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Orthogonal frequency division multiplexing based cognitive radio using GNU radio and universal software radio peripheral

机译:使用GNU无线电和通用软件无线电外围设备的基于正交频分复用的认知无线电

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摘要

The current development of wireless communication infrastructures and technologies have caused frequency spectrum to become scarce. It is also found that underutilization of spectrum occurred on conventional fixed spectrum management policy. Therefore, lots of research has been done to utilize these spectrum in an efficient manner by opportunistically exploiting the underutilize incumbent's spectrum. Cognitive Radio (CR) has been introduced as a promising way to utilize this unused spectrum through frequency, time and space domain. The main functionalities of CR are spectrum sensing, spectrum management, spectrum mobility and self-learning. To support high data transmission rate, Orthogonal Frequency Division Multiplexing (OFDM) with flexible modulation and high spectral efficiency has been considered. In this thesis, an experimental Software Defined Radio (SDR) platform which consists of GNU Radio and Universal Software Radio Peripheral version two (USRP2) are developed for OFDM-based CR system as proof-of-concept. Edge Energy Detection (EED) as a new joint sensing decision mechanism between Energy Detection (ED) and Edge Detection is proposed to improve the sensitivity of spectrum sensing. The experimental work is carried out in an ad-hoc network which resulted in time and frequency synchronization between nodes becoming crucial task. Therefore, Time Division Multiple Access (TDMA) and Carrier Sense Multiple Access (CSMA) protocols are deployed to ensure reliable communication system is achieved. Furthermore, Reinforcement Learning (RL) concept is adopted in this system for self-learning of the surrounding radio environment. The results showed: performance metrics in term of probability of false alarm ( ) and probability of detection ( ) for EED are improved by 10% as compared to ED and Edge Detection; CSMA-RL decreases the total number of collision by 50% over CSMA; and the number of data packets loss is decreased during switching transitions. Finally, the proposed system is evaluated with multimedia data transmission applications and results show the throughput and other performance metrics are significantly improved. In conclusion, this proposed CR system is proven beneficial for future communication technology in term of spectrum utilization.
机译:无线通信基础设施和技术的当前发展已导致频谱变得稀缺。还发现在常规固定频谱管理策略中出现频谱利用不足的情况。因此,已经进行了许多研究,通过机会主义地利用未充分利用的现有频谱来有效地利用这些频谱。引入认知无线电(CR)作为一种有前途的方式,可以通过频域,时域和空域利用这种未使用的频谱。 CR的主要功能是频谱感测,频谱管理,频谱移动性和自学习。为了支持高数据传输速率,已经考虑了具有灵活调制和高频谱效率的正交频分复用(OFDM)。本文针对基于OFDM的CR系统,开发了一个实验性的软件定义无线电(SDR)平台,该平台包括GNU无线电和通用软件无线电外围设备版本2(USRP2)。边缘能量检测(EED)作为能量检测(ED)和边缘检测之间的一种新型联合检测决策机制,旨在提高频谱检测的灵敏度。实验工作在自组织网络中进行,这导致节点之间的时间和频率同步成为关键任务。因此,部署了时分多址(TDMA)和载波侦听多址(CSMA)协议,以确保实现可靠的通信系统。此外,在该系统中采用了强化学习(RL)的概念,可以对周围的无线电环境进行自学习。结果表明:与ED和Edge Detection相比,针对EED的误报概率()和检测概率()的性能指标提高了10%;与CSMA相比,CSMA-RL使冲突总数减少了50%;并且在切换过渡期间减少了数据包丢失的数量。最后,该系统在多媒体数据传输应用中进行了评估,结果表明吞吐量和其他性能指标得到了显着提高。总之,从频谱利用率的角度来看,该提议的CR系统被证明对未来的通信技术有益。

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    See Wen Xing;

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