the MNO who acquires the high-valued spectrum block, despite charing a higher
price, still achieves more market share than the other MNO. We further show
that the competition between two MNOs leads to some loss of their revenues. By
investigating a cross-over point at which the MNOs' profits are switched, it
serves as the benchmark of practical auction designs
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