Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21–23, 2015, Revised Selected Papers

Research Article

On the Way to Massive Access in 5G: Challenges and Solutions for Massive Machine Communications

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  • @INPROCEEDINGS{10.1007/978-3-319-24540-9_58,
        author={Konstantinos Chatzikokolakis and Alexandros Kaloxylos and Panagiotis Spapis and Nancy Alonistioti and Chan Zhou and Josef Eichinger and \O{}mer Bulakci},
        title={On the Way to Massive Access in 5G: Challenges and Solutions for Massive Machine Communications},
        proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers},
        proceedings_a={CROWNCOM},
        year={2015},
        month={10},
        keywords={5G Group-based communications Machine type communication Massive connectivity Random access channel},
        doi={10.1007/978-3-319-24540-9_58}
    }
    
  • Konstantinos Chatzikokolakis
    Alexandros Kaloxylos
    Panagiotis Spapis
    Nancy Alonistioti
    Chan Zhou
    Josef Eichinger
    Ömer Bulakci
    Year: 2015
    On the Way to Massive Access in 5G: Challenges and Solutions for Massive Machine Communications
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-24540-9_58
Konstantinos Chatzikokolakis1,*, Alexandros Kaloxylos2,*, Panagiotis Spapis2,*, Nancy Alonistioti1,*, Chan Zhou2,*, Josef Eichinger2,*, Ömer Bulakci2,*
  • 1: National and Kapodistrian University of Athens
  • 2: Huawei European Research Center
*Contact email: kchatzi@di.uoa.gr, alexandros.kaloxylos@huawei.com, panagiotis.spapis@huawei.com, nancy@di.uoa.gr, chan.zhou@huawei.com, joseph.eichinger@huawei.com, oemer.bulakci@huawei.com

Abstract

Machine Type Communication (MTC) is expected to play a significant role in fifth generation (5G) wireless and mobile communication systems. The requirements of such type of communication mainly focus on scalability (i.e., number of supported end-devices) and timing issues. Since existing cellular systems were not designed to support such vast number of devices, it is expected that they will throttle the limited network resources. In this paper, we introduce an effective solution for handling the signalling bottlenecks caused by massive machine communications in future 5G systems. The proposed approach is based on a device classification scheme using the devices’ requirements and position for forming groups of devices with the same or similar device characteristics. Our scheme is analysed, and the evaluation results indicate that the proposed solution yields significant reduction in collisions compared to the standard when MTC devices attempt to access the Random Access CHannel (RACH).