无线链路休眠模式下节能硬件配置的基础原理
Fundamentals of Energy-Efficient Hardware Configurations for Wireless Links with Sleep Modes
浏览论文内容
中文总结 AI 辅助
本文提出联合优化发射功率、带宽和天线数量，并发现能量效率最优信噪比恒为5.93 dB，同时扩展至服务质量约束与多种休眠模式，揭示传输与休眠需耦合优化以实现节能。
中文摘要 AI 辅助
本文研究了配备多天线的基站（BS）的能量效率（EE）。我们采用了一种先进的功耗（PC）模型，该模型捕捉了收发信机电路的无源和有源部分，包括辐射功率、信号处理和无源功耗的影响。本文将发射功率、带宽和天线数量作为优化变量。我们为每单位带宽的功率和每根发射天线的功率的最优比率提供了新颖的闭式解，并发现了一个新关系：在能量效率最优工作点上，辐射功率等于收发信机总功率。一个核心发现是，能量效率最优的信噪比（SNR）收敛为一个约5.93 dB的通用数值常数，与信道和硬件参数无关。我们提出了一种算法，该算法联合优化三个设计变量，以在实际约束下实现最大能量效率，并提供了关于最大功率或最大带宽是否最优以及基站应使用多少天线的分析性见解。我们进一步扩展了优化框架，以纳入服务质量（QoS）要求和三种不同深度的先进休眠模式：绝对休眠、深度休眠和空闲模式。我们描述了每种模式的最优硬件配置，并确定了何时“快速休眠”策略（即以能量效率最优的有源配置短暂发射，其余时间休眠）是最优的。结合唤醒转换延迟，我们揭示了延迟约束和特定于休眠模式的转换时间如何共同决定具有绝对截止日期的数据包的最优休眠模式。总之，这些结果表明，节能运行需要将传输和休眠视为一个单一的耦合优化问题。
英文摘要
In this paper, we examine the energy efficiency (EE) of a base station (BS) with multiple antennas. We use a state-of-the-art power consumption (PC) model that captures the passive and active parts of the transceiver circuitry, including the effects of radiated power, signal processing, and passive consumption. The paper treats the transmit power, bandwidth, and number of antennas as the optimization variables. We provide novel closed-form solutions for the optimal ratios of power per unit bandwidth and power per transmit antenna, and discover a new relationship in which the radiated power equals the total transceiver power at the EE-optimal operating point. A central finding is that the EE-optimal signal-to-noise ratio (SNR) collapses to a universal numerical constant of approximately 5.93 dB, independent of channel and hardware parameters. We present an algorithm that jointly optimizes the three design variables to achieve maximum EE under practical constraints, and provide analytical insight into whether maximum power or maximum bandwidth is optimal and how many antennas a BS should utilize. We further extend the optimization framework to incorporate quality-of-service (QoS) requirements and three advanced sleep modes of varying depth: absolute sleep, deep sleep, and idle mode. We characterize the optimal hardware configuration for each mode and determine when the rush-to-sleep strategy, which transmits briefly at the EE-optimal active configuration and sleeps the rest of the time, is optimal. Incorporating wake-up transition delays, we reveal how latency constraints and sleep-mode-specific transition times jointly dictate the optimal sleep mode for data packets with absolute deadlines. Together, these results indicate that energy-efficient operation requires treating transmission and sleep as a single coupled optimization.
发表机构
- KTH Royal Institute of Technology（皇家理工学院）
- Bilkent University（比尔肯特大学）
机构由 AI 辅助整理，请以论文原文为准。
