Noncoherent Decode-and-Forward Cooperative
Systems with Maximum Energy Selection
Ha X. Nguyen
1
, Cuu V. Ho
2
, Chan Dai Truyen Thai
3
, Danh T. Nguyen
4
1
ha.nguyen@ttu.edu.vn, School of Engineering, Tan Tao University
Tan Duc Ecity, Duc Hoa, Long An Province, Vietnam
2
cuu.hv@cb.sgu.edu.vn, Department of Electronics and Telecommunications, Saigon University
273 An Duong Vuong, District 5, Ho Chi Minh City, Vietnam
3
chan.thai@ifsttar.fr, Univ Lille Nord de France
F-59000, Lille, IFSTTAR, LEOST, F-59650, Villeneuve d’Ascq, France
4
nthanhdanh0410@gmail.com, Faculty of Electronics and Telecommunications, University of Science
Vietnam National University, Ho Chi Minh City, Vietnam
Abstract—This paper investigates the performance of a max-
imum energy selection receiver of an adaptive decode-and-
forward (DF) relaying scheme for a cooperative wireless system.
In particular, a close-form expression for the bit-error-rate (BER)
is analytically derived when the system is deployed with binary
frequency-shift keying (BFSK) modulation. The thresholds used
at the relays to address the issue of error propagation are opti-
mized to minimize the BER. While finding the optimal thresholds
requires information on the average signal-to-noise ratios (SNRs)
of all the transmission links in the system, the approximate
threshold at each relay that requires only information on the
average SNR of the source-corresponding relay is investigated.
It is also shown that the system achieves a full diversity order
with the approximate thresholds . Both analytical and simulation
results are provided to validate our theoretical analysis.
I. I NTRODUCTION
Frequency shift keying (FSK) is a popular modulation
scheme in noncoherent communications in which the receiver
does not require any channel state information (CSI) to decode
the transmitted signals [1]. Consequently, using FSK signals
in cooperative systems has been focused recently since there
is a complexity advantage in decoding [2]–[7]. It is due to
the fact that there are many wireless fading channels involved
in the systems [8], [9], which makes the task of channel
estimation more difficult. With the decode-and-forward (DF)
protocol employing FSK in cooperative systems, reference [3]
proposed maximum likelihood (ML) and suboptimal piecewise
linear (PL) schemes to decode the signals at the destination.
However, it was shown that the system could not achieve a
full diversity order due to the error forwarding at the relays.
References [6], [7] proposed to use a threshold at the relays
to address the issue of error propagation for binary frequency-
shift keying (BFSK) modulation. While the destination in [6]
combines all the signals from the retransmitting relays, the
destination in [7] selects only one signal with the largest
magnitude of the energy difference to decode. Unfortunately,
designing the optimal thresholds to minimize the average bit-
error-rate (BER) of the system relies on the MATLAB Op-
timization Toolbox and a theoretical analysis of the diversity
order is not available.
This paper studies the maximum energy selection (MES)
receiver, i.e., selecting the maximum output from the square-
law detectors of all branches to perform a detection, for a
threshold-based (i.e., adaptive) DF cooperative system. While
the destination in [7] relies on the maximum magnitude of the
energy difference, the destination in this paper employs the
maximum energy from the square-law detectors to detect the
transmitted signal. The approximate thresholds that achieve
full diversity are provided in this paper. Note that the direct
link between the source and destination is considered in this
work while the work in [7] assumes that there is no such a
link.
II. SYSTEM MODEL
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Fig. 1. System description of the proposed scheme.
Fig. 1 illustrates the signal transmission from the source
(node 0) to destination (node K +1) with the assistance
of K half-duplex relays (node i, i =1,...,K). The relays
retransmit signals to the destination in orthogonal channels.
In this paper, we assume that the fading channel coefficient
between transmit node i and receive node j , denoted by h
i,j
,
and the noise component at receive node j , denoted by n
i,j
,
are modeled as zero-mean complex Gaussian random variables
with variances σ
2
i,j
and N
0
, respectively. The instantaneous
signal-to-noise ratio (SNR) of the channel between node i
and node j , which is denoted by γ
i,j
, is given as γ
i,j
=
The 2013 International Conference on Advanced Technologies for Communications (ATC'13)
978-1-4799-1089-2/13/$31.00 ©2013 IEEE 136