基于栅格整形和turbo解码的认知无线电覆盖z信道性能研究

2016 Thirteenth International Conference on Wireless and Optical Communications Networks (WOCN) Pub Date : 2016-07-01 DOI:10.1109/WOCN.2016.7759030

A. M. Ahmed, S. Sardar, Mohammed Zafar Ali Khan

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引用次数: 0

摘要

在本文中，我们实现了一种基于turbo的基于网格形状的叠加认知无线电z信道，其中主要用户和认知用户使用相同的频谱同时发送和接收。我们保证Primary的误码率(BER)性能即使在认知用户的存在下也不会下降。我们得到了两种用户的误码率误码率曲线，并且通过实现turbo解码而不是Viterbi解码器，即使在认知用户存在的情况下，primary的性能也有显着改善。仿真结果表明，turbo解码器在不进行栅格整形的情况下，对初级用户的编码增益为9.6dB，对认知用户的编码增益为8.7dB，对认知用户的编码增益为11.2dB，而传统的维特比解码器仅提供1.8dB的编码增益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance of cognitive radio Overlay Z-channel with trellis shaping and turbo decoding

In this paper we implement a turbo based Overlay Cognitive radio Z-channel with Trellis shaping, where the primary and cognitive users transmits and receives concurrently, utilizing the same spectrum. We ensure that bit error rate (BER) performance of the Primary does not degrade even in the presence of cognitive user. We derive bit error rate BER curves for both users, and show significant improvement in the performance of primary even in the presence of cognitive user by implementing turbo decoding instead of Viterbi decoder. Simulation results show that turbo decoder provides a coding gain of 9.6dB for Primary and 8.7dB for cognitive user with out trellis shaping and 11.2dB total gain with Trellis shaping for cognitive user, where as conventional Viterbi decoder provides 1.8dB coding gain only.

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2016 Thirteenth International Conference on Wireless and Optical Communications Networks (WOCN)

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