A Coalitional Model Predictive Control Approach for Heterogeneous Cellular Networks
| Autor: | José M. Maestre, Eva Masero, Luis Alejandro Fletscher |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Quality of service Distributed computing 020206 networking & telecommunications 02 engineering and technology Energy consumption Network topology Grid 7. Clean energy Model predictive control 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Cellular network Performance indicator Heterogeneous network |
| Zdroj: | ECC 2020 European Control Conference (ECC) |
| DOI: | 10.23919/ecc51009.2020.9143643 |
| Popis: | Heterogeneous cellular networks (HetNets) are large-scale systems that comprise numerous base stations interacting with a significant number of users of diverse types. Finding a trade-off between energy consumption and quality of service is one of the major challenges in these networks. To deal with this issue, a coalitional model predictive control (MPC) approach is proposed for a HetNet powered by renewable power sources, and compared in simulation with the traditional best-signal level mechanism and the centralized MPC method. Furthermore, other key performance indicators associated with grid consumption such as the number of served users and transmission rates are also evaluated. |
| Databáze: | OpenAIRE |
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