Name
Title | ||
|---|---|---|
Signaling Overhead-Constrained Throughput Optimization for 5G Packet-Based Random Access with mMTC |
Abstract | ||
|---|---|---|
To reduce the signaling overhead for sporadic small packet transmission in massive Machine Type Communications (mMTC), Packet-Based Random Access (PBRA) scheme is introduced in SG system, where devices can transmit data packets in the random access procedure without connection establishment. Yet, even with PBRA, the signaling overhead may surge if the system parameters are configured improperly. This paper aims to address this issue by studying how to tune the Access Class Barring (ACB) factor to maximize the throughput while maintaining the signaling-to-throughput ratio below a certain level. Explicit expressions of maximum throughput and the corresponding optimal ACB factor in saturated and unsaturated cases are derived. It reveals that with a demanding requirement on signaling-to-throughput ratio, the throughput performance has to be sacrificed even with optimal tuning of ACB factor. To boost the throughput performance, the system should either loose the signaling constraint or enlarge the packet length. The analysis is verified by simulations and sheds important light on practical SG network design for supporting mMTC with PBRA. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/GLOBECOM46510.2021.9685888 | 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) |
Keywords | DocType | ISSN |
Machine type communications, Packet-based Random access, Signaling overhead, Throughput, Optimization | Conference | 2334-0983 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiwen Liang | 1 | 0 | 0.34 |
| Wen Zhan | 2 | 19 | 5.01 |
| Xinghua Sun | 3 | 90 | 11.38 |
| Kai Xie | 4 | 0 | 0.34 |
| Xiang Chen | 5 | 190 | 25.05 |