Journal article Open Access

An LPC-Based Fronthaul Compression Scheme

Leonardo Ramalho; Maria Nilma Fonseca; Aldebaro Klautau; Chenguang Lu; Miguel Berg; Elmar Trojer; Stefan Höst


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This work was supported in part by the Innovation Center, Ericsson Telecomunicações S.A., Brazil, CNPq and the Capes Foundation, Ministry of Education of Brazil, and by the European Union through the 5G-Crosshaul project (H2020-ICT-2014/671598).</subfield>
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    <subfield code="a">&lt;p&gt;Several new architectures are under investigation&amp;nbsp;for cloud radio access networks, assuming distinct splits of&amp;nbsp;functionality among the network elements. Consequently, the&amp;nbsp;research on radio data compression for the fronthaul is based&amp;nbsp;on assumptions that correspond to a wide variety of tradeoffs&amp;nbsp;among data rate, signal distortion, latency and computational&amp;nbsp;cost. This paper describes a method for LTE downlink point-topoint&amp;nbsp;signal compression based on linear prediction and Huffman&amp;nbsp;coding, which is suitable for low cost encoding and decoding units&amp;nbsp;with stringent restrictions on power consumption. The proposed&amp;nbsp;method can work at various compression factors, such as 3.3:1&amp;nbsp;at an average EVM of 0.9%, or 4:1 at an average EVM of 2.1%.&lt;/p&gt;</subfield>
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