Biologically Inspired Two-Stage Resource Management for Machine-Type Communications in Cellular Networks
| Autor: | Zebing Feng, T. Aaron Gulliver, Zhiyong Feng |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry Applied Mathematics Quality of service 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Partition (database) Computer Science Applications 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Cellular network Resource allocation Wireless Resource management Electrical and Electronic Engineering business Computer network Data transmission |
| Zdroj: | IEEE Transactions on Wireless Communications. 16:5897-5910 |
| ISSN: | 1536-1276 |
| DOI: | 10.1109/twc.2017.2717401 |
| Popis: | Cellular technology has the potential to support large numbers of machine-type communications (MTC) devices for a variety of applications in fifth generation wireless systems. As MTC devices are a recent addition to cellular networks, a major concern is how to effectively manage and limit cellular resources for MTC data transmission without degrading traditional human-type communications (HTC) performance. To tackle this problem, a two-stage resource management framework is proposed with the goal of maintaining traffic equilibrium. In the first stage, an ecological prey-predator model is introduced to model the resource partition for the two types of devices. The steady-state properties of the traffic are analyzed, and the value regions of the allocated MTC resources for stable equilibrium points are derived. In the second stage, given an appropriate resource partition for MTC traffic, these devices are grouped based on their buffer conditions. The optimal resource allocation solution is derived so that the MTC traffic is stable. It is shown that to maintain MTC traffic stability, the resources can be allocated to only two groups. Furthermore, results are presented which show that HTC and MTC traffic can maintain a stable equilibrium using the two-stage resource management framework. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|