Reduced M2M Signaling Communications in 3GPP LTE and Future 5G Cellular Networks
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AuthorAndres-Maldonado, Pilar; Ameigeiras Gutiérrez, Pablo José; Prados-Garzon, Jonathan; Ramos Muñoz, Juan José; López Soler, Juan Manuel
Institute of Electrical and Electronics Engineers (IEEE)
machine to machinesmall data transmissionSDTSDN
P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. J. Ramos-Munoz and J. M. Lopez-Soler, "Reduced M2M signaling communications in 3GPP LTE and future 5G cellular networks," 2016 Wireless Days (WD), 2016, pp. 1-3, doi: 10.1109/WD.2016.7461499.
SponsorshipThis work is partially supported by the Spanish Ministry of Economy and Competitiveness (project TIN2013- 46223-P), FEDER and the Spanish Ministry of Education, Culture and Sport (FPU grant 13/04833).
The increase of machine-to-machine (M2M) communications over cellular networks imposes new requirements and challenges that current networks have to handle with. Many M2M UEs (User Equipment) may send small infrequent data, which suppose a challenge for cellular networks not optimized for such traffic, where signaling load could increase significantly and cause congestion over the network. This paper evaluates current proposals to manage small transmissions over the Long Term Evolution (LTE) cellular network. We also propose a new Random Access-based Small IP packet Transmission (RASIPT) procedure for M2M UEs small data transmissions. Its main feature is data transfer without establishment of Radio Resource Control (RRC) connection to reduce signaling overhead. In our design, we assume a Software Defined Networking-based architecture for 5G system. When compared with current LTE scheme, our procedure reduces significantly the signaling load generated by M2M UEs small transmissions.