Resource Allocation Strategy for Latency Sensitive IoT Traffic
draft-hongcs-t2trg-ras-00

Document Type Active Internet-Draft (individual)
Authors Choong Hong  , Shashi Pandey  , Yan Tun  , Sabah Suhail  , Kitae Kim 
Last updated 2020-10-13
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T2TRG                                               Hong, Choong Seon
Internet-Draft                                   Kyung Hee University
Intended status: Standards Track                   Pandey, Shashi Raj
Expires: August 09, 2021                         Kyung Hee University
                                                        Suhail, Sabah
                                                 Kyung Hee University
                                                        Tun, Yan Kyaw
                                                 Kyung Hee University
                                                           Kim, Kitae
                                                 Kyung Hee University
                                                     October 13, 2020

Resource Allocation Strategy for Latency Sensitive IoT Traffic
                        draft-hongcs-t2trg-ras-00

Abstract

An efficient resource allocation scheme directly affects the overall 
system's network utilization, and notably, the wireless resource such
as bandwidth is itself an expensive commodity. In this regards, to 
address the requirement of massively increased IoT traffic at the 
edge, as a solution approach, a number of small cell base stations 
(SBSs) have been deployed with certain computational capabilities. 
However, it is still limited, and any inappropriate resource 
allocation scheme for the associated nodes with traffic 
characterized by ultra-reliability and low-latency (URLLC) 
requirements can impact the system's resource utilization and 
performance. Considering a reserve resource for such kind of traffic, 
the resource allocation problem in each time slot behaves as a node 
selection problem with contention amongst active nodes for the 
resource. In this paper, we have formulated this as an index problem, 
and with simulation results have shown that the cumulative reward in 
terms of network utility is maximized following this approach.

Status of this Memo

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Hong, et al.          Expires  August 09, 2021                  [Page 1]

Internet-Draft     Resource Allocation for IoT Traffic     October, 2020

This Internet-Draft will expire on August 09, 2021.

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Table of Contents

 1.  Introduction . . . . . . . . . . . . . . . . . . . .. . . . . .  2
        1.1.  Terminology and Requirements Language. . . . . . . . .  2 
 2.  System Model  . . . . . . . . . . . . . . . . . . . . . . . . .2-3
 3.  Problem Formulation . . . . . . . . . . . . . . . . . . . . . .3-5
 4.  Results . . . . . .  . . . . . . .. . . . .  . . . . . . . . . . 6
 5.  IANA Considerations  . . . . . . .. . . . .  . . . . . . . . . . 6
 6.  Security Considerations  . . . . . . . . . . . .  . . .  . . . . 6
 7.  References . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
 7.1.  Normative References . . . . . . . . . . . . . . . . . . . . . 8
 7.2.  Informative References . . . . . .. . . . .  . . . . . . . . 8-9
 Authors' Addresses . . . . . . . . . . . . . . . . . . . . .. . . . 10

1.  Introduction

Radio resources such as bandwidth is considered scare, and
is therefore an expensive utility whose management has been
of a great challenge for the evolution of mobile networks.
On the top of that, traffic with strict latency and reliability
requirements in 5G networks requires an efficient resource
allocation scheme to make it a success [1]. On the other hand,
the massive growth of IoT networks has brought up numerous
challenges while handling such traffic in an effective way [2].

Wireless Network virtualization has emerged as an promising
alternative to manage the wireless resources amongst number
of participating users. It invoked the concept of network
slicing, and flexible allocation of the slices of network resources,
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