Resource Sharing in Virtualized Wireless Networks: A Two-Layer Game Approach
draft-hongcs-t2trg-rsvwm-00

Document Type Active Internet-Draft (individual)
Authors Choong Hong  , Yan Tun  , Kitae Kim  , Seok Kang  , Shashi Pandey 
Last updated 2020-10-13
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T2TRG                                                      Hong, Choong Seon                                       
Internet-Draft                                        Kyung Hee University
Intended status: Standards Track                   Tun, Yan Kyaw
Expires: December 09, 2022                     Kyung Hee University 
                                Shashi Raj Pandey
                                 Kyung Hee University
                                                               Kim, Ki Tae 
                                                          Kyung Hee University
                                                               Kang, Seok Won
                                                          Kyung Hee University
                                                                   October 2020
                                                                 
                                      

Resource Sharing in Virtualized Wireless Networks: 
             A Two-Layer Game Approach
                                    draft-hongcs-t2trg-rsvwm-00

Abstract

Wireless network virtualization is one of the auspicious 
approach to address the increasing 
demand of mobile data services. It enables logically decoupling
the traditional cellular network into infrastructure providers
(InPs) and mobile virtual network operators (MVNOs). It also
offers a virtualized wireless network (VWN), efficient resource
utilization, and isolation between network slices (i.e., MVNOs). In
this paper, we consider wireless network slicing for 
a single InP
who owns radio resources and multiple MVNOs who need radio
resources to provide specific services to their mobile users. One
of the challenges in wireless network slicing is how to 
efficiently allocate the limited radio resources available at the 
InP to the MVNOs. In this paper, we address 
the problem of efficient allocation of the InP radio 
resources to the MVNOs which aims to maximize the 
total network capacity of the InP. To this end, 
we decompose our considered problem into two phases. The
first phase is an efficient allocation of the InP radio 
resources (bandwidth) to the MVNOs, and the second phase 
is an optimal allocation of MVNOs resources gained from 
the InP to their mobile users. We then propose 
a Generalized Kelly Mechanism framework and the Karush-Kuhn-
Tucker (KKT) conditions to solve the first and the 
second phase of our resource allocation problem, respectively.

Hong, et al.          Expires  December 09, 2022                [Page 1]
Internet-Draft      Resource Management                   October 2020

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Hong, et al.          Expires  December 09, 2022                [Page 2]
Internet-Draft      Resource Management                October 2020

This Internet-Draft will expire on December 09, 2022.

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Table of Contents
1.  Introduction . . . . . . . . . . . . . . . . . . . .. . . . . . 3
2.  Main Idea  . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.  IANA Considerations  . . . . . . .. . . . .  . . . . . . . . . . 5
4.  Security Considerations  . . . . . . . . . . . .  . . .  . . . .5
5.  References . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
5.1. Normative References . . . . . . . . . . . . . . . . . . . 6
5.2. Informative References . . . . . . . . . . . . . . . . . . 6
 Authors' Addresses . . . . . . . . . . . . . . . . . . . . .. . . . 7

1.  Introduction

Mobile network operators (MNOs) reduce the capital expenditure 
(CAPEX) and operational expenditure (OPEX) by slicing physical radio
resources and base station (BS) hardware [a]. 
It is also a promising approach to address the issues
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