2016 Proc. IEEE International Conference on Communications,
May 23-27, 2016, Kuala Lumpur, Mayalasia.
Space-Time Fronthaul Compression of Complex Baseband Uplink LTE Signals
Jinseok Choi (1),
Brian L. Evans (1) and
Alan Gatherer (2)
(1) Department of Electrical
and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) Huawei Technologies, Plano, Texas USA
Paper Draft -
Poster (Oct. 16, 2015) -
Slides (July 23, 2015)
Multiantenna Communications Project
In this paper, we propose space-time fronthaul compression of baseband uplink LTE
signals for cellular networks, in which baseband units (BBUs) support remote radio
heads (RRHs) through fronthaul links.
In particular, we assume massive antenna arrays in which the number of antennas
in a RRH is much larger than the number of active users.
The proposed method consists of two phases: dimensionality reduction phase and
individual quantization phase.
The key idea of the first phase is to apply principal component analysis (PCA).
It performs low-rank approximation of a matrix— composed of received signals—
by exploiting the correlation of the received signals across space and time.
In the second phase, our method individually quantizes the dimensionality-reduced
signal by applying transform coding with bit allocation to reduce the number of
An LTE link-level simulator provides numerical results which show that the method
achieves up to 8× compression ratio for the uplink with 64 antennas and 4 active users,
along with improvement in communication system performance as a result of denoising.
Questions & Answers
Question. How can your compression method achieve the SNR gain?
Answer. When we have a low rank matrix Y, low rank approximation can eliminate the
subspace which only has noise components, and this achieves noise reduction.
And the gain can be measured as G (dB) = 10 log M/L where M is the number of receive
antennas, and L is the rank of the matrix Y.
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Last Updated 08/31/16.