User Centric Assignment and Partial Task Offloading for Mobile Edge Computing in Ultra-Dense Networks
draft-hongcs-chit-mec-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|---|---|---|---|
| Authors | Choong Seon Hong , Chit Wutyee Zaw , Seok Won Kang | ||
| Last updated | 2021-04-17 (Latest revision 2020-10-14) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
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.
Authors
Choong Seon Hong
Chit Wutyee Zaw
Seok Won Kang
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)