Field trial evaluation of compression algorithms for distributed antenna systems

M. Grieger, Peter Helbing, G. Fettweis, P. Marsch
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引用次数: 11

Abstract

Coordinated multi-point (CoMP) in the cellular uplink, offering large improvements in spectral efficiency and fairness, appears to be an effective option to combat inter-cell interference. Current approaches range from coordinated scheduling to coherent joint detection. A major drawback of coherent joint detection is the large extent of additional backhaul infrastructure required for the exchange of received signals among base stations. Theoretical research on this topic emphasizes the benefits of source coding as a method to reduce the backhaul that is required. This paper complements previous publications through field trial results obtained in a representative urban setup. Different scalar and vector compression algorithms are compared in terms of their complexity as well as the average distortion of the compressed signal. System performance, evaluated in terms of the SINR of the equalized transmit signals, was determined for measurement data to investigate performance of compression algorithms under real-world conditions.
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分布式天线系统压缩算法的现场试验评估
蜂窝上行链路中的协调多点(CoMP)在频谱效率和公平性方面有很大的提高,似乎是对抗蜂窝间干扰的有效选择。目前的方法包括从协调调度到连贯联合检测。相干联合探测的一个主要缺点是,在基站之间交换接收到的信号需要大量额外的回程基础设施。关于这一主题的理论研究强调了源编码作为一种减少所需回程的方法的好处。本文通过在具有代表性的城市设置中获得的实地试验结果补充了以前的出版物。比较了不同的标量压缩算法和矢量压缩算法的复杂度以及压缩信号的平均失真。根据均衡发射信号的信噪比来评估系统性能,并对测量数据进行确定,以研究实际条件下压缩算法的性能。
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