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arXiv 2603.04442cs.NI
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迈向绿色连接:一种由AI驱动的网状架构用于可持续和可扩展的无线网络

Towards Green Connectivity: An AI-Driven Mesh Architecture for Sustainable and Scalable Wireless Networks

Stanford University(斯坦福大学);University of Mississippi(密西西比大学);National University of Sciences and Technology(国立科学与技术大学)

Muhammad Ahmed Mohsin, Muhammad Jazib, Muhammad Saad, Ayesha Mohsin

AI总结:

本文提出了一种由AI驱动的网状架构,通过低功耗节点部署、空间频率重用和预测网络智能,实现无线网络的可持续和可扩展性,提升能源效率并减少部署成本。

摘要:

传统宏基站和微基站基础设施存在严重的效率问题,当前的宏基站网络运行效率低于5%,导致几乎95%的射频功率在覆盖空闲区域时被浪费。在高密度场景中,如朝觐活动,每年部署约7000个临时柴油发电塔,消耗5600万升燃料,排放约14.8万吨二氧化碳,但仍面临近40%的高峰需求故障率。为克服这些限制,我们提出了一种基于三种集成使能器的AI驱动网状架构:(i)基于接近度的低功耗节点部署在用户250至300米范围内,实现38dB链路预算增益和高达6000倍的效率提升;(ii)空间频率重用,将小区划分为多个非干扰区域,实现近20倍的容量增益;(iii)预测网络智能利用LSTMs预测5秒后的流量,实现更智能的分配并减少拥堵约60%。系统级评估结合传播建模和验证的链路预算分析表明,该架构可实现有用的能源输送提升高达84倍,降低部署成本近74%,并通过太阳能操作消除柴油依赖,从而实现农村和超密集城市环境的可持续、绿色连接。

英文摘要:

Traditional macro-cell and micro-cell infrastructures suffer from severe inefficiencies, with current macro-cell networks operating at less than 5 percent energy efficiency, leading to nearly 95 percent of RF power wasted in covering vacant areas. The problem becomes particularly acute in high-density scenarios such as the Hajj, where approximately 7,000 temporary diesel-powered towers are deployed each year, consuming 56 million liters of fuel and emitting around 148,000 tons of CO2, yet still experiencing failure rates of nearly 40 percent at peak demand. To overcome these limitations, we propose an AI-driven mesh architecture based on three integrated enablers: (i) proximity-based deployment of low-power nodes within 250 to 300 meters of users, yielding a 38 dB link-budget gain and up to 6000 times efficiency improvement; (ii) spatial frequency reuse, which partitions cells into multiple non-interfering zones and achieves nearly 20 times capacity gain; and (iii) predictive network intelligence leveraging LSTMs to forecast traffic 5 seconds ahead, enabling smarter allocation and reducing congestion by about 60 percent. System-level evaluations combining propagation modeling and validated link-budget analysis demonstrate that this architecture delivers up to an 84 times improvement in useful energy delivery, reduces deployment costs by nearly 74 percent, and eliminates diesel dependence through solar-powered operations, thereby enabling sustainable, green connectivity for both rural and ultra-dense urban environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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