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

Several new architectures are under investigation for cloud radio access networks, assuming distinct splits of functionality among the network elements. Consequently, the research on radio data compression for the fronthaul is based on assumptions that correspond to a wide variety of tradeoffs among data rate, signal distortion, latency and computational cost. This paper describes a method for LTE downlink point-topoint signal compression based on linear prediction and Huffman coding, which is suitable for low cost encoding and decoding units with stringent restrictions on power consumption. The proposed method can work at various compression factors, such as 3.3:1 at an average EVM of 0.9%, or 4:1 at an average EVM of 2.1%.

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 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).
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