Efficient Allocation of Mobile Resources using Fuzzy Systems for a QoS Planning

Dias, Suzane; Jailton, José; Carvalho, Tássio; Francês, Renato

doi:10.1109/latincom48065.2019.8937981

Cited by 2 publications

(1 citation statement)

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“…This approach can find solutions that are able to meet the requirements of the network in a satisfactory way. With regard to this, previous studies [19]- [22] are examples of how fuzzy logic can be used for decision making, either for implementing algorithms for handover, allocating routing protocols for flying ad-hoc networks (FANET) or the allocation of unmanned aerial vehicle (UAV) to overcome the problem of congested areas where there is a high volume of traffic data.…”

Section: The Decision Strategymentioning

confidence: 99%

A Fuzzy Strategy for Planning Centralized Access Networks in the Installation of Hybrid Fiber Radio Systems

Costa

Silva

et al. 2020

IEEE Access

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5G networks have arrived and are able to shift paradigms within the areas of connectivity, maintainability, scalability and availability. Their aim is to ensure that users can remain online with their devices at any time and in any place. In light of this, solutions for centralized networks are becoming attractive since they are manageable and low-cost. In these conditions, the use of computing techniques such as fuzzy logic benefits the supervision and planning of networks by optimizing and controlling resources as well as managing the system. However, planning a centralized network tends to raise challenges in the optical sectors that are located between the telecommunications center and the base station. Technologies such as radio over fiber are being examined to meet the demands in the fronthaul market, although they raise many other challenges. For this reason, in this study, we have adopted an intelligent strategy to determine in a balanced way which radio over fiber signals should be allocated in the optical sector. This strategy is implemented using fuzzy logic and may be used in decision making to plan the future of centralized networks. The results show that it is possible to make tradeoffs between the capital expenditure and performance of the system.

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Section: The Decision Strategymentioning

confidence: 99%