基于模糊逻辑的CDMA系统近远干扰最小化闭环自适应功率控制

Kuldeep Singh, K. S. Dhillon, K. Singh
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引用次数: 2

摘要

CDMA因其频谱效率高而被广泛应用于各种通信系统中。但是远近干扰是影响CDMA系统性能的一个严重问题。这个问题可以通过实施自适应功率控制技术来减少。本文提出了一种基于模糊逻辑的闭环自适应功率控制方法。基于接收信号强度指标(RSSI)、信噪比(SNR)、基站与移动台之间的距离以及通信路径上障碍物的程度,开发了一种模糊推理系统,给出了功率控制信息。结果表明,基于模糊逻辑的闭环自适应功率控制系统能最大限度地减少近远干扰,提高CDMA系统的频谱效率和系统容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic based closed loop adaptive power control for minimization of near-far interference in CDMA systems
CDMA implementation is widely used in various communication systems because of its high spectral efficiency. But near- far interference proves to be a serious problem tending to reduce the performance of CDMA systems. This problem can be reduced by implementing adaptive power control techniques. In this research paper, fuzzy logic based closed loop adaptive power control has been proposed for minimization of near-far interference. A fuzzy inference system has been developed which gives power control information on the basis of Received Signal Strength Indicator (RSSI), Signal to Noise Ratio (SNR), distance between base station and mobile station and degree of obstacles occurred in communication path. The results reveal that Fuzzy logic based closed loop adaptive power control system minimizes the near-far interference and improves the performance of CDMA systems in terms of spectral efficiency and system capacity.
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