以基因演算法為基礎之干擾消除技術於MC-CDMA多用戶偵測之應用研究

Multiuser Detection with GA-Based Interference Cancellation for MC-CDMA Communication Systems

賴威丞(Wei-Cheng Lai)

指導教授 ： 黃永發 ； 譚旦旭

國立臺北科技大學/機電學院/電機工程系所/碩士(2006年)

https://doi.org/10.6841/NTUT.2006.00345

摘要

本論文發展基於基因演算法之多用戶偵測器（Genetic Algorithm-based Multi-User Detector, GA-MUD），以改善多載波分碼多工存取（Multi-Carrier Code Division Multiple Access, MC-CDMA）行動通訊系統之效能與運算複雜度。由於傳統GA-MUD在高用戶數時，無法以有限的代數（Generation）大幅改善系統效能，因此我們提出一種修正型GA-MUD架構，此架構將強迫突變（Forced Mutation, FM）加入每代演化中。於選擇性頻率衰減（Frequency Selective Fading）通道下的模擬結果顯示，FM-GA-MUD可在極低運算複雜度的情況下獲得與傳統GA-MUD相同的效能。除外，實驗結果亦顯示，FM-GA-MUD加上傳統之平行干擾消除（Parallel Interference Cancellation）技術，可進一步大幅降低位元錯誤率（Bit Error Rate, BER）。

關鍵字

多載波分碼多工存取 ； 多用戶偵測器 ； 基因演算法 ； 平行干擾消除

並列摘要

In this study a novel genetic algorithm based multiuser detector (GA-MUD) is developed to improve the performance and computational complexity of the multi-carrier code-division multiple-access (MC-CDMA) communication systems. To overcome the difficulty of high computational complexity of the conventional GA-MUD, a forced mutation (FM) operation is proposed and employed to the initialization procedure at each GA generation. A series of simulation is considered over frequency selective fading channel and the simulation result indicates that our proposed scheme can achieve the same BER of the conventional GA-MUD with a considerable reduction in computation. Furthermore, this study also finds that the bit error rate can be improved substantially when partial parallel interference cancellation (PPIC) is applied to the proposed FM-GA-MUD.

並列關鍵字

MC-CDMA ； Multiuser Detection ； Genetic Algorithm ； PPIC

參考文獻

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