Name
Title | ||
|---|---|---|
Distributive Throughput Optimization For Massive Random Access Of M2m Communications In Lte Networks |
Abstract | ||
|---|---|---|
Machine-to-machine (M2M) communications, which aims to enable autonomous communication between machine devices with minimum human intervention, have experienced remarkable growth over the past few years. In massive M2M communications, random access (RA) collision is one of the critical problems at the network entry stage. To alleviate the channel contention during the network access stage, most existing RA solutions for M2M communications need the base station (BS) to determine backoff parameters, whose optimal values are hard to obtain and would also incur substantial signaling overhead, especially in dense scenarios. To address this issue, a distributive approach is highly desirable. In this paper, a new method for distributive estimation of optimal backoff parameters is proposed. Specifically, each machine type device (MTD) only needs to observe their own successful and total transmissions of access requests during an estimation interval, after which each MTD can obtain an estimation of the optimal backoff parameters according to an explicit expression of the observed statistics. It is found that the estimation interval determines the performance of the proposed scheme. When the number of MTDs in the network does not change or varies slowly, the network throughput can be maximized if the estimation interval is chosen properly. Compared to existing centralized methods, the proposed method can achieve similar performance with much lower signaling overhead. The proposed scheme can be applied for both homogeneous and heterogeneous scenarios and provide a practical access design method for M2M communications. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVT.2020.3019814 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
Keywords | DocType | Volume |
Machine-to-machine communications, Internet-of-Things, random access, distributive throughput optimization | Journal | 69 |
Issue | ISSN | Citations |
10 | 0018-9545 | 1 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changwei Zhang | 1 | 4 | 1.40 |
| Xinghua Sun | 2 | 14 | 2.75 |
| Jun Zhang | 3 | 95 | 11.09 |
| Xianbin Wang | 4 | 2365 | 223.86 |
| Shi Jin | 5 | 3744 | 274.70 |
| Hongbo Zhu | 6 | 367 | 85.53 |