Green Communication Research Articles

Eco-Chic stays: The influence of green communication on guest booking intentions

In this paper, we examine how green communication impacts luxury hotel bookings using data from China. To determine whether green communication has an impact on guests’ decision-making processes, 384 questionnaires were distributed across four major Chinese cities, Beijing, Shanghai, Guangzhou, and Shenzhen. Among the mediators and moderators were perceived brand integrity, intrinsic green motivation, and environmental knowledge. Results indicate that the combinations of perceived brand integrity and green intrinsic motivation affect guests’ booking intentions along with environmental knowledge, according to the results of this study. Luxury hospitality managers can use this research to develop a theoretical framework for sustainable communication with green consumers.

The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling

This research examines the energy efficiency of city districts through the Malmquist–DEA model and investigates the spatial effects of the service trade and the digital economy on energy efficiency in urban green development. The study also delves into the specific context of the AI service trade to gain insights into and align with the emerging digital intelligence industry. The interplay of the service trade with the digital economy, alongside the AI service trade with innovation, significantly enhances urban energy efficiency and demonstrates positive externalities. Building on the empirical findings, this research employs cluster analysis to explore the green development of city districts and uses AI technology to program green communication and cooperation mechanisms across district clusters, employing quantum computation based on QUBO modeling. This study contributes to a deeper understanding of the cofunction of the service trade and the digital economy in terms of energy efficiency and aids in developing new quality productivities for green cities through quantum-based AI advancements. This research has clear implications for cutting-edge interdisciplinary applications of green AI technologies in social computing science.

Using 5G Standards for Smart Healthcare Applications and Designing an Artificial Intelligence‐Based Industry 4.0 Communication System

ABSTRACTThe introduction of Industry 4.0, to improve Internet of Things (IoT) standards, has sparked the creation of 5G, or highly sophisticated wireless networks. There are several barriers standing in the way of 5G green communication systems satisfying the expectations for faster networks, more user capacity, lower resource consumption, and cost‐effectiveness. 5G standards implementation would speed up data transmission and increase the reliability of connected devices for Industry 4.0 applications. The demand for intelligent healthcare systems has increased globally as a result of the introduction of the novel COVID‐19. Designing 5G communication systems presents research problems such as optimizing resource usage, managing mobility, ensuring cost‐efficiency, managing interference, and maximizing spectral efficiency. The fast advancement of artificial intelligence (AI) in several domains yields improved performance in contrast to traditional methods. Hence, including AI in 5G standards would enhance performance by catering to diverse end‐user applications. Initially, we provide an overview of concepts such as Industry 4.0, the 5G standard, and recent developments in the sphere of wireless communications in the future. The goal is to use 5G technology to look at current research problems. We present a new architecture for Industry 4.0 and 5G‐compliant smart healthcare systems. We develop and run the proposed model to investigate the current 5G methods using the Network Simulator (NS2). The results of the simulation show that 5G resource management and interference management approaches already in use face challenges including performance trade‐offs.

From Knowledge to Action: The Power of Green Communication and Social Media Engagement in Sustainable Food Consumption

Understanding what drives sustainable consumer behavior is crucial for effective green marketing strategies. We set out to explore the mechanisms explaining the relationships between environmental attitudes, perceived environmental knowledge, and green consumption values on consumer behaviors, specifically the mediating roles of receptivity to green communication and social media engagement with environmentally friendly firms. We also investigated the moderating role of information seeking in these relationships. Data were collected through a survey of 610 Greek respondents between May and July 2024 and analyzed using IBM SPSS and AMOS version 23. Findings show significant and positive paths between green consumption values and receptivity to green communication, e-word-of-mouth intention, food behavior, and other environmental behaviors, while receptivity to green communication and social media consumers’ engagement with environmentally friendly firms has a significant and positive impact on e-word-of-mouth intention and food behavior. Findings reveal that credible and detailed communication is essential for engaging information-seeking consumers, who are more critical of green messages.

Green Communication in IoT for Enabling Next-Generation Wireless Systems

Recent developments and the widespread use of IoT-enabled technologies has led to the Research and Development (R&D) efforts in green communication. Traditional dynamic-source routing is one of the well-known protocols that was suggested to solve the information dissemination problem in an IoT environment. However, this protocol suffers from a high level of energy consumption in sensor-enabled device-to-device and device-to-base station communications. As a result, new information dissemination protocols should be developed to overcome the challenge of dynamic-source routing, and other similar protocols regarding green communication. In this context, a new energy-efficient routing protocol (EFRP) is proposed using the hybrid adopted heuristic techniques. In the densely deployed sensor-enabled IoT environment, an optimal information dissemination path for device-to-device and device-to-base station communication was identified using a hybrid genetic algorithm (GA) and the antlion optimization (ALO) algorithms. An objective function is formulated focusing on energy consumption-centric cost minimization. The evaluation results demonstrate that the proposed protocol outperforms the Greedy approach and the DSR protocol in terms of a range of green communication metrics. It was noticed that the number of alive sensor nodes in the experimental network increased by more than 26% compared to the other approaches and lessened energy consumption by about 33%. This leads to a prolonged IoT network lifetime, increased by about 25%. It is evident that the proposed scheme greatly improves the information dissemination efficiency of the IoT network, significantly increasing the network’s throughput.

Two Energy-Efficient Backhauling Solutions for Small Cell Networks of 5G Using Green Communications

To meet the problem of ever-increasing wireless data congestion, the fifth-generation (5G) wireless communication system is projected to employ tiny cellphone networks for the needs of consumers heavily. One of the most significant elements of 5G networks will be sustainable interactions, as the quantity of power utilized by the information and communication technology (ICT) sector is expected to rise significantly by the end of the century. Therefore, scientists have focused much attention in recent years on developing strategies for designing small cell networks that use electricity optimistically. In addition, service providers need energy-efficient backing-up technologies to aid in using packed tiny cells. This research presents an interaction model that is well-suited to 5G HetNets and has a low power footprint. The model here accounts for an internet connection’s contact and backup portions. We create and present a mathematical framework to calculate the optimum number of tiny mitochondria that need to be maintained active at numerous hours of the day to minimize power consumption while still satisfying quality of service requirements set by customers. Our investigation into the backhaul’s electrical consumption led us to discover and put forward two energy-saving backing-up methods for 5G HetNets. Computer simulations show that the provided sustainable communication framework can reduce energy consumption by as much as 49% compared to the status quo.

Energy consumption optimization in green cognitive radio networks based on collaborative spectrum sensing

In the realm of green communications, the focus is on achieving high spectrum efficiency and low energy consumption. This paper addresses the crucial goal of reducing energy usage in green cognitive radio networks (CRNs) during communication between secondary users (SUs) and primary users (PUs). This paper proposed an energy consumption optimization model (ECOM) for green CRN utilizing collaborative spectrum sensing thereby minimizing the environmental impact and prolonging the operational lifetime of devices. The collaborative spectrum sensing proved its role in optimizing the energy consumption in the green CRN. An energy-efficient scheduling algorithm is implemented in ECOM, in which the SUs can be scheduled to perform their sensing process in a time-division manner to reduce energy consumption. Applied collaborative spectrum sensing serves as a valuable resource for researchers, network operators, and policymakers seeking to balance the increasing demand for wireless communication services with the imperative of sustainability. The simulation results and mathematical proof emphasize that ECOM demonstrates reduced energy usage and increased average effective throughput when compared to other recent models.

Environmental messaging, corporate values, online engagement and purchase behavior: a study of green communications among eco-friendly coffee retailers

Environmental messaging, corporate values, online engagement and purchase behavior: a study of green communications among eco-friendly coffee retailers

IRS-assisted UAV wireless powered communication network for sustainable federated learning

Intelligent reflective surface (IRS) and unmanned aerial vehicle (UAV) communication are indispensable potential technologies in the future sixth-generation mobile communication technology (6 G). Utilizing the high beamforming gain of IRS and the high mobility of UAV can achieve ubiquitous network coverage and ensure a high-quality communication environment. Wireless Powered Communication Network (WPCN) is an emerging green communication technology network that converts received radio frequency (RF) signals into electrical energy to power Federated Learning (FL) users. FL users perform local computing and model transmission through the collected energy, ensuring the sustainability of FL. In order to solve the problems of complex communication environment, privacy protection, and energy constraints on terminal devices, we design an FL system based on an IRS-assisted UAV wireless power communication network, which minimizes the UAV transmission energy by jointly optimizing UAV location, IRS phase shift, and resource allocation strategies. We use a low-complexity iterative algorithm to solve this complex non-convex problem. The simulation results show that the performance of the proposed algorithm is obviously better than that of other benchmark schemes, indicating that joint optimization plays an essential role in improving the performance of the system.

IEEE Transactions on Green Communications and Networking

IEEE Transactions on Green Communications and Networking

Base Station Energy Saving based on Imitation Learning in 5G Network

Abstract With the rapid development of communication technology, the large-scale deployment of base stations (BSs) has led to an increase in power consumption. To reduce power consumption, energy saving technologies for BSs have emerged, which are in line with the concept of green communications and can save operators’ costs. In this paper, our goal is to minimize the total power consumption of the base station by dynamically controlling the switching status of the base station. This article first proposes a dynamic base station switching framework based on deep reinforcement learning (DRL), which optimizes the power consumption of switching BSs. Then, considering the dynamic nature of the environment, this article proposes a dynamic BS switching algorithm that introduces the idea of imitation learning (IL) to update the policy by learning the expert’s action. The simulation results show that this scheme can effectively reduce power consumption.

Polarized APSK modulation system with polymorphic SC signals

AbstractThis paper discusses a new symbol modulation scheme known as polarized amplitude and phase shift keying, (‐APSK) modulation with four rings in its basic form. The new scheme maps power‐polarized symbol pairs on its constellation in order to increase the number of data symbols. ‐APSK exploits a symbol mapper based on a conjugate power splitting algorithm. Product modulation is applied, where a voltage signal of a specified amplitude and phase is multiplied by another current signal of a specified amplitude and phase, thus forming polymorphic signals in the product constellation. At the receiver, an isolated detection is performed, where the voltage signal is detected independently of the received current signal. A selection combining scheme is then used. The results depict unity peak‐to‐average power ratio and low average symbol energy, which is desirable for Green communications in 5G networks. It presents lower bit error rates when compared with the state‐of‐the art ‐ary quadrature amplitude modulation, with a signal‐to‐noise ratio gap of at least . The proposed analytical framework closely matches the simulations for bit error rates under .

Precise Error Performance of BPSK Modulated Coherent Terahertz Wireless LOS Links with Pointing Errors.

One of the key advantages of terahertz (THz) communication is its potential for energy efficiency, making it an attractive option for green communication systems. Coherent THz transmission technology has recently been explored in the literature. However, there exist few error performance results for such a wireless link employing coherent THz technology. In this paper, we explore a comprehensive terrestrial channel model designed for wireless line-of-sight communication using THz frequencies. The performance of coherent THz links is analyzed, and it is found to be notably affected by two significant factors, atmospheric turbulence and pointing errors. These could occur between the terahertz transmitter and receiver in terrestrial links. The exact and asymptotic solutions are derived for bit error rate and interrupt probability for binary phase-shift keying coherent THz systems, respectively, over log-normal and Gamma-Gamma turbulent channels. The asymptotic outage probability analysis is also performed. It is shown that the presented results offer a precise estimation of coherent THz transmission performance and its link budget.

Big data analytics-artificial intelligence and supply chain ambidexterity impacts on corporate image and green communication

PurposeThe theoretical background bases on the big data analytics-artificial intelligence (BDA-AI) technologies and supply chain ambidexterity (SCAX) in the firms to assess their sustainability endeavors such as green supply chain management (GSCM) to improve their green communication and corporate image.Design/methodology/approachAround 220 participants in the manufacturing firms are participants' industry expertise, diverse roles, and representation as key stakeholders.FindingsThe results show BDA-AI and SCAX affected on GSCM and found the significant relationships with green communication and corporate image. Green communication was discovered to impact corporate image significantly.Originality/valuePrior studies are neglected to address the relationship among the AI, powered by rapid computational and BDA breakthroughs, redefines cognitive tasks, achieving feats previously deemed impossible-making implicit judgments, simulating emotions, and driving operations. This study selects manufacturing firms as respondents due to their forefront of BDA-AI and supply chain ambidexterity adoption to benefit the operational efficiency and competitiveness. The firms intricate supply chains, diverse stakeholders, and strategic emphasis on corporate image make it an ideal context to examine the nuanced impact of these technologies.

From greenwashing to greenbleaching: green communication and mitigating moral outrage in the context of revisited situational crisis communication theory

From greenwashing to greenbleaching: green communication and mitigating moral outrage in the context of revisited situational crisis communication theory

Developing a Sustainable Business Model for Early-stage Sustainability and Green Communications Consultancies: A Case Study of Beecomms Indonesia

Developing a Sustainable Business Model for Early-stage Sustainability and Green Communications Consultancies: A Case Study of Beecomms Indonesia

Enabling sustainable green communication in three-tier 5G ultra dense HetNet with sleep cycle modulated energy harvesting

Enabling sustainable green communication in three-tier 5G ultra dense HetNet with sleep cycle modulated energy harvesting

Advancing Green Communications: The Role of Radio Frequency Engineering in Sustainable Infrastructure Design

A thorough examination of the role of radio frequency (RF) engineering is crucial for promoting sustainability in communications infrastructure. This review explores the complex interplay between environmental concerns in communication systems and RF engineering. It examines RF engineering approaches and strategies that support the design, implementation, and preservation of environmentally friendly infrastructure, including the integration of renewable energy sources into RF systems, and the prospects and challenges associated with employing RF technologies for fostering sustainable actions in the communications industry. The major findings revealed the importance of RF engineering as it relates to reducing carbon footprints, lowering energy consumption, and enabling environmental sustainability in communication networks. RF engineering is an essential driver of sustainability in the communications industry, considering that it supports the integration of renewable energy sources, optimization of power usage, and improvement of spectrum efficiency. Therefore, the adoption of eco-friendly practices and utilization of RF technological innovations can potentially support a more sustainable and greener digital ecosystem.

IEEE Transactions on Green Communications and Networking

IEEE Transactions on Green Communications and Networking

Speeches in the green: The political discourse of green central banking

In this paper, we employ a keyword-assisted topic model to quantify the extent of climate-related communication of central banks. We find evidence for a significant increase in climate-related speeches by central banks, which address the topic mostly in parallel with issues related to financial stability, whereas monetary policy and price stability are less emphasized. Finally, we examine factors that can explain the extent of green communication by central banks. Controlling for macroeconomic and climate-related variables, we identify two external factors that can prompt central banks to increase green communication: First, peer pressure, as measured by membership in Network for Greening the Financial System (NGFS), increases green communication. Second, a high degree of governmental climate engagement, reflected by the scope of national climate policies, correlates positively with central banks’ green communication. Whether the central bank has an implicit or explicit sustainability mandate, however, does not explain the extent of green communication.