Theodore S. Rappaport;Mingjun Ying;Nicola Piovesan;Antonio De Domenico;Dipankar Shakya
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We show here that W provides a generalized analysis of power utilization and energy waste at both the component and system levels for any source-to-sink communication system. We delineate the methodology for applying W across various network configurations, including multiple-input single-output (MISO), single-input and multiple-output (SIMO), and multiple-input multiple-output (MIMO) systems, and demonstrate the effectiveness of W in identifying energy optimization opportunities. Our findings reveal that W not only offers nuanced insights into the energy consumption of RANs but also facilitates informed decision-making for network design and operational efficiency. Furthermore, we show how W can be integrated with other key performance indicators (KPIs) and key value indicators (KVIs) to guide the development of optimal strategies for enhancing network energy efficiency under different operational conditions. 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引用次数: 0
摘要
本文介绍了浪费因子 (W),也用 dB 表示为浪费图 (WF),这是一种很有前途的新指标,用于量化数据中心和无线接入网 (RAN) 等各种电路和系统应用中的能效。随着无线行业发展成为能源消耗大户,创建和管理高能效的 5G 和未来 6G 网络至关重要。此外,用于连接数据中心和人工智能(AI)计算引擎与机器学习(ML)应用用户的网络也必须变得更加节能。本文说明了现有能效指标的局限性,这些指标无法充分捕捉 RAN 组件错综复杂的能量动态。我们在此表明,对于任何源到汇通信系统,W 都能在组件和系统层面对功率利用率和能源浪费进行通用分析。我们描述了在各种网络配置(包括多输入单输出 (MISO)、单输入多输出 (SIMO) 和多输入多输出 (MIMO) 系统)中应用 W 的方法,并展示了 W 在识别能源优化机会方面的有效性。我们的研究结果表明,W 不仅能深入洞察 RAN 的能耗,还能促进网络设计和运营效率方面的知情决策。此外,我们还展示了 W 如何与其他关键性能指标 (KPI) 和关键价值指标 (KVI) 相结合,以指导制定在不同运行条件下提高网络能效的最佳策略。此外,我们还介绍了 3.5、17 和 28 GHz 的分布式多用户多输入多输出(MU-MIMO)系统的仿真结果,展示了以每平方公里为单位的整体网络能效,并说明了随着基站数量的增加和载波频率的提高,整体 W 如何降低(例如,整个网络的能效如何提高)。本文表明,采用 W 作为优点系数 (FoM) 可以设计出更可持续的下一代无线通信网络,为更环保、更可持续、更节能的 5G 和 6G 技术铺平道路。
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability
This paper introduces Waste Factor (W), also denoted as Waste Figure (WF) in dB, a promising new metric for quantifying energy efficiency in a wide range of circuits and systems applications, including data centers and Radio Access Networks (RANs). Creating and managing 5G and future 6G networks that are energy-efficient is of paramount importance as the wireless industry evolves to become a major consumer of energy. Also, the networks used to connect data centers and artificial intelligence (AI) computing engines with users for machine learning (ML) applications must become more power efficient. This paper illustrates the limitations of existing energy efficiency metrics that inadequately capture the intricate energy dynamics of RAN components. We show here that W provides a generalized analysis of power utilization and energy waste at both the component and system levels for any source-to-sink communication system. We delineate the methodology for applying W across various network configurations, including multiple-input single-output (MISO), single-input and multiple-output (SIMO), and multiple-input multiple-output (MIMO) systems, and demonstrate the effectiveness of W in identifying energy optimization opportunities. Our findings reveal that W not only offers nuanced insights into the energy consumption of RANs but also facilitates informed decision-making for network design and operational efficiency. Furthermore, we show how W can be integrated with other key performance indicators (KPIs) and key value indicators (KVIs) to guide the development of optimal strategies for enhancing network energy efficiency under different operational conditions. Additionally, we present simulation results for a distributed multi-user MIMO (MU-MIMO) system at 3.5, 17, and 28 GHz, demonstrating overall network power efficiency on a per square kilometer basis, and show how overall W decreases (e.g., energy efficiency increases over the entire network) with an increasing number of base stations and increasing carrier frequency. This paper shows that adopting W as a figure of merit (FoM) can enable the design of more sustainable next-generation wireless communication networks, paving the way for greener and more sustainable, energy-efficient 5G and 6G technologies.
期刊介绍:
The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023.
The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include:
Systems and network architecture, control and management
Protocols, software, and middleware
Quality of service, reliability, and security
Modulation, detection, coding, and signaling
Switching and routing
Mobile and portable communications
Terminals and other end-user devices
Networks for content distribution and distributed computing
Communications-based distributed resources control.