Communications and Network, 2013, 5, 36-41
http://dx.doi.org/10.4236/cn.2013.53B2008
Published Online September 2013 (http://www.scirp.org/journal/cn)
Distributed Coding Modulation Adaptation Scheme for
Relay Channel
Zi Teng
1,2
, Jun Wu
1*
, Min Wang
1,3
, Lifeng Su
1
1
College of Electronics and Information Engineering, Tongji University, Shanghai, China,
2
School of Mathematics, Physics & Information Engineering, Jiaxing University, Jiaxing, China,
3
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
Email: 2011tengz@tongji.edu.cn, wujun@tongji.edu.cn, 2011mwangcs@tongji.edu.cn, sulifeng@tongji.edu.cn
Received May, 2013
ABSTRACT
Rate adaptation is an effective approach to achieve high spectrum efficiency under varying channel condition, espe-
cially for wireless communication. This paper proposes rate adaptation at receiver for wireless relay system. In this
scheme, source node uses a new modulation technology, called random projections code (RPC), to achieve rate adapta-
tion. Both relay node and destination node decode the received RPC encoding signals. If destination does not decode
RPC correctly, relay node will act compressing and forwarding role by performing LDPC syndrome encoding and
sending syndrome coded information to destination node. We discuss how to jointly decode at destination node when it
receives RPC coded information from source node and syndrome coded information from relay node. Finally, we
evaluate the scheme by bit-error-rate (BER) and good put evaluation metrics. Simulation results show that the coding
gain is about 4 dB, 3.1 dB, 2.2 dB and 1.6 dB for LDPC coding rate 0.8, 0.89, 0.94, 0.99 at BER 10
-5
respectively. The
throughput of the schemes is at least 0.3 bit/s/Hz higher than RPC at SNR ranging from 5 dB to 25 dB.
Keywords: Rate Adaptation; Random Projection Code; LDPC; Relay Channel
1. Introduction
Rate adaptation is critical to the performance of modern
wireless communication system, e.g., WiFi, 3G and LTE.
Conventional rate adaptation technology is implemented
at sending end, and achieved by adjusting actual trans-
mission rate through channel coding rate and modulation
scheme[1,2], based on the current channel state information
(CSI) [3]. However the existing approaches for rate adapta-
tion at sending end have two defects. One is that it is
always difficult to estimate CSI accurately due to feed-
back delay in frequency division duplex (FDD) system,
because the channel may vary drastically during several
data packets transmission. The other is that the trans-
mission rate can be adjusted among limited modulation
coding schemes (MCS), so the coarse granularity of
MCS results in a staircase of spectrum efficiency.
To solve these problems mentioned above, three new
schemes [4-6] have been proposed for smooth rate adap-
tation, and all of them implement rate adaptation at re-
ceiver and attain continuous spectrum efficiency. Cui et
al. [4] has proposed the random projection code (RPC),
which is a novel rate compatible modulation (RCM)
technology, and modulated symbols are incrementally
generated from information bits through weighted map-
ping. Compared to LDPC [7, 8], probability convolution
operation is used in RPC for horizontal iteration instead
of log(tan h) operation. This is due to the fact that RPC
symbols are generated using the arithmetic weighted sum
instead of logical exclusive-OR (XOR). RPC combines
channel coding and modulation together. In addition, Ref-
erence [4] has mentioned that a high coding-rate LDPC
code serially concatenated with RPC can gain better per-
formance, but no detailed performances are given.
On the other hand, how to use RPC in relay channel is
a relative new topic. For traditional relay system, some
researchers have proposed distributed channel coding (DCC)
schemes for the three node relay channel to jointly optimize
coding design at source node and relay node. These DCC
schemes include distributed turbo codes (DTC) and distrib-
uted LDPC codes (DLDPC) [9]. References [10-14] have
discussed how to design LDPC code for DF relay scheme.
If the signal from relay node to destination node is com-
pressed, those DLDPC models can be thought as typical
distributed source coding (DSC). There are two major
kinds of approach, i.e., parity approach and syndrome
approach, to realize DSC [15,16]. Some researchers have
proved that under ideal channel condition syndrome ap-
proach has the optimality, but under the noisy channel
condition parity approach’s performance is the best
[16,17].
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