NDLI: Limited feedback signaling for MIMO broadcast channels

Content Provider	IEEE Xplore Digital Library
Author	Kim, J.S. Hojin Kim Kwang Bok Lee
Copyright Year	2005
Description	Author affiliation: Commun. & Network Lab, Samsung Adv. Inst. of Technol., Suwon, South Korea (Kim, J.S.; Hojin Kim)
Abstract	Recently, a number of techniques have been introduced to exploit multiuser diversity of a wireless multiple input multiple output (MIMO) broadcast channel (BC) that consists of a base station (BS) with t transmit antennas and K mobile stations (MS) with multiple antennas. However, prior works have ignored the rate overhead associated with feedback of MIMO BC channel state information (CSI), which is roughly K times larger than single-user MIMO CSI (i.e., it is O(tr) where r=/spl Sigma//sub k=1//sup K/r/sub k/ and r/sub k/ is the number of antennas at the kth MS). Considering the amount of feedback signaling, quantization is a necessity for effective feedback transmission as a form of partial CSI. In this paper, we propose the greedy multi-channel selection diversity (greedy MCSD) scheme bases on block MMSE QR decomposition with dirty paper coding (block MMSE-DP), where partial CSI is almost sufficient. The sum-rate performance of our novel scheme approaches extremely close to the sum capacity of MIMO BC as the number of users increases, whereas the feedback overhead is reduced by a factor of 2t/sup 3//L(t/sup 2/-t), in which L is the number of active channel vectors. Simulation results validate the expectation from the analysis.
Starting Page	855
Ending Page	859
File Size	970489
Page Count	5
File Format	PDF
ISBN	0780388674
DOI	10.1109/SPAWC.2005.1506261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Broadcasting Mobile antennas Transmitting antennas Base stations State feedback Channel state information Antenna feeds Quantization Analytical models
Content Type	Text
Resource Type	Article

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