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Base station energy optimization techniques

Maximizing energy efficiency in 6G cognitive radio network

A nonlinear fractional programming problem is formulated to maximize EE in resource-constrained Device-to-Device (D2D) network by enabling direct device connections, thereby reducing Base

Optimization study of green hydrogen fuel production stations

This study addresses this gap by analyzing various system configurations of green hydrogen production based on the local potential of solar and wind energy in a representative renewable

Isobutane Desalination Plant Operational Efficiency Evaluation

Heat recovery and energy optimization: Isobutane desalination plants incorporate heat recovery systems and energy optimization techniques to improve operational efficiency. These systems

Data-driven insights for optimizing EV charging

A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization. Results

Collaborative Configuration Optimization of Soft Open

To address the limitations of traditional planning methods in handling complex scenarios such as multi-feeder or substation cluster supply under high photovoltaic (PV) penetration, this paper

Traffic-Aware Predictive Energy Optimization for Control-and

Based on the traffic forecasting, we formulate a long-term network energy efficiency maximization problem that optimizes the active/deactive states of TBSs. Moreover, we introduce a service

Optimal positioning of 5G base stations in different cellular

In this paper, a highly adaptive multi-objective optimization framework is proposed for the optimal positioning of 5G base stations in different cellular networks, such as Urban Macro (UMa),

Data-Driven Smart Home Automation for Energy Efficiency

From a sustainability perspective, the proposed energy optimization techniques contribute to reducing the environmental footprint of smart homes, supporting the global shift towards more

Stochastic Modeling of a Base Station in 5G Wireless

Advanced sleep mechanism (ASM) is one of the efficient techniques for saving energy in the base station. This paper introduces three stochastic models for ASM based on system arrivals and

Simulation optimization of a hybrid system combining

Abstract Advances in communication technology have led to a significant increase in the energy consumption of 5G base stations. We previously developed a hybrid cooling system combining

Artificial Intelligence and Computational Optimization in Solar Energy

As solar energy continues to gain prominence in international energy regulations, the need for sophisticated optimization approaches has become evident. This paper provides a

Joint Planning of Renewable Energy and Electric Vehicle

The integration of renewable energy and electric vehicle (EV) charging stations into distribution systems presents critical challenges, including the inherent variability of renewable generation,

Building Energy Optimization Using Sustainable Materials

This experimental investigation studies about building energy optimization techniques and the influence of materials on energy efficiencies. After changing the original materials with the

Flying Base Stations for Offshore Wind Farm Monitoring and

Ensuring reliable and low-latency communication in offshore wind farms is critical for efficient monitoring and control, yet remains challenging due to the harsh environment and lack of

Optimization of power output in plateau photovoltaic power stations

This study presents an innovative hybrid approach for optimizing the power output of photovoltaic (PV) power stations in plateau regions, where environmental factors such as high altitude,

Chance-Constrained Optimization for VPPs With Base Stations

5G Base Stations (BSs) consume a large amount of electricity, requiring predominantly green power, which brings huge pressure on their electricity costs. To reduce energy costs and

Laboratory for Control, Optimization, and Power

August 2013: The paper " Geometry of Power Flows and Optimization in Distribution Networks " to appear in IEEE Transactions on Power Systems. August 2013: I received Google Faculty Research Award for my

Towards energy-efficient joint relay selection and resource

Moreover, traditional relay nodes consume their own energy to support D2D communication without gaining any benefit, affecting network sustainability. To address these challenges, this

Integrated Sensing and Communications: Network-Level

Network-level Integrated Sensing and Communication (ISAC) unifies radar-style sensing and data transmission across multiple base stations, treating them as intertwined services over the

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