Open AccessNew Adaptive Compandor for LTE Signal Compression Based on Spline Approximations
Author(s) -
Velimirovic Lazar Zoran,
Maric Svetislav
Publication year - 2016
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.16.0115.0506
Subject(s) - companding , quantization (signal processing) , computer science , signal (programming language) , wireless network , energy (signal processing) , wireless , electronic engineering , real time computing , orthogonal frequency division multiplexing , algorithm , computer network , engineering , telecommunications , mathematics , channel (broadcasting) , statistics , programming language
With the constant increase in network traffic, wireless operators are finding it more challenging to keep network hardware costs to a minimum. At the same time, the energy cost associated with operating a network has increased proportionally. Therefore, the search for higher network capacity is simultaneously accompanied by the search for a cost‐efficient network deployment. In this paper, we show that a saving in transmitted signal energy can be achieved at the signal design level by deploying very specific signal processing techniques. Using an orthogonal frequency‐division multiplexing signal for Long‐Term Evolution networks as an example, we utilize a novel non‐uniform companding quantizer to save a transmitted signal energy. Our results show that by using non‐uniform quantization it is possible to further optimize 4G wireless networks.