Access optimization for machine-type communication with bursty uplink random access in cellular networks

doi:10.7523/j.issn.2095-6134.2016.05.014

Abstract

Abstract:

Machine-to-machine (M2M) communication is one of the major drivers in the cellular network evolution towards 5G system. A major problem is the access congestion since massive machine type communication devices (MTCDs) initiate random access simultaneously. To increase the access success probability we divide the preamble source and distinguish new MTCDs from backlog MTCDs to reduce the estimation error.We use ACB (access class barring) strategy to optimize the number of access attempt MTCDs. Simulation results show that the proposed optimization scheme increases the access success probability while decreases the access delay.

Key words: machine to machine communication, preamble division, ACB, access optimization

CLC Number:

TN929.5

XUE Tao, QIU Ling. Access optimization for machine-type communication with bursty uplink random access in cellular networks[J]. , 2016, 33(5): 669-673.

References

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