隨著對無線通訊的需求增加，為了滿足通訊需求，網路進化快速，近期最受歡迎的即為第五代行動通訊技術，由於連接到網路的用戶數量為浮動的，因此在用戶很少的情況下，小型基地台可能會浪費大量能源，之前已經有論文嘗試使用各種方法來提高異構網路的能源效率，例如提出小區休眠和小區縮放等，來減少網路內的能源浪費。
本研究提出了一個新的機制，命名為自動負載平衡和能源效率改進（ALBEEI）機制，在保證 QoS的情況下，提升網路能源效率，ALBEEI 模組自動執行負載平衡和單元縮放。在研究中使用了 K-Means 分組，將網路中的基地台分成幾組，然後分析了不同數量的組的表現。研究模擬結果指出，我們提高大約 7.6% 的能源效率和大約 6.7% 的網路容量，功耗減少了最多13%的發射功率，大約為總功率的1 %。結果表明 ALBEEI 是提高我們網路能源效率並維持服務品質的可行方法。

There has been a rapid increase in demand for wireless communications over a short period of time. To meet this demand, the 5G network has been developed to supply as much of it as possible. Due to the fluctuating amount of UEs connecting to the network, there can be a lot of wasted energy in small cells that have too few UEs. There have been previous papers that try to increase the energy efficiency of the heterogeneous network, using various methods, such as cell sleeping and cell zooming. It is important to reduce wasted energy within the network.
This paper attempted to find the effects of a new module, that we will call an Automatic Load Balancing and Energy Efficiency Improving (ALBEEI) mechanism module, on the energy efficiency of the network, while still maintaining QoS. The ALBEEI module performs both load balancing, and cell zooming automatically. In our research, we divided the total number of cells in our network into groups, and then analyzed how well varying numbers of groups performed. We evaluated the performance of each number of groups using K-Means clustering. Using this method, we found that we can improve energy efficiency and capacity significantly; around 7.6% for energy efficiency, and around 6.7% for capacity. The power consumption was reduced by about 13% of transmission power, which is around 1% of total power. This shows that ALBEEI is a viable way to increase energy efficiency in our network.

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