一种改进的车载移动无线通信FEC方案

I. Ahmad, D. Habibi, Ziaur Rahman
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引用次数: 7

摘要

WiMAX已成为一种有前途的无线通信技术,具有向终端应用提供高吞吐量和有保证的服务质量的潜力。最近的研究表明,虽然WiMAX (802.16e)能够为固定无线通信提供高达75 Mbps的数据速率,但移动无线通信的数据速率急剧下降,当移动节点以车辆速度行进时,通常提供的数据速率低于1 Mb/s。高速行驶时产生的高误码率是导致吞吐量低的主要原因。在嘈杂的移动通信环境中,像传输控制协议(TCP)这样的标准错误控制机制对总体吞吐量的影响有限,而且往往是有害的,因为它需要过多的重传开销。为了解决这个问题,WiMAX标准采用了前向纠错(FEC)机制,消除了重传的需要。在FEC中,额外的奇偶校验位被添加到原始消息中以恢复损坏的信息。自适应FEC在响应包重传请求时调整额外奇偶校验位的大小,是对使用固定方位块的标准FEC的增强。然而,当终端以车辆速度移动时,现有的自适应FEC方案效率有限。在本文中,我们提出了一种新的FEC方案,该方案估计并调整额外奇偶位的大小以适应信道条件。我们应用基于区间的数据采样的概念来解决高速车辆通信环境的动态性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved FEC Scheme for Mobile Wireless Communication at Vehicular Speeds
WiMAX has emerged as a promising wireless communication technology with potential to deliver high throughput and guaranteed quality of service to the end applications. Recent studies suggest that while WiMAX (802.16e) is capable of delivering a data rate of up to 75 Mbps for fixed wireless communications, data rate decreases drastically for mobile wireless communications, often providing a data rate less than 1 Mb/s when the mobile nodes travel at vehicular speeds. High bit error rate caused at high vehicular speeds is the key reason for low throughput. In noisy mobile communication environments, standard error control mechanisms like the transmission control protocol (TCP) has limited and often detrimental impacts on the overall throughput because of the excessive retransmission overheads. To address this issue, WiMAX standard incorporates forward error correction (FEC) mechanism that eliminates the need for retransmissions. In FEC, extra parity bits are added to the original message to recover the corrupted information. Adaptive FEC that adjusts the size of extra parity bits in response to packet retransmission requests is an enhancement over standard FEC that uses fixed block of party bits. Existing adaptive FEC schemes, however, have limited efficiency when the end terminal moves at vehicular speeds. In this paper, we propose a new FEC scheme that estimates and adjusts the size of extra parity bits to suit the channel conditions. We apply the concept of interval based data sampling to address the dynamic nature of communication environments at high vehicular speeds.
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