Paper Info
Title
Multi-Operator Spectrum Sharing for Massive IoT Coexisting in 5G/B5G Wireless Networks
Abstract
With a massive number of Internet-of-Things (IoT) devices connecting with the Internet via 5G or beyond 5G (B5G) wireless networks, how to support massive access for coexisting cellular users and IoT devices with quality-of-service (QoS) guarantees over limited radio spectrum is one of the main challenges. In this paper, we investigate the multi-operator dynamic spectrum sharing problem to support the coexistence of rate guaranteed cellular users and massive IoT devices. For the spectrum sharing among mobile network operators (MNOs), we introduce a wireless spectrum provider (WSP) to make spectrum trading with MNOs through the Stackelberg pricing game. This framework is inspired by the active radio access network (RAN) sharing architecture of 3GPP, which is regarded as a promising solution for MNOs to improve the resource utilization and reduce deployment and operation cost. For the coexistence of cellular users and IoT devices under each MNO, we propose the coexisting access rules to ensure their QoS and the priority of cellular users. In particular, we prove the uniqueness of the Stackelberg equilibrium (SE) solution, which can maximize the payoffs of MNOs and WSP simultaneously. Moreover, we propose an iterative algorithm for the Stackelberg pricing game, which is proved to achieve the unique SE solution. Extensive numerical simulations demonstrate that, the payoffs of WSP and MNOs are maximized and the SE solution can be reached. Meanwhile, the proposed multi-operator dynamic spectrum sharing algorithm can support more than almost 40% IoT devices compared with the existing no-sharing method, and the gap is less than about 10% compared with the exhaustive method.
Year
DOI
Venue
2021
10.1109/JSAC.2020.3018803
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
5G/B5G,IoT devices,cellular users,spectrum sharing,Stackelberg pricing game,massive access
Journal
39
Issue
ISSN
Citations 
3
0733-8716
9
PageRank 
References 
Authors
0.45
0
6
Name
Order
Citations
PageRank
Bo Qian1264.48
Haibo Zhou220314.10
Ting Ma3112.51
Kai Yu4112.51
Quan Yu524123.72
Xuemin Shen615389928.67