1,189 research outputs found
Very Low-Rate Variable-Length Channel Quantization for Minimum Outage Probability
We identify a practical vector quantizer design problem where any
fixed-length quantizer (FLQ) yields non-zero distortion at any finite rate,
while there is a variable-length quantizer (VLQ) that can achieve zero
distortion with arbitrarily low rate. The problem arises in a
multiple-antenna fading channel where we would like to minimize the channel
outage probability by employing beamforming via quantized channel state
information at the transmitter (CSIT). It is well-known that in such a
scenario, finite-rate FLQs cannot achieve the full-CSIT (zero distortion)
outage performance. We construct VLQs that can achieve the full-CSIT
performance with finite rate. In particular, with denoting the power
constraint of the transmitter, we show that the necessary and sufficient VLQ
rate that guarantees the full-CSIT performance is . We also
discuss several extensions (e.g. to precoding) of this result
Distributed Channel Quantization for Two-User Interference Networks
We introduce conferencing-based distributed channel quantizers for two-user
interference networks where interference signals are treated as noise. Compared
with the conventional distributed quantizers where each receiver quantizes its
own channel independently, the proposed quantizers allow multiple rounds of
feedback communication in the form of conferencing between receivers. We take
the network outage probabilities of sum rate and minimum rate as performance
measures and consider quantizer design in the transmission strategies of time
sharing and interference transmission. First, we propose distributed quantizers
that achieve the optimal network outage probability of sum rate for both time
sharing and interference transmission strategies with an average feedback rate
of only two bits per channel state. Then, for the time sharing strategy, we
propose a distributed quantizer that achieves the optimal network outage
probability of minimum rate with finite average feedback rate; conventional
quantizers require infinite rate to achieve the same performance. For the
interference transmission strategy, a distributed quantizer that can approach
the optimal network outage probability of minimum rate closely is also
proposed. Numerical simulations confirm that our distributed quantizers based
on conferencing outperform the conventional ones.Comment: 30 pages, 4 figure
On the Benefits of Partial Channel State Information for Repetition Protocols in Block Fading Channels
This paper studies the throughput performance of HARQ (hybrid automatic
repeat request) protocols over block fading Gaussian channels. It proposes new
protocols that use the available feedback bit(s) not only to request a
retransmission, but also to inform the transmitter about the instantaneous
channel quality. An explicit protocol construction is given for any number of
retransmissions and any number of feedback bits. The novel protocol is shown to
simultaneously realize the gains of HARQ and of power control with partial CSI
(channel state information). Remarkable throughput improvements are shown,
especially at low and moderate SNR (signal to noise ratio), with respect to
protocols that use the feedback bits for retransmission request only. In
particular, for the case of a single retransmission and a single feedback bit,
it is shown that the repetition is not needed at low \snr where the
throughput improvement is due to power control only. On the other hand, at high
SNR, the repetition is useful and the performance gain comes form a combination
of power control and ability of make up for deep fades.Comment: Accepted for publication on IEEE Transactions on Information Theory;
Presented in parts at ITW 2007 and ICC 200
Joint Source-Channel Coding with Time-Varying Channel and Side-Information
Transmission of a Gaussian source over a time-varying Gaussian channel is
studied in the presence of time-varying correlated side information at the
receiver. A block fading model is considered for both the channel and the side
information, whose states are assumed to be known only at the receiver. The
optimality of separate source and channel coding in terms of average end-to-end
distortion is shown when the channel is static while the side information state
follows a discrete or a continuous and quasiconcave distribution. When both the
channel and side information states are time-varying, separate source and
channel coding is suboptimal in general. A partially informed encoder lower
bound is studied by providing the channel state information to the encoder.
Several achievable transmission schemes are proposed based on uncoded
transmission, separate source and channel coding, joint decoding as well as
hybrid digital-analog transmission. Uncoded transmission is shown to be optimal
for a class of continuous and quasiconcave side information state
distributions, while the channel gain may have an arbitrary distribution. To
the best of our knowledge, this is the first example in which the uncoded
transmission achieves the optimal performance thanks to the time-varying nature
of the states, while it is suboptimal in the static version of the same
problem. Then, the optimal \emph{distortion exponent}, that quantifies the
exponential decay rate of the expected distortion in the high SNR regime, is
characterized for Nakagami distributed channel and side information states, and
it is shown to be achieved by hybrid digital-analog and joint decoding schemes
in certain cases, illustrating the suboptimality of pure digital or analog
transmission in general.Comment: Submitted to IEEE Transactions on Information Theor
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