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An intelligent resource dynamic allocation method for UAV wireless mobile network which supports QoS
- Source :
- Computer Communications. 152:46-53
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The development of Unmanned Aerial Vehicle (UAV) business requires that the wireless mobile network can provide the highest possible data rate with limited wireless resources and harsh channel environment, while ensuring the requirements of different quality of service (QoS). The present algorithm only considers one or two spatial sub channels with the maximum eigenvalue, and does not consider how to satisfy multiple requirements with limited resources, nor does it consider the problem of admission control. In order to solve the above problems, this paper proposes an intelligent resource dynamic allocation method based on QoS. In this paper, resources are managed effectively through resource reservation mechanism and selective QoS adjustment mechanism. Then, all non-zero eigenvalue space sub channels are used for data transmission to maximize channel capacity under the condition that the total transmission power is limited and user QoS requirements are met. The simulation results show that the algorithm can effectively improve the throughput of the system by making full use of multi-user diversity on the basis of satisfying the QoS requirements of users.
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
Quality of service
020206 networking & telecommunications
Throughput
02 engineering and technology
Admission control
Resource (project management)
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Wireless
020201 artificial intelligence & image processing
business
Computer network
Communication channel
Data transmission
Subjects
Details
- ISSN :
- 01403664
- Volume :
- 152
- Database :
- OpenAIRE
- Journal :
- Computer Communications
- Accession number :
- edsair.doi...........9eea9eb09aa04667ee23048c3d758745
- Full Text :
- https://doi.org/10.1016/j.comcom.2020.01.032