無線通訊技術快速發展提供使用者無論何時何地都能享受網路服務,但隨之而來的能量耗損成了值得研究的重要問題。耗能最小化是綠色節能無線通訊的基本目標,其中最有效且最有潛力的方法之一是基地台(enhance node B; eNodeB)根據使用者裝置(user equipments; UEs)的資訊來適應性開關基地台無線電收發器。因此,本篇論文提出兩個基於時間睡眠排程策略(RSS and ASS)以及基於動態門檻值的睡眠排程策略(DTSS)來解決降低電力消耗以及維持服務品質問題(Quality of Service; QoS),基於動態門檻值基地台睡眠演算法是利用收集動態UE 的資訊與基地台天線環境來管理能量,讓天線維持睡眠模式控制其能源強度直到使用者數量高於門檻值,提高能源使用效率以及使用者維持服務品質。在長程演進計畫 (Long Tern Evolution; LTE) 提供的蜂巢式無線行動網路通訊架構環境下,提出基於時間的睡眠排程策略,針對基地台的天線具方向性,藉由探討不同睡眠模式下影響使用者裝置的動態資訊,並分析電量消耗和服務品質造成之影響。我們的研究環境關於基地台裝載三個方向性的天線亦符合國際電信聯盟(International Telecommunication Union; ITU)所規範。 經過模擬與分析,本篇所提出的兩個基於時間基地台睡眠排程演算法改良過去文獻的方法,巧妙善用能源。本文提出新穎的動態門檻值睡眠排程策略演算法中,得出的結果不只在耗能上得到折衷的運用而且能維持良好且可接受的服務品質。
With the rapidly developing of wireless communication technical, it has been providing user services anytime. Indeed, energy consumptions become a problem in such network system. Energy consumption minimization is a fundamental aim for green wireless communications. One of the most effective and promising way to save energy is to power off the radio transceivers adaptively according to the information of user equipments (UEs). In this paper, we explore the Respectively Sleep Scheduling (RSS), Adjust Sleep Scheduling (ASS), and Dynamic Threshold Based Sleep Scheduling (DTSS). With study the effect of UEs’ dynamic information, analyzing energy consumption dissipation, and measure the Quality of Service (QoS) in proposed sleep modes. The eNodeB's antennas can control the energy in sleep mode to increase energy efficiency by using dynamic UE information. The scheduling strategies operate in Long Term Evolution (LTE) cellular communication networks. Focus on each enhance node B (eNodeB) is equipped with three-sector antennas. We present our simulation environment about three-sector antenna scenario as per International Telecommunication Union (ITU) specification. The method we proposed including RSS, ASS, and DTSS achieve a significant performance. Simulation results show that RSS and ASS are good at using energy, and DTSS scheme not only make good use of the tradeoff at power consumption but also maintain an acceptable QoS.