Title :
Vector Perturbation Based on Symbol Scaling for Limited Feedback MISO Downlinks
Author :
Masouros, Christos ; Sellathurai, Mathini ; Ratnarajah, Tharm
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Coll. London, London, UK
Abstract :
We propose a low-complexity vector precoding (VP) scheme for the downlink of multi-user multiple input single output (MU-MISO) systems with limited feedback. Conventional VP requires the use of modulo operation and knowledge of the scaling factor used at the transmitter in order to remove the perturbation quantity at the receiver. The latter may be problematic in certain limited feedback scenarios where only quantized versions of the scaling factor can be made available at the receiver. To circumvent this shortcoming, we propose a modified VP technique where the search of perturbing vectors is limited to the area in the symbol constellation which is constrictive to the information symbols, i.e., the area where the distances from the decision thresholds are increased with respect to a distance threshold. By doing this, the perturbation quantities can only enhance detection and need not be removed at the receiver. Successful detection can therefore be done without the use of the modulo operation and the scaling factor, which makes the proposed VP scheme applicable to limited feedback scenarios. Analytical and simulation results show that the performance of the proposed scheme is free of the error floor typically encountered with conventional VP in the presence of limited feedback.
Keywords :
MIMO communication; perturbation techniques; precoding; vectors; MU-MISO systems; decision thresholds; distance threshold; limited feedback scenarios; low-complexity vector precoding scheme; modified VP technique; multiuser multiple input single output systems downlink; perturbation quantities; symbol constellation; symbol scaling; vector perturbation; Complexity theory; Downlink; Lattices; Receivers; Signal to noise ratio; Transmitters; Vectors; Limited feedback; multi-user MIMO; non-linear precoding; vector precoding;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2013.2291223