M. I. Ashraf, S. Tamoor-ul-Hassan, S. Mumtaz, K. F. Tsang and J. Rodriquez, "Device-to-device assisted mobile cloud framework for 5G networks," 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), Poitiers, 2016, pp. 1020-1023. doi: 10.1109/INDIN.2016.7819312
Device-to-device assisted mobile cloud framework for 5G networks
|Author:||Ashraf, Muhammad Ikram1; Tamoor-ul-Hassan, Syed1; Mumtaz, Shahid2;|
1Centre for Wireless Communications, University of Oulu, Finland
2Instituto de Telecomunicacões, Campus Universitário de Santiago, Aveiro 3810-193, Portugal
3Department of Electronic Engineering, City University of Hong Kong, Hong Kong Special Administrative Region
|Online Access:||PDF Full Text (PDF, 2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080133222
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-01
Due to the upsurge of context-aware and proximity aware applications, device-to-device (D2D) enabled mobile cloud (MC) emerges as next step towards future 5G system. There are many applications for such MC based architecture but mobile data offloading is one of the most prominent one especially for ultra dense wireless networks. The proposed system exploits the short range links to establish a cluster based network between the nearby devices, adapts according to environment and uses various cooperation strategies to obtain efficient utilization of resources. We proposed a novel architecture of MC in which the total coverage area of a eNB is divided into several logical regions (clusters). Furthermore, UEs in the cluster are classified into Primary Cluster Head (PCH), Secondary Cluster Head (SCH) and Standard UEs (UEs). Each cluster is managed by selected PCH and SCH. An algorithm is proposed for the selection of PCH and SCH which is based on signal-to-interference-plus-noise (SINR) and residual energy of UEs. Finally each PCH and SCH distributes data in their respective regions by efficiently utilizing D2D links. Simulation results demonstrate that the proposed D2D-enabled MC based approach yields significantly better gains in terms of data rate and energy efficiency as compared to the classical cellular approach.
IEEE International Conference on Industrial Informatics
|Pages:||1020 - 1023|
2016 IEEE 14th International Conference on Industrial Informatics (INDIN)
International Conference on Industrial Informatics
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by the European Commission H2020 program under grant agreement No. 671705 (SPEED-5G project).
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