Asymptotic performance of MIMO wireless channels with limited feedback
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Duplex distortion models for limited feedback MIMO communication
IEEE Transactions on Signal Processing
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
Single-input two-way SIMO channel: diversity-multiplexing tradeoff with two-way training
IEEE Transactions on Wireless Communications - Part 1
Bounds on packings of spheres in the Grassmann manifold
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Gaussian codes and weighted nearest neighbor decoding in fading multiple-antenna channels
IEEE Transactions on Information Theory
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
Event-driven optimal feedback control for multiantenna beamforming
IEEE Transactions on Signal Processing
Optimization of training and feedback overhead for beamforming over block fading channels
IEEE Transactions on Information Theory
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In a two-way system where two users transmit data to each other, limited feedback beamforming is a simple method to supply channel state information to the transmitter (CSIT) for a multiple-input-multiple-output (MIMO) system when channel reciprocity is unavailable. For analytical tractability, most existing papers assume the existence of an ideal fixed-rate feedback channel to assist the transmitter to adapt to instantaneous channel conditions. The relationship between the feedback rate and data rate is typically analyzed in a unidirectional manner. In reality, judicious resource allocation to transmitting feedback and data leads to a tradeoff between the effective forward and reverse data rates. In this paper, we represent the achievable rate by effective SNRs, and we present a framework to analyze the tradeoff. We find that the forward and reverse rate tradeoff can be decomposed into two local tradeoffs, resulting from the resource allocation policy of each user. The local tradeoff region for each user is found in closed-form, whereas the overall tradeoff region is approximated for the special case when the two users have equal hardware configurations.