隨著行動通訊的快速發展, 現今各國在通訊系統中除了提升傳輸速 度及通訊品質外,為了使用者或感測器建置的便利性,希望能在傳送資 料的同時,也對設備進行充電,進而提升設備的使用時間。 本論文中以室內環境作為模擬的環境,考慮傳送端使用 毫米波 天線 陣列系統,進行波束合成,在考慮多使用者的狀況下,使其各使用者的 能量採集效率提升及降低傳送資料的錯誤率,並使用 SADDE 演算法調 整天線的饋入線長度進行天線陣列的調整。 本論文著重在於同時傳輸資料及充電,並考慮多目標函數的使用,使用 SADDE 的優點在不須列出變數和因變數的數學關係,能找出最佳答案,因此才使用 SADDE 為最佳化的工具,另外在使用場型天線為多目標導致函數會有所不同,本論文模擬室內環境通信傳輸位元錯誤率加上能量採集效率,再利用 SADDE 的優點進行最佳化的調整,尋找錯誤率加能量採集效率最佳化的場型天線,此種場型天線為室內環境最佳化的需求。 經模擬室內環境相關數據顯示結果,透過SADDE調整可看出每一個天線元件做最佳化,避免能量不必要的浪費,進而提升各使用者的能量採集效率及降低錯誤率,提高通訊品質。
With the rapid development of mobile communication, it is not only to improve transmission speed and communication quality but also to charge the receivers. For system design, it is the goal that the sensor device can be charged while transmitting data. As a result, the operation time of the sensor device is increased. In this paper, the antenna array system is used for the beam synthesis at the transmitter in the indoor environment. For multiple users, the error rate of transmitting data to one specific receiver is set to be under the constraint of preset value and the energy collection efficiency of the other user is maximizing. The SADDE algorithm is used to adjust the feed line length of the antenna to maximize the objective function. This paper focuses on the simultaneous transmission of data and charging, and considers the use of multi-objective functions. The advantage of using objective functions. The advantage of using SADDE is that it is not necessary to have the exact gradient mathematical formula between variables. In addition, the SADDE can handle multiple objective functions. This paper simulates the indoor environment communication transmission bit error rate plus energy collection efficiency, and then uses the SADDE to optimize the adjustment of the feed line length. This antenna can optimize the energy harvesting efficiency for indoor environments. Through the simulation of the indoor environment by the SADDE adjustment, it is seen that each antenna component is optimized to avoid unnecessary waste of energy, thereby improving the energy collection efficiency and reducing the error rate of a specific user, and improving the communication quality.