Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Expand the Range of Traffic Offloading with Multi-Hop D2D Communication

Authors
Xuewen Yan, Chao Dong, Yuben Qu
Corresponding Author
Xuewen Yan
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.10How to use a DOI?
Keywords
Multi-hop D2D; Traffic Offloading; Load Fairness.
Abstract
Device-to-device (D2D) communication is a promising technique for traffic offloading in next-generation cellularsystems, in response to the sharp increase in traffic and unevendistribution. In this paper, in the case of meeting the user’s delay, we propose a multi-hop D2D traffic offloading scheme to expand the range of traffic offloading. In consideration of the load balancing problem, we introduce load fairness of Base Stations to restraint the traffic that is offloaded to each BS. And, based on the constraints of delay and fairness, we formulate an optimization model that maximizes the range of offloading. We also proposed joint algorithm to achieve traffic offloading. And simulation results show that our scheme can further expand the range of traffic offloading under the condition of ensuring load fairness.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuewen Yan
AU  - Chao Dong
AU  - Yuben Qu
PY  - 2018/12
DA  - 2018/12
TI  - Expand the Range of Traffic Offloading with Multi-Hop D2D Communication
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.10
DO  - https://doi.org/10.2991/tlicsc-18.2018.10
ID  - Yan2018/12
ER  -