Abstract
Deployment of massive machine-to-machine (M2M) user equipments (UEs) in the current cellular network may cause overload in the radio access network (RAN). Access class barring (ACB) is an effective solution for reducing the RAN overload. In this letter, we propose an extended random access (RA) scheme to increase access success probability of M2M UEs by efficient use of available uplink radio resources. The proposed scheme allocates the available radio resources to the access-attempting UEs in two stages. In the first stage, the evolved node B (eNB) grants the available uplink resources to the UEs that have passed the ACB check. Then in the second stage, UEs that did not pass the ACB check utilize the remained unscheduled resources from the first stage. Simulation results show that the proposed scheme increases the number of successful requests and decreases the total service time of a traffic burst.
| Original language | English |
|---|---|
| Article number | 7426790 |
| Pages (from-to) | 982-985 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 20 |
| Issue number | 5 |
| Early online date | 7 Mar 2016 |
| DOIs | |
| Publication status | Published - 6 May 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Machine-to-machine communication
- RAN overload
- Random access
ASJC Scopus subject areas
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering