Name
Abstract | ||
|---|---|---|
It's a primary challenge to support massive machine-type devices to access in LTE-A networks. Surging random access attempts will result in severe congestion to the network. Access Class Barring (ACB) scheme is a critical barring scheme proposed by 3GPP to control access attempts to alleviate the overload for the LTE-A networks. Most existing ACB schemes just consider the ideal case and ignore the effects of radio channels while setting the ACB factors. In this paper, we propose a load-aware Access Class Barring (ACB) scheme to predict access load and adjust the barring factor dynamically, which take into account the effects of radio channels. We improve two load prediction methods. Based on the prediction, we propose a method to adjust the barring factor as the predicted traffic load varies. The simulations results demonstrate that our proposed load-aware scheme efficiently outperforms the traditional ACB scheme in access success performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-49106-6_7 | ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS |
Field | DocType | Volume |
Traffic load,Computer science,Computer network,Communication channel,Distributed computing,LTE Advanced,Random access | Conference | 2 |
ISSN | Citations | PageRank |
2367-4512 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijun Song | 1 | 0 | 0.68 |
| Wenan Zhou | 2 | 50 | 19.20 |
| Yanjun Hou | 3 | 1 | 1.02 |
| Mengyu Gao | 4 | 0 | 0.68 |