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Conference Paper: Renewables Powered Mobile Cloud Offloading
| Title | Renewables Powered Mobile Cloud Offloading |
|---|---|
| Authors | |
| Issue Date | 2014 |
| Citation | The 48th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, 2-5 November 2014. In the Final Program & Abstracts of the 48th Asilomar Conference on Signals, Systems, and Computers, 2014
, p. 78, abstract no. TP4b-4 How to Cite? |
| Abstract | The paper considers cloud radio access networks with renewables powered mobiles. Offloading computation-intensive tasks from mobiles to the cloud can improve their computation capability and reduce energy consumption. Nevertheless, offloading also consumes energy for transmission. Given this tradeoff, it is critical to optimize the offloading process based on the states of the channel, energy and computation tasks so as to cope with energy intermittence and maximize the battery life. In this paper, mobile offloading is formulated as a Markov decision process based on multiple Markov chains modeling the random energy arrivals, dynamic computation tasks and wireless channel. The structure of the optimal policy is analyzed using stochastic optimization theory. Furthermore, the fundamental gains of mobile offloading in terms of computation capability and battery life are quantified. |
| Description | Track A – Communications Systems Session: TPb4 – Energy Harvesting Wireless Communications |
| Persistent Identifier | http://hdl.handle.net/10722/203992 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huang, K | en_US |
| dc.date.accessioned | 2014-09-19T20:01:24Z | - |
| dc.date.available | 2014-09-19T20:01:24Z | - |
| dc.date.issued | 2014 | en_US |
| dc.identifier.citation | The 48th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, 2-5 November 2014. In the Final Program & Abstracts of the 48th Asilomar Conference on Signals, Systems, and Computers, 2014 , p. 78, abstract no. TP4b-4 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/203992 | - |
| dc.description | Track A – Communications Systems | - |
| dc.description | Session: TPb4 – Energy Harvesting Wireless Communications | - |
| dc.description.abstract | The paper considers cloud radio access networks with renewables powered mobiles. Offloading computation-intensive tasks from mobiles to the cloud can improve their computation capability and reduce energy consumption. Nevertheless, offloading also consumes energy for transmission. Given this tradeoff, it is critical to optimize the offloading process based on the states of the channel, energy and computation tasks so as to cope with energy intermittence and maximize the battery life. In this paper, mobile offloading is formulated as a Markov decision process based on multiple Markov chains modeling the random energy arrivals, dynamic computation tasks and wireless channel. The structure of the optimal policy is analyzed using stochastic optimization theory. Furthermore, the fundamental gains of mobile offloading in terms of computation capability and battery life are quantified. | en_US |
| dc.language | eng | en_US |
| dc.relation.ispartof | Asilomar Conference on Signals, Systems, and Computers | en_US |
| dc.title | Renewables Powered Mobile Cloud Offloading | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Huang, K: huangkb@eee.hku.hk | en_US |
| dc.identifier.authority | Huang, K=rp01875 | en_US |
| dc.identifier.hkuros | 235689 | en_US |
| dc.identifier.hkuros | 233124 | - |
| dc.identifier.spage | 78, abstract no. TP4b-4 | - |
| dc.identifier.epage | 78, abstract no. TP4b-4 | - |