Tractable computation in outage performance analysis of relay selection NOMA

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vol. 18, No. 3, June 2020, pp. 1137~1144
ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018
DOI: 10.12928/TELKOMNIKA.v18i3.12826  1137
Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA
Tractable computation in outage performance
analysis of relay selection NOMA
Minh-Sang Van Nguyen, Dinh-Thuan Do
Industrial University of Ho Chi Minh City (IUH), Vietnam
Article Info ABSTRACT
Article history:
Received Apr 3, 2019
Revised Jan 13, 2020
Accepted Feb 14, 2020
In recent years, using full-duplex (FD) transmission model provides
enhanced bandwidth efficiency and improved performance for
non-orthogonal multiple access (NOMA) system. However, lack of papers
have investigated FD relay together with relay selection issue to improve
performance of NOMA system. The problems in power allocation for two
NOMA users satisfying fairness as well as relay selection strategy are studied
in this paper. By considering the outage performance of proposed scheme
with its vital result, general NOMA wireless networks can be developed for
future networks due to its improved performance. Simulation results show
that the relaying selection scheme can achieve a significant performance
improvement by increasing required quantity of relay.
Keywords:
NOMA
Outage probability
Relay selection
This is an open access article under the CC BY-SA license.
Corresponding Author:
Dinh-Thuan Do,
Industrial University of Ho Chi Minh City (IUH),
Ho Chi Minh City, Vietnam.
Email: dodinhthuan@iuh.edu.vn
1. INTRODUCTION
In recent years, non-orthogonal multiple access (NOMA) has attracted a lot of research works due
to increasing number of connections. Furthermore, it is considered as one of the modern technologies applied
in 5th generation (5G) mobile networks in order to considerably enhance the system spectral efficiency for
5G communication networks [1-4]. In NOMA, multiple users have their signals which are incorporated into
mixed signal in power domain. As a result, these users in NOMA are served in the same domain such as
time, frequency or code domain. To overcome bad channel condition, NOMA procedure mainly allocates
greater transmit power dedicated for users suffering from weak channel conditions. In this scenario,
by treating others’ signal as noise, these weak users can detect and decode its symbols precisely due to
greater power level distributed for far user. On the other hand, based on the successive interference
cancellation (SIC) technique, users which have strong channel conditions are capable to detect its own signal.
In addition, as compared to the OMA system, there is a significant improvement in NOMA throughput
performance [2, 5]. Recently, cooperative networks are introduced as in [6, 7], the author focused on system
evaluation related to processing signal at relay and outage probability is guaranteed. Fortunately, such
cooperative schemes can be combined with NOMA to reform cooperative NOMA. In particular, it need be
investigated performance and it can be enhanced by employing NOMA scheme into system model.
In principle, by utilizing SIC, the received message is decoded at the receiver while the transmitter treating
interference signal and such NOMA is proposed in NOMA technique as in [8]. Outage probability is main
metric to consider in cooperative NOMA network where the message transmission is assisted over
an amplify-and-forward (AF) relay from the source node [9]. Moreover, in [10], to increase the system

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TELKOMNIKA Telecommun Comput El Control, Vol. 18, No. 3, June 2020: 1137 - 1144
1138
performance NOMA scenario is applied and the mathematical formula in closed form of probability has also
been found. In [11], performance of randomly-deployed subscribers of a downlink network are performed in
terms of system outage probability and the achievable rate.
To improve the outage performance of all devices in the relay selection (RS) system, the authors
in [12] have proposed a two stage RS in cooperative NOMA model. Furthermore, it is similar to [12] that
in order to improve system performance, a full-duplex scheme is required to employ in NOMA as considered
model by the authors in [13]. Motivated by results in [14-25], this paper targets the concentration on
cooperative NOMA integrated with relay selection model and full-duplex scheme employed at relay nodes
by inspired by these techniques. In particular, outage and throughput performance are investigated. As main
contribution of this paper, we derive the closed-form expression in term of outage event to evaluate
system performance.
2. SYSTEM MODEL
We consider a downlink system model is shown as Figure 1, where a base station (BS) would like to
send a message to the N near user (NU) so-called as relay (R) to broadcast BS's data signal to a pair of far
users (FU) that set as device 1 (D1) and device 2 (D2). More specifically, Figure 1 illustrates the full-duplex
relay in two hop NOMA, which contains one base station (BS), two near NOMA user (strong user) that is
capable of the full-duplex transmission, and far NOMA users (weak user). In this model, we denote Dn ,
1,2n which exhibit performance gap. The BS is a single antenna transmission source while the NUs are
designed with two separated antennas for full-duplex transmission. As a result, self-interference (SI) due to
two antennas scheme still exists. We assume that there does not exist a direct link from the BS to FU, nh and
,n ig ( 1,2i ) are denoted the Rayleigh fading channel coefficients of the link BS-NU and NU-FU,
respectively. The random variables
2
nh and
2
,n ig are follow the exponential distribution with parameters
hn and ,gn i ( 1,2i ), respectively. Following principle of normal NOMA, users are distributed in order
based on the channel conditions. As show in Figure 1, we assumed that D1 and D2 are used for different data
transmission, in which D1 is used for low speed applications, and vice versa for D2 which served high speed
data rate.
Figure 1. System model of relay selection NOMA with full-duplex transmission
The transmission between the BS-NU and NU-FU are divided into two phases. In the early phase,
the BS sends the superposition signal, 1 1 2 2a x a x+ with power allocation factors satisfying 2 2
1 2 1a a+ = , where
1x and 2x denotes the message for BS sent to intermediate devices and then these signal intend to transmit to
D1 and D2, 2
ia denotes the power allocation factor for message ix . In this FD scheme, SIx denotes
self-interference signal. In such case, the residual loop self-interference (SI) is set as a Rayleigh fading
feedback channel with the coefficient SIh , and random variables
2
SIh is also follows the exponential
D1
Base station D2
Communication Link

TELKOMNIKA Telecommun Comput El Control 
Tractable computation in outage performance analysis of… (Minh-Sang Van Nguyen)
1139
distribution with mean value hsi . Because of it must be satisfied quality-of-service (QoS) requirements, it is
assumed that 1 2a a .
Therefore, the received signal at the NU user, i.e., n-th relay, 1 n N  can be given as:
1 1 2 2( ) ,r
n S n R SI SI Ry P h a x a x P h x n= + + + (1)
where SP denote the transmission power at the source, Rn stands for the additive Gaussian noise (AWGN) at
n-th NU user with zero mean and variance 0N .
It need be computed SNR at the relay to detect signal of 1x :
22
1
1, 2 22
2 0
.S n
SR n
S n R SI
P a h
P a h P h N


=
+ +
(2)
Then, SNR is computed to decode signal 2x after requiring SIC procedure:
22
2
2, 2
0
.S n
SR n
R SI
P a h
P h N


=
+
(3)
We call UP as transmit power at the selected relay, Din denotes the AWGN at Di, i.e., ( )0~ 0,Din CN N .
In this case, the received signal at far user D1, D2 are given as following equation:
 , , 1 1 2 2( ) , 1,2 .d
n i U n i Diy P g a x a x n i= + +  (4)
We then compute SNR at user D1 to attain signal 1x :
22
1 ,1
1, 22
2 ,1 0
.
U n
RU n
U n
P a g
P a g N
 =
+
(5)
We then consider SNR at user D2 to eliminate interference signal 1x and it can be computed by:
22
1 ,2
12, 22
2 ,2 0
.
U n
RU n
U n
P a g
P a g N
 =
+
(6)
Similarly, at relay, SIC is performed at user D2 to decode its own signal 2x :
22
2 ,2
2,
0
.
U n
RU n
P a g
N
 = (7)
Then, we consider on criteria to relay selected to signal forwarding to far users. In particular, the index of
best relay 1
*n is selected to provide a maximum end-to-end SNR among the BS-NU-D1 links as:
( ) 1
1, 1,
1,2,
* argmax min , .SR n RU n
n N
n  
=
= (8)
Similarly, the index of best relay 2
*n is selected to provide a a maximum end-to-end SNR among
the S-NU-D2 links as:

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( ) 2
2, 12, 2,
1,2,
* argmax min , , .SR n RU n RU n
n N
n   
=
= (9)
3. SYSTEM PERFORMANCE ANALYSIS
3.1. Performance of user D1
In the scenario of FD mode, we provide following results:
Proposition 1: The closed-form expression of outage probability at user D1
( )( )
( )
1 1, 1 1, 1
1, ,
1, 1 1, 1
1
min Pr
1 Pr , .
FD FD FD
SR n RU n
n N
N
FD FD
SR n RU n
n
A
OP    
   
=
=
=   
 
 = −  
 
 

(10)
Proof:
In which, it can be computed components as:
( )
( ) ( )( )
1, 1 1, 1
2 22 2 22 2 2 2
1 1 2 0 1 ,1 1 2 ,1 0
Pr ,
Pr , .
FD FD
SR n RU n
FD FD
S n S n R SI U n U n
A
P a h P a h P h N P a g P a g N
   
  
=  
=  + +  + (11)
Then it is rewritten as:
( ) ( )
2
22 1 1 0 1 0
,12 2 2 2
1 1 2 1 1 2
1 2
Pr Pr
.
FD FD
R SI
n nFD FD
S U
P h N N
A h g
P a a P a a
A A
   
 
   +
   =   
   − −   
= 
(12)
In this case, we have two calcualations as below:
( )
( )
( )
( )
2
2 1 1 0 2 2
1 1 1 22 2
1 1 2
2 2
1 1 21 0
2 2 2 2
1 1 2 1 1 1 2
Pr ; :
exp ,
FD FD
R SI FD
n FD
S
FDFD
S hn
FD FD FD
S hn R hsi S hn
P h N
A h if a a
P a a
P a aN
P a a P P a a
  


 
      
 +
 =  
 − 
  −
 = −
 − + − 
(13)
and
( ) ( )
2 1 0 1 0
2 ,1 2 2 2 2
1 1 2 1 1 2 ,1
Pr exp .
FD FD
n FD FD
U U gn
N N
A g
P a a P a a
 
  
   
   =  = −
   − −   
(14)
Then A is rewritten as:
( )
( )
( ) ( )
( )
( ) ( )
2 2
1 1 21 0 1 0
2 2 2 2 2 2
1 1 2 1 1 1 2 1 1 2 ,1
2 2
1 1 2 1 0 1 0
2 2 2 2 2
1 1 1 1 2 1 1 2 1
exp exp
exp
FDFD FD
S hn
FD FD FD FD
S hn R hsi S hn U gn
FD FD FD
S hn
FD FD FD
R hsi S hn S hn U
P a aN N
A
P a a P P a a P a a
P a a N N
P P a a P a a P a
  
        
   
      
   −
   = − −
   − + − −   
−
= − −
+ − − ( )2
1 2 ,1
.FD
gna 
 
 
 − 
(15)
Therefore, such outage probability for user D1 is given by:

1141
( )
( )
( ) ( )
2 2
1 1 2
2 2
1 1 1 2
1
1
1 0 1 0
2 2 2 2
1 1 2 1 1 2 ,1
1
,
exp
FD
S hn
FD FD
N R hsi S hn
FD
FD FDn
FD FD
S hn U gn
P a a
P P a a
OP
N N
P a a P a a
 
    
 
   
=
 −
 −
 + −
 =
  
   − −
  − −  
 (16)
where 1
1 2 1RFD
 = − .
Similarly, in HD mode, such outage performance can be shown as:
( ) ( )
1 0 1 0
1 2 2 2 2
1 1 1 2 1 1 2 ,1
1 exp ,
HD HDN
HD
HD HD
n S hn U gn
N N
OP
P a a P a a
 
   =
  
  = − − −
  − −  
 (17)
where 12
1 2 1RHD
 = − .
3.2. Performance of user D2
To consider performance of user of D2, the related outage probability can be given by:
Proposition 2: The closed-form expression of outage probability at user D2 can be given by:
( )( )
( )
2 2, 2 12, 1 2, 2
1, ,
2, 2 12, 1 2, 2
1
min Pr
1 Pr , , .
FD FD FD FD
SR n RU n RU n
n N
N
FD FD FD
SR n RU n RU n
n
B
OP      
     
=
=
=     
 
 = −   
 
 

(18)
Proof:
It can be computed that:
( )2, 2 12, 1 2, 2
2 22 2 22
1 ,2 2 ,22
2 1 22 22
00 2 ,2 0
1 2
Pr , ,
Pr Pr ,
.
FD FD FD
SR n RU n RU n
U n U nS n FD FD FD
R SI U n
B
P a g P a gP a h
NP h N P a g N
B B
     
  

=   
  
  =    
   + +   
= 
(19)
We can computed each part as follows:
22
2
1 22
0
2
2 2 0
2 2
2 2 2
Pr
exp ,
S n FD
R SI
FD
S hn
FD
R hsi S hn S hn
P a h
B
P h N
P a N
P P a P a


 
    
 
 = 
 + 
 
= − 
+  
(20)
and
( )
2 2 2 20 1 0 2
2 ,2 ,2 1 2 122 2
21 2 1
,2
Pr , ; :
exp ,
FD FD
FD
n nFD
UU
FD
gn
N N
B g g if a a
P aP a a
 




 
 =   
 − 
 
= −  
 
(21)
Then, we have:

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1142
2
2 2 0
2 2 2
1 ,22 2 2
1 exp ,
FD FDN
FD S hn
FD
n gnR hsi S hn S hn
P a N
OP
P P a P a
  
    =
  
 = − − −   +   
 (22)
where
2
2 2 1RFD
 = − ,
( )
0 1 0 2
22 2
21 2 1
max ,
FD FD
FD
FD
UU
N N
P aP a a
 


 
 =
 − 
.
Similarly, in HD mode such outage metric for user D2 is formulated by:
2 0
2 2
1 ,22
1 exp ,
HD HDN
HD
n gnS hn
N
OP
P a
 
=
  
 = − − −   
  
 (23)
where
2
2 2 1RHD
 = − ,
( )
0 1 0 2
22 2
21 2 1
max ,
HD HD
HD
HD
UU
N N
P aP a a
 


 
 =
 − 
.
4. SIMULATION RESULT
In this section, we present numerical results to evaluate analytical expressions calculated in previous
part. The power allocation coefficients of NOMA is 1 0.8a = for D1. As the observation, Figure 2 and
Figure 3 plot the outage probability for proposed NOMA for two far NOMA users described as in figures.
In this scenario, relay selection scheme is applied for further improvement of outage behavior. Observing
the Figure 2, one can conclude that much power allocated to user D1 results in better outage performance.
In addition, both Figure 2 and Figure 3 manifest that RS NOMA can remarkably increase the outage
performance as if reasonable selection of FD/HD mode is given. Moreover, when we change transmit power
at relay, the gap performance regarding the outage probabilities achieved by RS NOMA can be seen clearly
at such high transmit power at relay.
Figure 2. Comparison on FD and HD of both far
users versus transmit SNR at the BS as varying
1a ( ,1 1hn gn = = , ,2 10gn = , 0.01hsi = ,
( )20R UP P dB= = , 1 0.5R = , 2 1R = , 0 1N = , 1N = )
Figure 3. Outage performance comparison on FD
and HD of both users versus transmit power at relay
as varying UP ( ,1 1hn gn = = , ,2 10gn = , 0.01hsi = ,
( )20RP dB= , 1 0.5R = , 2 1R = , 0 1N = , 1N = )
In Figure 4, it can be observed that the outage probability varies according to the different values of
self-interference channel. The exact outage probability curves of proposed RS NOMA with higher level of SI

1143
will be resulted in worse outage performance. It is observed that the superiority of full duplex function in RS
NOMA is no longer apparent with the very large values of SI (i.e. as 1hsi = (dB)). Therefore, it is essential
to consider the influence of SI when designing practical full duplex antenna in such NOMA systems.
In Figure 5, we evaluate impact of the number of relay at relay selected. Better performance can be
observed at higher number of relay selected. We compare the outage behavior of different cases considering
the number of relay. It can be observed from Figure 5 that for the proposed scheme, the analytical outage is
improved at 2N = . In addition, Figure 5 also shows that the proposed scheme can obtained clear outage
performance gap as higher SNR raised.
Figure 4. Outage performance comparison in case of
FD mode for both far users versus transmit power at
the BS as varying hsi ( ,1 1hn gn = = , ,2 10gn = ,
0.01hsi = , ( )20R UP P dB= = , 1 0.5R = , 2 1R = ,
0 1N = , 1N = ).
Figure 5. Outage performance comparison on FD
and HD of both far users versus transmit power at
the BS as varying N ( ,1 1hn gn = = , ,2 10gn = ,
0.01hsi = , ( )20R UP P dB= = , 1 0.5R = , 2 1R = ,
0 1N = ).
5. CONCLUSION
In this study, we suggested applying relay selection scheme in NOMA scheme to evaluate system
outage performance. As most important thing, full-duplex scheme is also studied. The considered NOMA
scheme is assessed and compared with the different scenarios in terms of system outage. By achieving outage
with appropriate selection of number of relay, it can be observed from the simulation result that the proposed
NOMA with improved performance can be applied in real NOMA design. For further research topics, with
more than two users we may consider a generalization of relay selection policies and performance
investigation for randomly distributed NOMA users.
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