Abstract
Heterogeneous network, which is a key technology of fifth generation(5G) mobile communication system, can effectively solve the spectrum resource shortage in the communication system. However, with densified deployment of base stations (BSs) and growth of user quantity and communication data size, the system energy consumption of BSs has imposed enormous economic pressure on network operators. As a result, energy consumption decreases and cost of communication system becomes a problem that requires urgent solutions. Renewable energy power generation devices of BSs have provided an opportunity for solving this problem with the development of smart power grids. However, the production rate of renewable energy sources presents intense volatility because of the influence of weather factors. This condition brings new challenges to the energy allocation of communication system. Therefore, an energy sharing link between BSs was established in a heterogeneous wireless network, and the distance between macro-BS and micro-BS was taken as an index. The energy consumption-based energy and user joint allocation method and energy cost-based energy and user joint allocation method were proposed. The two multi-objective optimization problems were converted into two convex optimization problems, and the optimal allocation strategies were solved using convex optimization toolbox. Simulation results indicate that the energy consumption-based allocation method takes energy consumption as the optimization objective and makes the shared link transmit energy sources as few as possible. This way reduces energy consumptions of the link and the system. Starting from the economic angle, the energy cost-based allocation method considers the influence of energy price, coordinates energy allocation between BSs based on energy cost using the shared link, and optimizes energy allocation among BSs at each time slot. Therefore, the method can reduce the energy cost of the system by a large margin.
Highlights
In recent years, the energy consumption of information and communication technology (ICT) has become an economic issue for operators and a major challenge for sustainable development
When the output of renewable energy sources exceeds the upper limit of energy consumed by all users, which are served by the base stations (BSs), the surplus renewable energy sources will be shared to other BSs through the energy sharing link
The optimal allocation scheme in each time slot was determined via the convex optimization solution and used to reduce the energy consumption of the communication system
Summary
The energy consumption of information and communication technology (ICT) has become an economic issue for operators and a major challenge for sustainable development. By 2025, the quantity of connecting devices in wireless network will increase swiftly to 30 billion For such a large quantity of IoT equipment, network energy consumption has become a critical issue, and the traditional thermal power-based solutions are no longer sustainable for high cost and environmental problems of traditional energy sources [5]–[8]. Equipping BSs with a certain quantity of renewable energy power generation devices to provide energy sources for BSs in large-scale IoT systems has become a potential solution. The user and energy joint allocation problem under random energy and communication traffic at MBS and PBS in heterogeneous network was considered in this study. The heterogeneous network could reasonably use renewable energy sources of BS and effectively reduce system energy cost while satisfying the rate needed by users.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
