基于损耗因子的多用户多中继系统能耗最小化
Minimizing Energy Consumption based on Waste Factor in Multi-user Multi-relay Systems
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中文总结 AI 辅助
针对中继辅助通信中硬件级损耗被忽视的问题，提出采用损耗因子框架建模信号无关功耗，实现多用户多中继系统每比特能耗最小化，仿真验证其优于传统方法。
中文摘要 AI 辅助
现代无线网络不断增长的能源需求使得能效系统设计成为未来6G部署的核心挑战。中继辅助通信长期以来被认为是改善覆盖和吞吐量的有力工具，其根源可追溯到早期的中继通信系统和信息论中的基础中继信道模型。与此同时，现代中继选择和路由策略主要基于速率驱动或发射功率中心的指标，这些指标往往忽略了与发射信号无关的硬件级损耗。随着网络变得更加密集和异构，与信号无关的硬件低效和电路功耗在总能耗中日益占据主导地位，并从根本上改变了中继分配决策的最优性。为了解决中继辅助系统中信号无关功耗建模的挑战，采用了损耗因子（WF）框架：这是一种硬件感知的统一度量，能够显式捕获级联收发器和无线信道中与信号无关的功率损耗。利用WF，在多用户、多中继无线系统中，在实际硬件和网络约束下对能耗进行了量化和最小化。该公式联合考虑了组件低效、传播损耗和中继选择约束。所提出的框架表明，WF公式提供了一种从根本上新的方式来建模中继辅助通信，实现了硬件感知的每比特能量最小化，并提供了一种结构化表示，使得计算高效的分析成为可能。仿真结果证实，基于WF的中继分配降低了每比特总能量，同时提高了用户满足最小接收功率要求的能力，在这两个指标上均优于传统公式。
英文摘要
The escalating energy demands of modern wireless networks make energy-efficient system design a central challenge for future 6G deployments. Relay-assisted communication has long been recognized as a powerful tool for improving coverage and throughput, tracing its roots to early repeater communication systems and the foundational relay channel models in information theory. Meanwhile, modern relay selection and routing strategies are primarily driven by rate-based or transmit-power-centric metrics, which often neglect hardware-level losses that is independent of the transmitted signal. As networks grow denser and more heterogeneous, signal-independent hardware inefficiencies and circuit power consumption increasingly dominate the total energy consumption and fundamentally alter the optimality of relay assignment decisions. To address the challenge of modeling signal-independent power consumption in relay-assisted systems, the Waste Factor (WF) framework is adopted: a hardware-aware, unifying metric that explicitly captures signal-independent power losses across cascaded transceivers and wireless channels. Using WF, the energy consumption of multi-user, multi-relay wireless systems is quantified and minimized under practical hardware and network constraints. The formulation jointly accounts for component inefficiencies, propagation losses, and relay-selection constraints. The proposed framework demonstrates that the WF formulation provides a fundamentally new way to model relay-assisted communication, enabling hardware-aware energy-per-bit minimization and a structured representation that enables computationally efficient analysis. Simulation results confirm that WF-based relay assignment reduces total energy per bit while improving the ability of users to satisfy minimum received-power requirements, outperforming conventional formulations across both metrics.
发表机构
- Texas A&M University（德克萨斯农工大学）
- New York University (NYU)（纽约大学）
机构由 AI 辅助整理，请以论文原文为准。
