User Centric Assignment and Partial Task Offloading for Mobile Edge Computing in Ultra-Dense Networks
draft-hongcs-t2trg-ucapto-00

Document Type Active Internet-Draft (individual)
Authors Choong Hong  , Chit Zaw  , Seok Kang 
Last updated 2020-10-15
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T2TRG                                               Hong, Choong Seon
Internet-Draft                                   Kyung Hee University
Intended status: Standards Track                      Chit Wutyee Zaw
Expires: August 09, 2022                         Kyung Hee University
                                                       Kang, Seok Won
                                                 Kyung Hee University
                                                        October  2020

User Centric Assignment and Partial Task Offloading for Mobile Edge
Computing in Ultra-Dense Networks
                        draft-hongcs-t2trg-ucapto-00

Abstract

By collocating servers at base stations, Mobile Edge Computing (MEC) 
provides low latency to users for real time applications such as 
Virtual Reality and Augmented Reality. To satisfy the growing demand 
of users, base stations are deployed densely in highly populated 
areas. Coordinated Multipoint Transmission (CoMP) allows users to 
connect to multiple base stations simultaneously. In ultra-dense 
networks, by offloading the partials of tasks to different base 
stations, users can achieve lower latency and utilize the computation 
ability of the surrounding base stations. To control the signaling 
overhead, the number of base stations that can be connected should be 
limited. In this paper, we propose a user-centric base station 
assignment algorithm by considering the possible load of base 
stations. Moreover, a partial task offloading algorithm is proposed 
to utilize the computation of under-loaded base stations. Resource 
allocation is then solved by convex optimization.

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Hong, et al.          Expires  August 09, 2022                 [Page 1]

Internet-Draft          Task Offloading for MEC             October 2020

This Internet-Draft will expire on August 09, 2020.

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Table of Contents

 1.  Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 1
      1.1.  Terminology and Requirements Language . . . . . . . . . . 2
 2.  System Model . . . . . . . . . . . . . . . . . . . . . . . . . . 2
 3.  Problem Formulation. . . . . . . . . . . . . . . . . . . . . . . 3
 4.  User-centric Assignment and Partial Offloading . . . . . . . . . 3
        4.1. User-centric Assignment. . . . . . . . . . . . . . . . . 3
        4.2. Partial Offloading . . . . . . . . . . . . . . . . . . . 4
        4.3. Radio Resource Allocation. . . . . . . . . . . . . . . . 4
 5.  Results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
 6.  IANA Considerations. . . . . . . . . . . . . . . . . . . . . . . 5
 7.  Security Considerations  . . . . . . . . . . . . . . . . . . . . 5
 8.  References . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
 8.1.  Normative References . . . . . . . . . . . . . . . . . . . . . 5
 8.2.  Informative References . . . . . . . . . . . . . . . . . . . . 6
 Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . . 6

1.  Introduction

Mobile Edge Computing (MEC) has been an interesting topic in both 
academia and industry for its ability to provide low latency and high 
computation to users by setting up severs near to users. Computation 
and latency intensive applications requires users to offload their tasks 
to servers to achieve the minimum delay and maintain the energy of 
users’ devices. In densely deployed networks, users can utilize the 
resources of nearby base stations (BS) by offloading partials of their 
tasks with the technology provided by Coordinated Multipoint 
Transmission (CoMP).
Despite the advantages that MEC brings, there are many challenges to 
tackle in MEC which are pointed out in [1]. The communication aspect is 
surveyed in [2] where authors considered joint management of radio and 
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