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Baseband Signal Compression in Wireless Base Stations

机译:无线基站中的基带信号压缩

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摘要

To comply with the evolving wireless standards,base stations must provide greater data rates over the serialdata link between base station processor and RF unit. Thislink is especially important in distributed antenna systemsand cooperating base stations settings. This paper explores thecompression of baseband signal samples prior to transfer over theabove-mentioned link. We study lossy and lossless compressionof baseband signals and analyze the cost and gain of eachapproach. Sample quantizing is proposed as a lossy compressionscheme and it is shown to be effective by experiments. WithQPSK modulation, sample quantizing achieves a compressionratio of 4:1 and 3.5:1 in downlink and uplink, respectively. Thecorresponding compression ratios are 2.3:1 and 2:1 for 16-QAM.In addition, lossless compression algorithms including arithmeticcoding, Elias-gamma coding, and unused significant bit removal,and also a recently proposed baseband signal compression schemeare evaluated. The best compression ratio achieved for losslesscompression is 1.5:1 in downlink. Our over-the-air experimentssuggest that compression of baseband signal samples is a feasibleand promising solution for increasing the effective bit rates of thelink to/from remote RF units without requiring much complexityand cost to the base station.
机译:为了符合不断发展的无线标准,基站必须通过基站处理器与RF单元之间的串行数据链路提供更高的数据速率。该链接在分布式天线系统和协作基站设置中特别重要。本文探讨了在上述链路上传输之前对基带信号样本的压缩。我们研究基带信号的有损和无损压缩,并分析每种方法的成本和收益。提出将样本量化作为有损压缩方案,并通过实验证明它是有效的。使用QPSK调制,样本量化在下行链路和上行链路中分别达到4:1和3.5:1的压缩比。 16-QAM的压缩比分别为2.3:1和2:1。此外,还评估了包括算术编码,Elias-γ编码和未使用的有效位去除在内的无损压缩算法,以及最近提出的基带信号压缩方案。下行链路中无损压缩的最佳压缩比为1.5:1。我们的空中实验表明,对基带信号样本进行压缩是一种可行且有希望的解决方案,用于增加往返于远程RF单元的链路的有效比特率,而无需基站的太多复杂性和成本。

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