"An Energy-Efficient Algorithm for Resource Allocation in H-CRAN((EE H-CRAM)) for 5G Networks"

Abstract

The demand for faster internet has increased rapidly in today's generation due to more people using it. To keep up with this growth, a new network called 5G is being developed to replace the current 4G network. 5G has been designed to meet all the communication needs of users. One promising technology for this new network is Heterogeneous Cloud Radio Access Network (H-CRAN), which is energy-efficient and can handle high data rates. By using this network, better service quality can be achieved by turning small cells into bigger ones. This network is different from the usual networks we have today, because it uses a type of radio system that is much better at reusing radio resources. The structure of this network includes more Remote Radio Heads mounted around the Macro Base Station. This type of network is very helpful in saving energy and achieving high Energy Efficiency compared to regular networks. Its resource allocation techniques can optimize the limited spectrum resources by reducing the interference between users. Traditional cellular networks have not been able to save energy effectively, but this network is seen as a promising solution to the challenges faced by 5G networks, such as high data rates, limited power, and delays. In our paper, we suggest some ways to make H-CRAN more energy-efficient. We propose energy-efficient methods for H-CRAN (EE H-CRAM), incorporating an energy-efficient resource allocation management design that caters to the heterogeneous cloud radio access networks in 5G. We use a special energy-saving program to manage the resources of the network, which is designed for 5G. By using this program, we can improve the speed of the network. Overall, our paper proposes an innovative and energy-efficient approach to H-CRAN design, which can significantly improve the performance of the 5G network.