Quantifying Potential Energy Efficiency Gain in Green Cellular Wireless Networks

Conventional cellular wireless networks were designed with the purpose of providing high throughput for the user and high capacity for the service provider, without any provisions of energy efficiency. As a result, these networks have an enormous Carbon footprint. In this paper, we describe the sources of the inefficiencies in such networks. First we present results of the studies on how much Carbon footprint such networks generate. We also discuss how much more mobile traffic is expected to increase so that this Carbon footprint will even increase tremendously more. We then discuss specific sources of inefficiency and potential sources of improvement at the physical layer as well as at higher layers of the communication protocol hierarchy. In particular, considering that most of the energy inefficiency in cellular wireless networks is at the base stations, we discuss multi-tier networks and point to the potential of exploiting mobility patterns in order to use base station energy judiciously. We then investigate potential methods to reduce this inefficiency and quantify their individual contributions. By a consideration of the combination of all potential gains, we conclude that an improvement in energy consumption in cellular wireless networks by two orders of magnitude, or even more, is possible.Comment: arXiv admin note: text overlap with arXiv:1210.843

CITIES: Energetic Efficiency, Sustainability; Infrastructures, Energy and the Environment; Mobility and IoT; Governance and Citizenship

This book collects important contributions on smart cities. This book was created in collaboration with the ICSC-CITIES2020, held in San José (Costa Rica) in 2020. This book collects articles on: energetic efficiency and sustainability; infrastructures, energy and the environment; mobility and IoT; governance and citizenship

Factors Shaping Thai Millennials' Low-Carbon Behavior: Insights from Extended Theory of Planned Behavior

Objective: This research serves a dual purpose: To construct a predictive model for low-carbon behavior among Thai millennials and to analyze the interplay between socio-demographic variables and eco-conscious actions. Methods/Analysis: By employing PLS-SEM and surveying 150 Thai millennials through purposive sampling, this study reaffirms the influence of persuasive technology and incentives on low-carbon behaviors. It highlights the significance of perceived behavioral control within the TPB framework and reveals intricate pathways by which persuasive technology and incentives shape attitudes, perceived control, and social norms, thereby driving eco-friendly actions. Findings: Among Thai millennials, positive attitudes and perceived control drive low-carbon behavior, while social norms and accessible low-carbon infrastructure also impact eco-conscious actions. Persuasive technology shows promise for attitude adjustment, but incentives' relationship with low-carbon behavior is complex. Interestingly, mature women exhibit more low-carbon behavior, whereas education and income show an inverse relationship. Novelty/Improvement: This study contributes novel and substantial insights into the drivers of low-carbon behavior among Thai millennials by integrating diverse theoretical frameworks. It enriches our understanding of the mediating role of TPB factors and socio-demographic dimensions, offering invaluable guidance for stakeholders in crafting effective interventions while aligning seamlessly with Sustainable Development Goals 7, 9, 12, and 13. Doi: 10.28991/HIJ-2023-04-03-02 Full Text: PD