Abstract
Cloud radio access network (C-RAN) and mobile edge computing (MEC) have emerged as promising candidates for the next generation access network techniques. Unfortunately, although MEC tries to utilize the highly distributed computing resources in close proximity to user equipments equipments (UE), C-RAN suggests to centralize the baseband processing units (BBU) deployed in radio access networks. To better understand and address such a conflict, this paper closely investigates the MEC task offloading control in C-RAN environments. In particular, we focus on perspective of matching problem. Our model smartly captures the unique features in both MEC and C-RAN with respect to communication and computation efficiency constraints. We divide the cross-layer optimization into the following three stages: (1) matching between remote radio heads (RRH) and UEs, (2) matching between BBUs and UEs, and (3) matching between mobile clones (MC) and UEs. By applying the Gale-Shapley Matching Theory in the duplex matching framework, we propose a multi-stage heuristic to minimize the refusal rate for user's task offloading requests. Trace-based simulation confirms that our solution can successfully achieve near-optimal performance in such a hybrid deployment.
Original language | English (US) |
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Title of host publication | Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 |
Editors | Kisung Lee, Ling Liu |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2258-2263 |
Number of pages | 6 |
ISBN (Electronic) | 9781538617915 |
DOIs | |
State | Published - Jul 13 2017 |
Event | 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States Duration: Jun 5 2017 → Jun 8 2017 |
Publication series
Name | Proceedings - International Conference on Distributed Computing Systems |
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Other
Other | 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 |
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Country/Territory | United States |
City | Atlanta |
Period | 6/5/17 → 6/8/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Cloud Radio Access Network
- Computation Offloading
- Mobile Edge Computing
- Offloading Control