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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Suyang Duan Shah-Mansouri, V. Wong, V.W.S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran (Shah-Mansouri, V.) || Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada (Suyang Duan; Wong, V.W.S.) |
| Abstract | When incorporating machine-to-machine (M2M) communications into Long Term Evolution (LTE) networks, one of the challenges is the traffic overload due to a large number of machine type communications (MTC) devices with bursty traffic. One approach to tackle this problem is to use the access class barring (ACB) mechanism to regulate the opportunity of MTC devices to transmit request packets. In this paper, we first present an analytical model to determine the expected total access delay of all the MTC devices. For the ideal case that the LTE base station (eNodeB) knows the number of backlogged users, we determine the optimal value of the ACB factor, which can best reduce the congestion and access delay. For the practical scenario, we propose a heuristic algorithm to adaptively change the ACB factor without the knowledge of the number of backlogged users. Results show that the proposed heuristic algorithm achieves near optimal performance in reducing access delay. |
| Starting Page | 4747 |
| Ending Page | 4752 |
| File Size | 216464 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479928514 |
| DOI | 10.1109/GLOCOMW.2013.6855701 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Wireless communication Analytical models Heuristic algorithms Nickel Vectors Long Term Evolution |
| Content Type | Text |
| Resource Type | Article |
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