575 research outputs found
Degrees of Freedom of Time Correlated MISO Broadcast Channel with Delayed CSIT
We consider the time correlated multiple-input single-output (MISO) broadcast
channel where the transmitter has imperfect knowledge on the current channel
state, in addition to delayed channel state information. By representing the
quality of the current channel state information as P^-{\alpha} for the
signal-to-noise ratio P and some constant {\alpha} \geq 0, we characterize the
optimal degree of freedom region for this more general two-user MISO broadcast
correlated channel. The essential ingredients of the proposed scheme lie in the
quantization and multicasting of the overheard interferences, while
broadcasting new private messages. Our proposed scheme smoothly bridges between
the scheme recently proposed by Maddah-Ali and Tse with no current state
information and a simple zero-forcing beamforming with perfect current state
information.Comment: revised and final version, to appear in IEEE transactions on
Information Theor
The DoF of Network MIMO with Backhaul Delays
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 well
A Differential Feedback Scheme Exploiting the Temporal and Spectral Correlation
Channel state information (CSI) provided by limited feedback channel can be
utilized to increase the system throughput. However, in multiple input multiple
output (MIMO) systems, the signaling overhead realizing this CSI feedback can
be quite large, while the capacity of the uplink feedback channel is typically
limited. Hence, it is crucial to reduce the amount of feedback bits. Prior work
on limited feedback compression commonly adopted the block fading channel model
where only temporal or spectral correlation in wireless channel is considered.
In this paper, we propose a differential feedback scheme with full use of the
temporal and spectral correlations to reduce the feedback load. Then, the
minimal differential feedback rate over MIMO doubly selective fading channel is
investigated. Finally, the analysis is verified by simulations
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