非相关raylight平坦衰落信道下多天线无线系统的空间调制性能

Abdulati I. O. Abdullah, Ibrahim K. Shati, Ahmed H. Elshoshi, Abubaker M. Algatlawi
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引用次数: 2

摘要

在无线通信中实现更高数据速率的趋势是无止境的,需要能够提供更高频谱效率的复杂传输机制。多输入多输出(MEMO)无线通信的实现是高速数据传输的必然要求。然而,MIMO技术虽然获得了较好的分集和天线增益,但由于存在多个射频链,因此面临信道间干扰的问题。该机制的另一个主要缺点是使用最大似然(ML)检测器来获得更好的误码率性能;然而,它产生了显著的解码复杂性,并随着发射天线数量的增加呈指数增长。由于这些原因,人们的注意力已经转移到引入一种新的传输机制,这种机制可以克服传统MEMO所面临的问题。空间调制(SM)是解决这一问题和提高多径衰落信道频谱效率的最佳选择。在SM中,只有一个天线在数据传输期间是活动的,这意味着只有一个射频链被部署。这完全消除了(ICI)并降低了解码的复杂性。本文的贡献在于引入了SM的概念,并利用ML解码算法评估了其在非相关瑞利衰落信道上的误码率性能。
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Performance of Spatial Modulation for Multiple-Antenna Wireless Systems Over Uncorrelated Rayligh Flat Fading Channel
The trend towards achieving higher data rates in wireless communications is endless and requires sophisticated transmission mechanisms that are capable to deliver higher spectral efficiency. Multiple input Multiple output (MEMO) wireless communications were realized to have an inevitability in accelerating evolution of higher data rates. However, although MIMO technique achieves better diversity and antenna gain, it faces the problem of inter channel interference (ICI) due to the multiple number of radio frequency (RF) chains. Another major disadvantage of this mechanism is to use maximum likelihood (ML) detector for attaining better performance of bit error rate; however, it generates a significant decoding complexity which exponentially increases with increasing number of transmit antennas. For these reasons the attention has been shifted to introduce a new transmission mechanism that can overcome problems faced in conventional MEMO. Spatial modulation (SM) was the best candidate to resolve that issues and increase the spectral efficiency over multipath fading channel. In SM only a single antenna will be active for the period of data transmission, means only one RF chain is deployed. This entirely removes (ICI) and decreases decoding complexity. The contribution of this paper is to introduce the concepts of SM and evaluate its bit error rate (BER) performance over uncorrelated Rayleigh fading channel with the use of ML decoding algorithm.
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