Abstract
Next-generation cellular networks are large-scale systems composed of numerous base stations interacting with many diverse users. One of the main challenges with these networks is their high energy consumption due to the expected number of connected devices. We handle this issue with a coalitional Model Predictive Control (MPC) technique for the case of next-generation cellular networks powered by renewable energy sources. The proposed coalitional MPC approach is applied to two simulated scenarios and compared with other control methods: the traditional best-signal level mechanism, a heuristic algorithm, and decentralized and centralized MPC schemes. The success of the coalitional strategy is considered from an energy efficiency perspective, which means reducing on-grid consumption and improving network performance (e.g., number of users served and transmission rates).
Highlights
Large-scale systems such as telecommunication networks and power systems are comprised of numerous lower-dimensional subsystems that inter-operate to achieve a common goal
There are significant differences between the current article and the conference paper: (i) the conference version does not include the large scenario with 37 Base Stations (BSs), which represents the complexity of real problems; (ii) we present here new, improved methods for the selection of topology; (iii) a more realistic internal model for the controller is used that only considers user transfer between neighboring base stations; (iv) several refinements in the main algorithm are introduced in the current version; and (v) the experiments here performed are new and include the previously mentioned novelties
On evaluating the on-grid consumption, it is shown how schemes based on Model Predictive Control (MPC) balance their traffic load to reduce the use of the Macro-cell Base Station (MBS) (Figure 5b) and increase the number of users served by the SCBSs (Figure 5a)
Summary
Large-scale systems such as telecommunication networks and power systems are comprised of numerous lower-dimensional subsystems that inter-operate to achieve a common goal. Mobile cellular networks are large-scale systems that are expecting exponential growth in 5G and of the global population will have mobile connectivity by 2023, and 5G devices and connections will be over 10% of global mobile devices and connections by 2023. The consequences of such growth in the demand for network capacity are very well known. Note that the energy consumption costs are crucial in the operational expenditures
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