Wang, Kezhi and Huang, Pei-Qiu and Yang, Kun and Pan, Cunhua and Wang, Jiangzhou (2019) Unified Offloading Decision Making and Resource Allocation in ME-RAN. IEEE Transactions on Vehicular Technology, 68 (8). pp. 8159-8172. DOI https://doi.org/10.1109/tvt.2019.2926513
Wang, Kezhi and Huang, Pei-Qiu and Yang, Kun and Pan, Cunhua and Wang, Jiangzhou (2019) Unified Offloading Decision Making and Resource Allocation in ME-RAN. IEEE Transactions on Vehicular Technology, 68 (8). pp. 8159-8172. DOI https://doi.org/10.1109/tvt.2019.2926513
Wang, Kezhi and Huang, Pei-Qiu and Yang, Kun and Pan, Cunhua and Wang, Jiangzhou (2019) Unified Offloading Decision Making and Resource Allocation in ME-RAN. IEEE Transactions on Vehicular Technology, 68 (8). pp. 8159-8172. DOI https://doi.org/10.1109/tvt.2019.2926513
Abstract
In order to support communication and computation cooperation, we propose a mobile edge cloud-radio access network (ME-RAN) architecture, which consists of mobile edge cloud (ME) as the computation provision platform and radio access network (RAN) as the communication interface. A cooperative offloading framework is proposed to achieve the following tasks: first, to increase user equipment' (UE') computing capacity by triggering offloading action, especially for the UE, which cannot complete the computation locally; second, to reduce the energy consumption for all the UEs by considering limited computing and communication resources. Based on abovementioned objectives, we formulate the energy consumption minimization problem, which is shown to be a non-convex mixed-integer programming. First, decentralized local decision algorithm is proposed for each UE to estimate the possible local resource consumption and decide if offloading is in its interest. This operation will reduce the overhead and signalling in the later stage. Then, centralized decision and resource allocation algorithm (CAR) is proposed to conduct the decision making and resource allocation in ME-RAN. Moreover, two low-complexity algorithms, i.e., UE with largest saved energy consumption accepted first (CAR-E) and UE with smallest required data rate accepted first (CAR-D) are proposed. Simulations show that the performance of the proposed algorithms is very close to the exhaustive search but with much less complexity.
Item Type: | Article |
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Uncontrolled Keywords: | Communication and computation cooperation; unified offloading decision making; resource allocation; ME-RAN; mobile edge computing |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 Mar 2020 18:10 |
Last Modified: | 30 Oct 2024 16:20 |
URI: | http://repository.essex.ac.uk/id/eprint/26889 |
Available files
Filename: unified.pdf