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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    "description": "<p>Several new architectures are under investigation&nbsp;for cloud radio access networks, assuming distinct splits of&nbsp;functionality among the network elements. Consequently, the&nbsp;research on radio data compression for the fronthaul is based&nbsp;on assumptions that correspond to a wide variety of tradeoffs&nbsp;among data rate, signal distortion, latency and computational&nbsp;cost. This paper describes a method for LTE downlink point-topoint&nbsp;signal compression based on linear prediction and Huffman&nbsp;coding, which is suitable for low cost encoding and decoding units&nbsp;with stringent restrictions on power consumption. The proposed&nbsp;method can work at various compression factors, such as 3.3:1&nbsp;at an average EVM of 0.9%, or 4:1 at an average EVM of 2.1%.</p>", 
    "language": "eng", 
    "title": "An LPC-Based Fronthaul Compression Scheme", 
    "license": {
      "id": "CC-BY-4.0"
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    "journal": {
      "volume": "21", 
      "issue": "2", 
      "pages": "318 - 321", 
      "title": "IEEE Communications Letters"
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    "communities": [
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        "id": "5g-crosshaul"
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        "code": "671598", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::671598"
        }, 
        "title": "5G-Crosshaul: The 5G Integrated fronthaul/backhaul", 
        "acronym": "5G-Crosshaul", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
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    "keywords": [
      "C-RAN", 
      "Fronthaul", 
      "LTE signal compression", 
      "LPC"
    ], 
    "publication_date": "2016-11-02", 
    "creators": [
      {
        "affiliation": "Federal University of Para", 
        "name": "Leonardo Ramalho"
      }, 
      {
        "affiliation": "Federal University of Para", 
        "name": "Maria Nilma Fonseca"
      }, 
      {
        "affiliation": "Federal University of Para", 
        "name": "Aldebaro Klautau"
      }, 
      {
        "affiliation": "Ericsson Research", 
        "name": "Chenguang Lu"
      }, 
      {
        "affiliation": "Ericsson Research", 
        "name": "Miguel Berg"
      }, 
      {
        "affiliation": "Ericsson Research", 
        "name": "Elmar Trojer"
      }, 
      {
        "affiliation": "Lund University", 
        "name": "Stefan H\u00f6st"
      }
    ], 
    "notes": "\u00a9 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.\nThis work was supported in part by the Innovation Center, Ericsson Telecomunica\u00e7\u00f5es 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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