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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
 

An Energy-Efficient Dual Hop…
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  
An Energy-Efficient Dual Hop…
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
An Energy-Efficient Dual Hop…
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.
REFERENCES
[1] Balakrishnan N. and Cohen A., Order Statistics and Inference: Estimation Methods, AcademicPress, 1991.
[2] Bletsas A., Khisti A., Reed D., and Lippman A.,“A Simple Cooperative Method Based on Network Path Selection,” Computer
Journal ofIEEE Journal Selected Areas Communications, vol. 4, no. 2, pp. 159-163, 2005.
[3] DaConne, C., Il-Min Kim’’ Outage probability of multi-hop amplify-and-forward relay systems” IEEE Transactions on Wireless
Communications, Volume:9 , Issue: 3 ,March 2010
[4] M Elkashlan, PL Yeoh, N Yang, TQ Duong, C Leung, “A comparison of two MIMO relaying protocols in Nakagami-m fading”.
IEEE Trans. Vehicular Technol., 1416–1422 ,2012
[5] Ahasanun Nessa, Qinghai Yang, and Kyung-sup Kwak,” Performance Analysis of Two-Hop Cooperative MIMO Transmission
with Best Relay Selection in Rayleigh Fading Channel”, The International Arab Journal of Information Technology, Vol. 8, No.
1, January 2011
[6] Qi, J., Aissa, S. ; Alouini, M ,“Dual-hop amplify-and-forward cooperative relaying in the presence of Tx and Rx in-phase and
quadrature-phase imbalance”, Communications, IET Volume:8 , Issue: 3 , Feb 2014
[7] Jinlong Wang, Yuzhen Huang, CaijunZhong, Fawaz Al-Qahtani, QihuiWu1 and Yunpeng Cheng,” Performance analysis of
interference-limited dual-hop multiple antenna AF relaying systems with feedback delay”, EURASIP Journal on Wireless
Communications and Networking , 2013
[8] FS Al-Qahtani, J Yang, RM Radaydeh, H Alnuweiri, “On the capacity of two-hop AF relaying in the presence of interference
under Nakagami-m fading”. IEEE Commun. Lett., 19–22 ,2013
[9] C Zhong, H Suraweera, C Yuen, A Huang, Z Zhang, “Outage probability of dual-hop multiple antenna AF relaying systems with
interference”. IEEE Trans. Commun., 108–119 ,2013
[10] Laneman J. and Wornell G., “Distributed Space-Time Coded Protocols for Exploiting Cooperative Diversity in Wireless
Networks,”Computer Journal of IEEE Transactions onInformation Theory, vol. 50, no. 2, pp. 2415-2525, 2003.
[11] Nabar R., Bölcskei H., and Kneubühler F., “Fading Relay Channels: Performance Limits and Space-Time Signal Design,”
Computer Journal ofIEEE on Selected Areas in Communications, vol. 22, no. 6, pp. 1099-109, 2004.
[12] Papaulis A. and Pillai S., Probability, Random Variables and Stochastic Process, McGraw Hill,2006.
[13] Proakis J., Digital Communications, McGraw Hill, 1995.
[14] Sendonaris A., Erkip E., and Aazahang B., “User Cooperation Diversity Part I and Part II,” Computer Journal of IEEE
Transactions onCommunications, vol. 51, no. 11, pp. 1927-1948, 2003.
[15] Yanikomeroglu H., “Fixed and Mobile Relaying Technologies for Cellular Networks,” inProceedings of Second Workshop
Applications Services Wireless Networks, France, pp. 75-81,2002.
[16] Zhao B. and Valenti M., “Practical Relay Networks: A Generalization of Hybrid-ARQ,” Computer Journal of IEEE Selected
AreasCommunications, vol. 23, no. 1, pp. 718-723, 2005.
[17] Zori M. and Rao R., “Geographic Random Forwarding (Geraf) fr Ad hoc ad Sensor Networks: Multihop Performance,”
ComputerJournal of IEEE Transactions on Computer, vol. 2, no. 4, pp. 337-348, 2003.
[18]Zori M. and Rao R., “Geographic Random Forwarding (Geraf) for Ad hoc and Sensor Networks: Energy and Latency
Performance,” Computer Journal of IEEE Transactions on Mobile Computing, vol. 2, no. 4, pp. 349-365,2003.
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

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

  • 1. 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.
  • 2. 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   
  • 3. An Energy-Efficient Dual Hop… 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  
  • 4. An Energy-Efficient Dual Hop… 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
  • 5. An Energy-Efficient Dual Hop… 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. REFERENCES [1] Balakrishnan N. and Cohen A., Order Statistics and Inference: Estimation Methods, AcademicPress, 1991. [2] Bletsas A., Khisti A., Reed D., and Lippman A.,“A Simple Cooperative Method Based on Network Path Selection,” Computer Journal ofIEEE Journal Selected Areas Communications, vol. 4, no. 2, pp. 159-163, 2005. [3] DaConne, C., Il-Min Kim’’ Outage probability of multi-hop amplify-and-forward relay systems” IEEE Transactions on Wireless Communications, Volume:9 , Issue: 3 ,March 2010 [4] M Elkashlan, PL Yeoh, N Yang, TQ Duong, C Leung, “A comparison of two MIMO relaying protocols in Nakagami-m fading”. IEEE Trans. Vehicular Technol., 1416–1422 ,2012 [5] Ahasanun Nessa, Qinghai Yang, and Kyung-sup Kwak,” Performance Analysis of Two-Hop Cooperative MIMO Transmission with Best Relay Selection in Rayleigh Fading Channel”, The International Arab Journal of Information Technology, Vol. 8, No. 1, January 2011 [6] Qi, J., Aissa, S. ; Alouini, M ,“Dual-hop amplify-and-forward cooperative relaying in the presence of Tx and Rx in-phase and quadrature-phase imbalance”, Communications, IET Volume:8 , Issue: 3 , Feb 2014 [7] Jinlong Wang, Yuzhen Huang, CaijunZhong, Fawaz Al-Qahtani, QihuiWu1 and Yunpeng Cheng,” Performance analysis of interference-limited dual-hop multiple antenna AF relaying systems with feedback delay”, EURASIP Journal on Wireless Communications and Networking , 2013 [8] FS Al-Qahtani, J Yang, RM Radaydeh, H Alnuweiri, “On the capacity of two-hop AF relaying in the presence of interference under Nakagami-m fading”. IEEE Commun. Lett., 19–22 ,2013 [9] C Zhong, H Suraweera, C Yuen, A Huang, Z Zhang, “Outage probability of dual-hop multiple antenna AF relaying systems with interference”. IEEE Trans. Commun., 108–119 ,2013 [10] Laneman J. and Wornell G., “Distributed Space-Time Coded Protocols for Exploiting Cooperative Diversity in Wireless Networks,”Computer Journal of IEEE Transactions onInformation Theory, vol. 50, no. 2, pp. 2415-2525, 2003. [11] Nabar R., Bölcskei H., and Kneubühler F., “Fading Relay Channels: Performance Limits and Space-Time Signal Design,” Computer Journal ofIEEE on Selected Areas in Communications, vol. 22, no. 6, pp. 1099-109, 2004. [12] Papaulis A. and Pillai S., Probability, Random Variables and Stochastic Process, McGraw Hill,2006. [13] Proakis J., Digital Communications, McGraw Hill, 1995. [14] Sendonaris A., Erkip E., and Aazahang B., “User Cooperation Diversity Part I and Part II,” Computer Journal of IEEE Transactions onCommunications, vol. 51, no. 11, pp. 1927-1948, 2003. [15] Yanikomeroglu H., “Fixed and Mobile Relaying Technologies for Cellular Networks,” inProceedings of Second Workshop Applications Services Wireless Networks, France, pp. 75-81,2002. [16] Zhao B. and Valenti M., “Practical Relay Networks: A Generalization of Hybrid-ARQ,” Computer Journal of IEEE Selected AreasCommunications, vol. 23, no. 1, pp. 718-723, 2005. [17] Zori M. and Rao R., “Geographic Random Forwarding (Geraf) fr Ad hoc ad Sensor Networks: Multihop Performance,” ComputerJournal of IEEE Transactions on Computer, vol. 2, no. 4, pp. 337-348, 2003. [18]Zori M. and Rao R., “Geographic Random Forwarding (Geraf) for Ad hoc and Sensor Networks: Energy and Latency Performance,” Computer Journal of IEEE Transactions on Mobile Computing, vol. 2, no. 4, pp. 349-365,2003. 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