Energy Status-Based Adaptive Base Station Timing and Resource Allocation System

Abstract

The invention relates to a system that enables base stations in mobile communication systems to schedule and allocate resources based on their energy status. Accordingly, the system consists of: an energy monitoring and measurement module (1) that continuously monitors the instantaneous energy status of the base station; an energy forecasting and analysis engine (2) that processes data from the energy monitoring and measurement module (1) and generates short and medium-term energy production forecasts; an energy-aware scheduling engine (3) that allocates resources by taking into account energy status as well as classical traffic metrics, using energy information from the energy monitoring and measurement module (1) and the energy forecasting and analysis engine (2); a traffic and QoS management module (4) that determines user requests and service priorities; and a power management and adaptation unit (5) that adjusts the transmission power, number of active antennas and processing capacity of the base station according to the decisions of the energy-aware scheduling engine (3).It includes battery and energy storage management (6) which optimizes energy use to ensure the system runs for the longest possible time, and a policy and prioritization engine (7) which prioritizes emergency services or critical users.

Description

1 TARIFF Energy Status-Based Adaptive Base Station Timing and Resource Allocation System Technical Area 5 The invention is based on the energy status of base stations in mobile communication systems. It relates to a system that enables scheduling and resource allocation. State of the Art 10 Today, in mobile communication systems, base stations meet user demands. and uses various scheduling algorithms to ensure data transmission. Current systems use algorithms such as Round Robin, Proportional Fair, or Max Throughput. They are widely used. However, these algorithms are largely based on user demand and channel 15. It focuses on quality. The main shortcomings of the current systems are as follows: There is no energy awareness: Even when the energy level is critical, the system will produce maximum throughput. It works. 20 Renewable energy integration is weak: Solar / wind generation is included in scheduling decisions. It cannot be done. Risk of battery depletion: Aggressive data transmission when power is low can lead to interruptions. Inefficient energy use: Capacity may not be fully utilized even when energy is abundant. Sustainability issues in remote locations: Ensuring service continuity at off-grid base stations 25 It cannot be done. Due to the negative aspects described above and the inadequacy of the existing solutions regarding the issue. Therefore, it has become necessary to make improvements in the relevant technical field. Purpose of the Invention The invention is created by drawing inspiration from existing situations and aims to solve the aforementioned drawbacks. It aims to... 2 The main purpose of the invention is to enable base stations to be ranked not only according to traffic density, but also... Scheduling and resource allocation based on current energy status and energy production capacity. The goal is to develop an intelligent system that enables this. Within this scope, the invention involves solar panels and wind energy. instantaneous energy of base stations powered by energy sources such as turbines or batteries Dynamically adjusts data transmission capacity, user priorities, and power consumption according to the level. 5 This allows for adjustment. Thus, high capacity and high bandwidth are achieved when energy is abundant. And while aggressive data transmission is possible, a low-power mode is available in situations where energy is low. Prioritizing critical users and implementing energy-saving scheduling during nighttime hours are feasible. The invention aims to provide uninterrupted service by minimizing the risk of battery depletion, even during sunny hours. Optimizing the use of renewable energy by providing maximum throughput, battery and 10 extending the lifespan of the infrastructure by using the equipment more evenly and reducing the use of diesel generators. It aims to reduce operating costs by cutting back on them. It also aims for a more sustainable telecommunications industry. By creating the necessary infrastructure, it contributes to reducing the carbon footprint and supports green telecommunications projects. rural and remote base stations, disaster and temporary communication infrastructures, and military facilities with limited energy resources. It can be used in areas such as communication systems. 15 The structural and characteristic features and all the advantages of the invention are given in the figures below. Thanks to the detailed explanation written with references to the figures, it becomes clearer. It will be understood. Figures to Help Understand the Invention 20 Figure 1 shows the general architecture of the system that is the subject of the invention. Explanation of Part References 1. Energy monitoring and measurement module 2. Energy forecasting and analysis engine 25 3. Energy-aware scheduling engine 4. Traffic and QoS management module 5. Power management and adaptation unit 6. Battery and energy storage management 7. Policy and prioritization engine 30 35 3 Detailed Description of the Invention This detailed explanation describes the energy-state-based adaptive base station that is the subject of the invention. The preferred structures for timing and resource allocation systems are not only better understood in the context of the subject. It is explained in order to facilitate understanding. 5 The invention is based on the energy status of base stations in mobile communication systems. It is a system that enables scheduling and resource allocation. Accordingly, the system; The station's real-time energy status (solar production, battery level, consumption) is continuously monitored. the following energy monitoring and measurement module (1), 10 from the energy monitoring and measurement module (1) Energy forecasting and analysis creates short- and medium-term energy production estimates by processing data. engine (2), energy monitoring and measurement module (1) and energy forecasting and analysis engine (2) Using incoming energy data, it takes energy status into account in addition to classic traffic metrics. Energy-aware scheduling engine (3) that allocates resources by taking into account user demands and Traffic and QoS management module (4) that determines service priorities, energy-aware scheduling 15 According to the decisions of the engine (3), the transmission power of the base station, the number of active antennas and the processing Power management and adaptation unit (5) adjusts its capacity, optimizing energy use. Battery and energy storage management that ensures the system operates for the longest possible time. (6), policies that prioritize for emergency services or critical users and It includes a prioritization engine (7). 20 Energy-aware scheduling engine (3), user from traffic and QoS management module (4) requests and service priorities, energy monitoring and measurement module (1) and energy forecasting and By evaluating the energy information from the analysis engine (2), we decided as follows: It gives: 25 High energy means higher speed for more users. If the energy level is moderate, then it offers balanced performance. Only critical services and low power mode are available if the power is low. The power management and adaptation unit (5) is responsible for the decisions of the energy-aware scheduling engine (3) 30 Accordingly, it adjusts the transmission power, the number of active antennas, and the processing capacity of the base station. Battery and energy storage management (6) optimizes the use of energy, making the system as efficient as possible. It ensures that it operates for the longest possible time. Policy and prioritization engine (7), 35 for emergency services or critical users It implements prioritization.

Claims

4 REQUESTS 1. In mobile communication systems, based on the energy status of the base stations. It is a system that enables scheduling and resource allocation, and its feature is; Energy monitoring and measurement 5, which continuously tracks the instantaneous energy status of the base station. module (1), short and medium term energy production by processing data from the energy monitoring and measurement module (1). Energy forecasting and analysis engine (2) that generates the forecasts energy from the energy monitoring and measurement module (1) and the energy forecasting and analysis engine (2) Using this information, and taking into account energy status as well as classic traffic metrics, 10 Energy-aware scheduling engine that allocates resources (3), Traffic and QoS management module that determines user requests and service priorities (4), According to the decisions of the energy-aware scheduling engine (3), the transmission power of the base station Power management and adaptation unit (5) which adjusts the number of active antennas and processing capacity. 15 that optimizes energy usage to ensure the system operates for the longest possible time Battery and energy storage management (6), policies that prioritize for emergency services or critical users, and prioritization engine (7) It includes.

2. It is a system that complies with System 1 and its feature is; energy-aware scheduling engine (3), traffic and User requests and service priorities from the QoS management module (4), energy monitoring and together with energy information from the measurement module (1) and the energy estimation and analysis engine (2) by evaluating; Higher energy means higher speed for more users, 25 If energy is moderate, then balanced performance. If power is low, only critical services and low power mode are available. It involves making a decision in this way.

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