Abstract
This paper studies the cloud offloading gains of using heterogeneous enhanced remote radio heads (eRRHs) and dual-interface clients in fog radio access networks (F-RANs). First, the cloud offloading problem is formulated as a collection of independent sets selection problem over a network coding graph, and its NP-hardness is shown. Therefore, a computationally simple online heuristic algorithm is proposed, that maximizes cloud offloading by finding an efficient schedule of coded file transmissions from the eRRHs and the cloud base station (CBS). Furthermore, a lower bound on the average number of required CBS channels to serve all clients is derived. Simulation results show that our proposed framework that uses both network coding and a heterogeneous F-RAN setting enhances cloud offloading as compared to conventional homogeneous F-RANs with network coding.
Original language | English (US) |
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Title of host publication | 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781509059355 |
DOIs | |
State | Published - Jul 2 2017 |
Event | 86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: Sep 24 2017 → Sep 27 2017 |
Publication series
Name | IEEE Vehicular Technology Conference |
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Volume | 2017-September |
ISSN (Print) | 1550-2252 |
Conference
Conference | 86th IEEE Vehicular Technology Conference, VTC Fall 2017 |
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Country/Territory | Canada |
City | Toronto |
Period | 09/24/17 → 09/27/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Dual interface.
- Enhanced remote radio head
- F-RANs
- Network coding
ASJC Scopus subject areas
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Science Applications