An Energy-Efficient Dual Hop Cooperative Relay Model With Best Relay Selection

Research Inventy: International Journal Of Engineering And Science
Vol.5, Issue 5 (May 2015), PP 24-28
Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.com
24
An Energy-Efficient Dual Hop Cooperative Relay Model With
Best Relay Selection
Dr.P.Indumathi, M.Anitha
Abstract:Cooperative transmission obtains the spatial diversity gains created by sharing antennas of terminals
in wireless networks mainly to overcome the channel impairments and provide high data rates. In this paper, we
present end to end BER performance of dualhop wireless communication model equipped with multiple Decode
and Forward relays withthe best relay selection. Orthogonal space time block coding is applied at the source
terminal. Best relay is selected based on the end to end channel conditions to minimize the energy requirements.
We compare the BER performance using best relay selection with the BER performance of single relay. And
also, outage probability of the best relay is equivalent to the outage probability when all relays take part in
thetransmission.
I. INTRODUCTION
Dual hop transmission is a technique by which the channel from source to destination is split into two
shorter links using a relay [4]. It is an attractive technique when the direct link between the base station and the
original mobile terminal is in deep fade or heavy shadowing or there is no direct link between source and
destination.On the other hand transmission diversity is advantageous on a cellular base station, it might not be
practical for other scenarios. Especially due to cost, size or hardware limitations, a wireless device may not be
able to support multiple transmission antennas. In order to overcome this limitation a new form of diversity
technique, the cooperative diversity (named so as it comes from user cooperation) has been introduced by [8, 9,
11, 14]. In ad-hoc network when one user is transmitting information to a remote terminal, other users nearby
also receive it and transmit the signal to the destination. This process results in multiple copies of same signal
from independent fading paths at the destination and brings diversity.
Depending on the nature and the complexity of the relays cooperative transmission system can be
classified into two main categories; regenerative and non-regenerative systems. In regenerative systems, relay
fully decodes the signal that went through the first hop. Then retransmits the decoded version to the second hop.
This is also referred to as decode- andforward or digital relaying[5]. On the other hand, non-regenerative
systems use less complex relays that just amplify and forward the incoming signal without performing any sort
of decoding. It is called amplifyand- forward [9] or analog [15] relaying. The performance of both systems has
been well studied in [3, 4, 5, 7].
Moreover, choosing the minimum number of relays for reducing cooperation overhead and saving
energy without performance loss is an important concern. There are various protocols proposed to choose the
best relay among a collection of available relays in literature. In [16], the author proposed to choose the best
relay depending on its geographic position, basedon the geographic random forwarding protocol proposed by
[18, 17]. In [2], the author proposed opportunistic relay based on the instantaneous channel conditions. This
single relay opportunistic selection provides no performance loss from the perspective of diversity-multiplexing
gain trade off, compared to schemes that rely on distributed space time coding [14].
The paper is outlined as follows: section 2 introduces channel model. Best relay selection protocol is
described in section 3. Section 4 derives the Probability Density Function (PDF) of the received SNR per bit and
analyzes the BER performance of the best relay followed by the outage behaviour of the best relay. Simulation
results are presented in Section 5 and finallysection 6 presents conclusion and future work.
II. CHANNEL MODEL
A wireless dual hop network where a number of relay nodes are placed randomly and independently is
considered. The direct link between source and destination may be blocked by some obstacles so that relays can
communicate with both end points. In our model, the source equipped with two transmit antennas and each relay
node has a single antenna which can be used for both transmission and reception. All transmissions are assumed
to be half duplex and therefore a relay station cannot transmit and receive at the same period. During the first
hop source broadcasts symbols, the relays listen and during the second hop relays forward the decoded version
of the received signal to destination.

An Energy-Efficient Dual Hop…
25
Weassumethatchannel remains constant during two hops with Rayleigh fading as in Figure 1.Source
has no channel information and uses OSTBC. Each transmit antenna use same power where P is the
total transmission power andt is number of antenna at base station t=2.
Figure 1: Dual hop cooperative relay model
For two transmit antenna, transmission matrix is defined by X= where X1 and X2 are
complex symbols to be transmitted and * denotes the complex conjugate.We assume there are r relays and
number of transmit antennas at source is 2. For first hop, Channel matrix is given by HSR= wherehijis
channel gain between the ith
relay and jth
transmission antenna of source.i=1,2,...r and j =1,2 We assume that
each element of HSRis independent and identically distributed complex Gaussian random variable with zero
mean and β1 variance.So, Channel matrix for each relay can be represented as i=(hi1 hi2) for i=1,2….r And for
second hop, gi= Individual relay to destination fading amplitude
III. BEST RELAY SELECTION
In single relay selection only one opportunistic relay transmits the received signal to destination. In
previous work opportunistic relay is defined considering distance toward source or destination [17] or
considering the channel condition [2]. The selectionis not efficient since communication link between
transmitter and receiver located at same distance have enormous difference in terms of received signal due to
fading and shadowing. In this paper, we consider all relays can listen to each other. After monitoring the
instantaneous channel condition each relay broadcast the information to each other. If relays are hidden from
each other destination decides which is the most opportunistic relay and broadcast it to relay station.
Let αsi and αid denote the total channel power from source to ith
relay and ith
relay to destination
respectively. Both αsi and αid describe the quality ofthe wireless path between source to relay and destination to
relay. They are calculated by following equations
=|hi1|2
+|hi2|2
+…
=|gi|2
αid is the fading amplitude from relay to destination. Since the two hops are both important for end to end
performance, each relay calculates corresponding hi based on two decision rules.
Rule 1: hi=min{ , }
Rule 2:hi=
The relay i that maximizes function hi is one with the “best” end to end path between initial source to
destination.After being selected as the best relay it relays signal to destination. In this paper it is assumedthe
destination have perfect channel information available for decoding the received signal.
IV. BER ANALYSISAND OUTAGE PROBABILITY
In our channel model during the first time slot, the source transmits while all the relay nodes listen and
during the next time slot the best relay is selected which transmits signal to destination. The end to end SNR
through selected relay iis given by
)),(min(max ,...1 idsiri
 


26
where si
 and id
 are the instantaneous SNR of the S-Rand R-D link, respectively.The selection of the best
relay is done by order statistics.We obtain weaker link between the first hop and the second hop of each relay
node i.e, with largest SNR.We assume S-R and R-D link have the same average channel gain.
Probability density function of γ is given by [1]
12****
))()(2))((1)((2)(


r
FFFrff 
where pdf )exp(
1
)( _
*
*
*
*



 f
and cdf )exp(1)( _
*
*
*


 F of Rayleigh distributed random variable.
Finally pdf of γ is obtained by
1
___
*
*
___
*
___
*
*
)
2/
exp(1
2/
)
2/
exp(
)(














r
f






and further expanded through
binomial expansion as


















 


___
*
*
___
*1
1 2
exp
2
)1()(



 i
i
i
r
f
r
i
r
Above pdf expression can be used to evaluate error performance for any modulation techniques.BER for BPSK
modulation scheme is given by
 dferfcPBPSK
)()(
2
1
0


 



 di
i
i
r
erfc
r
i
r


















 



___
*
*
___
*1
1
0
2
exp
2
)1()(
2
1
Outage Probability:
Mutual information between source and relay nodes i=1,2,….r in first hop is given by
)1log(
2
1
11
SNRI ii
 where
2
||||
2
2
2
1
1
ii
i
hh 
 , 1i
 is exponential distribution.
Mutual information in the second hop )1log(
2
1
22
SNRI ii

Probability density functions of 1i
 and 2i
 are
11
111
),(

 i
ef i

 , 22
222
),(

 i
ef i


So the capacity of network for relay I isminimum of the mutual information of this two hops.
)min()( 2,1 iii
IIC 
We are selecting the best relay based on end to end channel condition. Maximum capacity of the entire network
depends on mutual information of the best relay as
)),(min(max 21
|,..,1|
ii
ri
III


)))1log(
2
1
),1log(
2
1
(min(max 21
|,..,1|
SNRSNR ii
ri


So network capacity IC )( .Outage probability Pout is defined as the probability that instantaneous capacity
)(C fall below outage capacity Cout .
))(Pr( outout
CCP  

27
)))((maxPr(
|,..,1|
outi
ri
out
CCP 


Due to channel assumption, we have 


r
i
i
outout
PP
1
where ))(Pr( outi
i
out
CCP  
)))1log(
2
1
),1log(
2
1
Pr(min(( 21 outii
i
out
CSNRSNRP 
SNR
wwherew
outC
ii
12
)),),Pr(min((
2
21


Then by order statistics [18], SNR
ii
outC
e
12
)(
21
2
21
1),Pr(min(




Thus
SNRi
out
outC
eP
12
)(
2
21
1




Finally, we substitute this value to obtain outage probability Pout
V. SIMULATION RESULTS
In this section, we discuss about simulation results of BER performance and outage behavior. We
consider BPSK constellation for 2 transmit antennas equipped at source in slow Rayleigh fading channel.
Simulation are performed one for decision rule 1 and another for decision rule 2 in NS2 environment. We can
see that the performances are nearly the same for both cases in Figure 2.
Figure 2:BER vsSNR
We have performed simulation with relays r= 2,3,5 and 7. BER performance of the best relay among a
set of relays is always better than the BER performance of single relay shown in Figure 3.It is also shown that
the better BER performance can be achieved by adopting more relay nodes.The single relay selection can reduce
receiver complexity and at the same time will increase the network coverage.Figure 4 show the outage
performance of the best relay compared to single relay for outage capacity Cout=.5bps/Hz. Outage probability
decreases with increase in number of relays. By adopting more relays better outageperformance can be
achieved.
Figure 3:BER vs SNR
0 2 4 6 8 10 12 14 16 18 20
10
-2
10
-1
10
0
SNR(dB)
BER
2 relays -rule 1
2 relays -rule 2
0 2 4 6 8 10 12 14 16 18 20
10
-4
10
-3
10
-2
10
-1
10
0
SNR(dB)
BER
BER performance for dual hop transmission
relay=1
relay=2
relay=3
relay=5
relay=7

28
Figure 5:Pout vs SNR
VI. CONCLUSION
In this paper, an end to end BER analysis and outage performance of dual hop cooperative model by
selecting the best relay based on the instantaneous channel conditions is presented. Both BER performance and
outage probability can be improved by adopting more relays. However the outage performance of the best relay
is equivalent to the outage behavior when all relay nodes participate in the second hop. In future, we can extend
it to multi-hop transmission for covering long distance.
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0 5 10 15
10
-3
10
-2
10
-1
10
0
SNR(dB)
OutageProbability
Outage Performance with Cout=0.5bps/Hz
relay=1
relay=2
relay=3
relay=5
relay=7

An Energy-Efficient Dual Hop Cooperative Relay Model With Best Relay Selection

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