Title :
The DoF of network MIMO with backhaul delays
Author :
Xinping Yi ; de Kerret, Paul ; Gesbert, David
Author_Institution :
Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
Abstract :
We consider the problem of downlink precoding for Network (multi-cell) MIMO networks where Transmitters (TXs) are provided with imperfect Channel State Information (CSI). Specifically, each TX receives a delayed channel estimate with the delay being specific to each channel component. This model is particularly adapted to the scenarios where a user feeds back its CSI to its serving base only as it is envisioned in future LTE networks. We analyze the impact of the delay during the backhaul-based CSI exchange on the rate performance achieved by Network MIMO. We highlight how delay can dramatically degrade system performance if existing precoding methods are to be used. We propose an alternative robust beamforming strategy which achieves the maximal performance, in DoF sense. We verify by simulations that the theoretical DoF improvement translates into a performance increase at finite Signal-to-Noise Ratio (SNR) as well1.
Keywords :
Long Term Evolution; MIMO communication; array signal processing; channel estimation; precoding; radio transmitters; LTE networks; SNR; backhaul delays; backhaul-based CSI exchange; channel component; delayed channel estimation; downlink precoding problem; finite signal-to-noise ratio; imperfect channel state information; multicell MIMO networks; network MIMO DoF; network MIMO networks; precoding methods; rate performance; robust beamforming strategy; system performance; theoretical DoF improvement; transmitters; Array signal processing; Channel estimation; Delays; Estimation error; Interference; MIMO; Signal to noise ratio;
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/ICC.2013.6655058