DocumentCode
3605033
Title
An Enhanced Random Access Scheme With Spatial Group Based Reusable Preamble Allocation in Cellular M2M Networks
Author
Taehoon Kim ; Han Seung Jang ; Dan Keun Sung
Author_Institution
Coll. of Eng., KAIST, Daejeon, South Korea
Volume
19
Issue
10
fYear
2015
Firstpage
1714
Lastpage
1717
Abstract
In the near future, cellular machine-to-machine (M2M) communications are expected to play an important role to realize the Internet of Things (IoT). Due to the exponentially growing number of machine nodes, however, one of challenging issues is to accommodate their random access (RA) requests without severely degrading the performance of human-to-human (H2H) communications. In this letter, we propose an enhanced RA scheme with spatial group based reusable preamble allocation (ERA-SGRPA), which reuses the preamble resources based on a spatial grouping during the RA procedure. By allocating the identical preamble set to the groups which are far apart from each other, the ERA-SGRPA scheme enables the given preamble set to be efficiently reused. The performance evaluation shows that the ERA-SGRPA scheme significantly lowers the collision probability and reduces the access delay and can accommodate a significantly larger number of machine nodes without degrading the performance of H2H communications.
Keywords
Internet of Things; cellular radio; multi-access systems; probability; resource allocation; synchronisation; ERA-SGRPA scheme; H2H communications; Internet of Things; IoT; access delay; cellular M2M Networks; collision probability; enhanced random access scheme; human-to-human communications; machine nodes; machine-to-machine communications; preamble resources; reusable preamble allocation; spatial group; Delays; Indexes; Joints; Optimization; Propagation delay; Resource management; Uplink; Machine-to-machine; cellular networks; group; preamble reuse; random access;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2015.2473860
Filename
7226813
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