通过宏观分集结合MIMO技术的应用增强宽带无线网络

Wun-Cheol Jeong, Jong‐Moon Chung
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引用次数: 4

摘要

多输入多输出(MIMO)系统可以通过在发送端和接收端同时使用阵列天线来实现信道容量的急剧增加。然而,当多径信道间存在空间相关性时,MIMO系统的容量会严重下降。在本文中,我们证明了信道容量主要受阴影影响,而不是多径相关。为了克服这种不利的阴影效应,我们考虑了在MIMO技术之上的宏观选择分集(MSD)方案,并对MSD-MIMO系统的容量中断概率进行了分析。数值结果表明,即使在2个基站(BS)的情况下,分集也有显著的改善。当多个基站协同参与移动通信方案时,由多径衰落引起的空间相关性影响几乎可以忽略不计。结合BS选择方案,提出的MSD-MIMO系统在获得MIMO信道空间复用增益的同时,克服了不利的阴影现象。
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Enhanced broadband wireless networking through macroscopic diversity combining applications of MIMO technology
Multiple-input multiple-output (MIMO) systems can enable drastic increments in channel capacity by employing array antennas both at the transmitter and the receiver. However, the capacity of MIMO systems degrades severely when spatial correlation among multipath channels is present. In this paper, we show that the channel capacity is dominantly affected by shadowing, rather than multipath correlation. To overcome this adverse shadowing effect, we consider macroscopic selection diversity (MSD) scheme on top of MIMO technology, and provide an analysis of capacity outage probability for MSD-MIMO systems. The numerical results show that significant improvement is observed even with 2 base station (BS) diversity. It is also observed that the effect of spatial correlation due to multipath fading is almost negligible when multiple BSs cooperatively participate in the mobile communication scheme. Combined with the BS selection scheme, the proposed MSD-MIMO system overcomes adverse shadowing phenomena while obtaining spatial multiplexing gain in MIMO channels.
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