4548 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 54, NO. 10, OCTOBER 2008
Decode-and-Forward Relaying With
Quantized Channel State Feedback:
An Outage Exponent Analysis
Tùng T. Kim, Student Member, IEEE, Giuseppe Caire, Fellow, IEEE, and Mikael Skoglund, Senior Member, IEEE
Abstract—The problem of resource allocation to maximize
the outage exponent over a fading relay channel using the
decode-and-forward protocol with quantized channel state
feedback (CSF) is studied. Three different scenarios are
considered: relay-to-source, destination-to-relay, and desti-
nation-to-source-and-relay CSF. In the relay-to-source CSF
scenario, it is found that using merely one bit of CSF to control
the source transmit power is sufficient to achieve the multi-
antenna upper bound in a range of multiplexing gains. In the
destination-to-relay CSF scenario, the systems slightly outper-
form dynamic decode-and-forward (DDF) at high multiplexing
gains, even with only one bit of feedback. Finally, in the destina-
tion-to-source-and-relay CSF scenario, if the source-relay channel
gain is unknown to the feedback quantizer at the destination, the
diversity gain only grows linearly in the number of feedback levels,
in sharp contrast to an exponential growth for multiantenna chan-
nels. In this last scenario, a simple scheme is shown to perform
close to the corresponding upper bound.
Index Terms—Cooperative communications, diversity methods,
diversity-multiplexing tradeoff, fading channels, large-deviation
analysis, power control, relay channels.
I. INTRODUCTION
M
OTIVATED by the potential of having simple single-an-
tenna communication nodes cooperate and approach the
promising performance of multiantenna systems, there has been
a renewed interest in the classical relay channels [1], [2], for ex-
ample in the recent work [3]–[8]. Resource allocation for relay
channels is known to enhance the performance significantly in
many different scenarios [9]–[15]. Most previous work on re-
source allocation, however, assumed perfect network state infor-
mation at both the source and the relay. In [16], power control
Manuscript received May 18, 2007; revised January 16, 2008. Current version
published September 17, 2008. This work was supported in part by the Swedish
Research Council. The work of G. Caire was partially supported by the NSF
under Grant NeTS-NOSS-0722073. The material in this paper was presented in
part at the IEEE Information Theory Workshop, Lake Tahoe, CA, September
2007. This work was carried out when T. T. Kim was a Visiting Researcher at
University of Southern California, Los Angeles, CA.
T. T. Kim and M. Skoglund are with the School of Electrical Engineering and
also with the ACCESS Linnaeus Center, Royal Institute of Technology (KTH),
10044 Stockholm, Sweden (e-mail: tung.kim@ee.kth.se; mikael.skoglund@ee.
kth.se).
G. Caire is with the Department of Electrical Engineering, University of
Southern California, Los Angeles, CA, 90089 USA (e-mail: caire@usc.edu).
Communicated by A. J. Goldsmith, Associate Editor for Communications.
Color versions of Figures 2–4, 6, and 7 in this paper are available online at
http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TIT.2008.928978
for amplify-and-forward relaying (AF) with quantized feedback
from the destination is considered, but a diversity analysis is not
pursued.
The fundamental tradeoff between diversity and multi-
plexing gains over a slow fading channel, first characterized
for the point-to-point multiantenna scenario in [17], gives
useful insight into the relation between throughput and re-
liability of a system in the regime of asymptotically high
signal-to-noise ratio (SNR). For the relay channel, the tradeoff
curves of some baseline schemes are obtained in [6] and [18].
A sophisticated scheme named dynamic decode-and-forward
(dynamic DF—DDF) is studied in [19] and shown to achieve
the multiantenna upper bound at all multiplexing gains less
than one-half. (In the present work the term DDF refers to
the DDF scheme without any feedback from the destination
[19], unless otherwise specified.) The diversity-multiplexing
tradeoff over relay channels with AF protocols is extensively
treated in [19]–[21]. From a diversity-multiplexing tradeoff
point of view, compress-and-forward (CF) relaying is shown
to be optimal [22], under the critical assumption that the relay
knows the full channel state information (CSI). In the recent
work [23], optimizing the dimension allocation for DF using
only statistical knowledge about the channel is considered.
The present work considers a three-node half-duplex coop-
erative communication channel subject to very slowly varying,
but random, channel gains (quasi-static fading), under different
forms of heavily quantized channel state feedback (CSF). The
partial CSF is used to allocate the number of channel uses in the
two phases of the DF protocol, i.e., dimension allocation, and
also to control the transmit power across fading states. Note that
temporal power control across fading blocks is a useful means to
improve the diversity gain over slow fading channels [24]–[26].
Both orthogonal (source and relay do not transmit simultane-
ously) and nonorthogonal (source and relay can transmit at the
same time) schemes are considered.
Three different feedback scenarios are considered: relay-to-
source CSF, destination-to-source-and-relay CSF, and destina-
tion-to-relay CSF. The last case is motivated by the fact that in
certain scenarios, the feedback link from the destination to the
source is of significantly lower quality than that from the desti-
nation to the relay (which inspires the relaying model in the first
place). The possibilities that we do not study are the destina-
tion-to-source CSF case and the scenario of joint feedback from
both the relay and the destination. The former case is omitted
because of the relative distances between the nodes in practice.
It is unrealistic that the feedback from the destination is reliably
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