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Multicarrier systems with antenna diversity for wireless commmunications

机译:具有天线分集的多载波系统用于无线通信

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摘要

Future wireless communications systems need a high quality of service coupled with high data rate transmission for multimedia services. Achieving this goal in the hostile wireless environment with its limited spectrum has several challenges and implies the necessity of a communication system that is able to increase the channel capacity and overcome the difficulties of the wireless transmission environment with reasonable system complexity. Two of the most enabling technologies for the next generation of wireless systems are orthogonal frequency division multiplexing (OFDM) and multiple-input multiple output (MIMO) systems. MIMO systems have been originally designed for known flat fading channels. In this research, some novel MIMO-OFDM schemes for broadband wireless applications are developed and presented. The objective of the proposed schemes is to enhance the performance of OFDM systems over multipath fading channels by using antenna diversity techniques, and also to make MIMO systems applicable to frequency selective multipath fading channels. For the performance evaluation, both bit error rate (BER) and channel capacity analysis are considered. The channel capacity of MIMO-OFDM systems is analytically evaluated and it is shown that the channel capacity of the these systems can be dramatically increased as a function of the number of antennas. The BER performance of the MIMO-OFDM systems is analytically evaluated. New closed-form expressions for the BER performance of the MIMO-OFDM systems over frequency selective fading channels are derived. On the other hand, the growing popularity of both MIMO and OFDM systems creates the need for adaptive modulation to integrate temporal, spatial and spectral components together. The performance improvement offered by adaptive modulation over non-adaptive systems is remarkable. Furthermore, other dimensions such as frequency and space may yield further gains by providing additional degrees of freedom that can be exploited by adaptive modulation. In this research, a new adaptive modulation scheme for our MIMO-OFDM system (SFBC-OFDM) is presented. The proposed scheme exploits the benefits of space-frequency block codes (SFBC), OFDM and adaptive modulation to provide a high quality of transmission for wireless communications over frequency selective fading channels. It is shown that adaptive modulation can greatly improve the performance of the conventional SFBC-OFDM systems. Finally, a novel antenna selection algorithm is proposed for our MIMO-OFDM system. Three different forms of antenna selection are considered: transmit antenna selection, receive antenna selection, and joint transmit/receive antenna selection. The coding and diversity advantages of the MIMO-OFDM system with antenna selection are examined using average SNR gain, outage probability and BER analysis. The system performance of different forms of the proposed scheme is evaluated and compared. It is shown that the proposed scheme can greatly improve the performance of the conventional SFBC-OFDM systems.
机译:未来的无线通信系统需要高质量的服务以及多媒体服务的高数据速率传输。在频谱有限的敌对无线环境中实现该目标面临若干挑战,并暗示了通信系统的必要性,该通信系统必须能够以合理的系统复杂度来增加信道容量并克服无线传输环境的困难。下一代无线系统最有效的两项技术是正交频分复用(OFDM)和多输入多输出(MIMO)系统。 MIMO系统最初是为已知的平坦衰落信道设计的。在这项研究中,提出并提出了一些新颖的针对宽带无线应用的MIMO-OFDM方案。所提出的方案的目的是通过使用天线分集技术来增强多径衰落信道上的OFDM系统的性能,并且还使得MIMO系统适用于频率选择性多径衰落信道。为了进行性能评估,同时考虑了误码率(BER)和信道容量分析。对MIMO-OFDM系统的信道容量进行了分析评估,结果表明,这些系统的信道容量可以随着天线数量的增加而显着增加。对MIMO-OFDM系统的BER性能进行了分析评估。推导了针对频率选择性衰落信道上的MIMO-OFDM系统的BER性能的新的闭式表达式。另一方面,MIMO和OFDM系统的日益普及引起了对自适应调制的需求,以将时间,空间和频谱分量集成在一起。非自适应系统上的自适应调制所提供的性能改进非常显着。此外,诸如频率和空间之类的其他维度可以通过提供可以被自适应调制利用的附加自由度来进一步获得收益。在这项研究中,提出了一种用于我们的MIMO-OFDM系统的新的自适应调制方案(SFBC-OFDM)。所提出的方案利用了空频分组码(SFBC),OFDM和自适应调制的优势,为频率选择性衰落信道上的无线通信提供了高质量的传输。结果表明,自适应调制可以大大提高传统SFBC-OFDM系统的性能。最后,针对MIMO-OFDM系统提出了一种新的天线选择算法。考虑了三种不同形式的天线选择:发射天线选择,接收天线选择和联合发射/接收天线选择。使用平均SNR增益,中断概率和BER分析来检查具有天线选择的MIMO-OFDM系统的编码和分集优势。评估并比较了所提出方案的不同形式的系统性能。结果表明,所提出的方案可以大大提高传统SFBC-OFDM系统的性能。

著录项

  • 作者

    Konjin Mohammad Torabi;

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  • 年度 2004
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  • 原文格式 PDF
  • 正文语种 en
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