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Outage Probability Analysis for a Two-Way Relay Network with User Selection in the Presence of Interference
Outage Probability Analysis for a Two-Way Relay Network with User Selection in the Presence of Interference
Journal of Broadcast Engineering. 2016. Jan, 21(1): 109-112
Copyright © 2016, The Korean Society of Broadcast Engineers
  • Received : November 12, 2015
  • Accepted : January 25, 2016
  • Published : January 30, 2016
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About the Authors
영 훈 권
경 래 임
imgrae@snu.ac.kr
재 홍 이

Abstract
This paper analyzes the outage performance of a two-way relay network in the presence of interference from multiple interferers. We investigate a two-way relay network where a single user communicates with a selected other user via a relay during three phases. We propose a user selection scheme and analyze an outage probability. Numerical results verify our analysis by comparison with computer simulation and show effects of the number of users and the number of interferers on its the outage probability.
Keywords
Ⅰ.Introduction
In a wireless network, relay communication improves reliability and coverage [1] - [3] . Recently, there have been growing interests of two-way relay networks in order to improve spectral efficiency. In practical environment, the performances of relay networks are degraded by interference [4] - [5] . However, Furthermore, the performance analysis of multiuser two-way relay network in the presence of interference has not been investigated.
In this paper, we investigate a multiuser two-way relay network where both the users and the relay receive interfering signals from multiple interferers and time-division-broadcast protocol is used. In our model, a multiuser diversity is exploited by user selection which the relay selects a user based on signal-to-interference-plus-noise-ratio (SINR). The analysis is verified by the simulation.
This paper is organized as follows. We describe the system model in section II, and analyze the outage probability in section III. Numerical results are shown in section IV and conclusion is given in section V.
Notation : fX (·) denotes the probability density function (PDF) of a random variable X . The complex normal distribution with mean a and variance b is denoted by CN ( a , b ) and the gamma distribution with a shape parameter c and a scale parameter d is denoted by G ( c , d ).
Ⅱ. System Model
Consider a multiuser two-way decode-and-forward relay network which consists of multiple users A , B 1 , B 2 , ⋯, BK , and a relay R as shown in Fig. 1 . The user A communicates with one among B 1 , B 2 , ⋯, BK via the relay R during three phases. Suppose that each terminal has a single antenna and operates in a half-duplex mode. Assume that each terminal is impaired by multiple interferers and each interferer has transmit power PI . Assume that each terminal is also impaired by the additive white Gaussian noise (AWGN) with zero mean and unit variance. Assume that there is no direct link between the user A and the user Bk .
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System model of a multiuser two-way DF relay network having multiple interferers 그림 1. 다중 간섭이 존재하는 다중 유저 양방향 복호 후 전송 릴레이 네트워크 시스템 모델
Assume that each channel from a terminal to another terminal and other each channel from an interferer to a terminal are independent. Assume that each channel is reciprocal and has Rayleigh quasi-static fading such that the channel coefficients remain unchanged during three phases. Let ha,R ~ CN (0, Ω a,R ) denote the independent channel coefficient from the user a to the relay R, a A, Bk . Let gIA,i,A ~ CN (0,Ω IA,i,A ), gIR,j,R ~ CN (0,Ω IR,j,R ), and gIBm,i,Bk ~ CN (0,Ω IBk,m,Bk ) denote the independent channel coefficient from i -th interferer affecting the user A to the user A , from j -th interferer affecting the relay R to the relay R , and from m -th interferer affecting the user Bk to the user Bk , respectively.
In the first phase, the user A transmits its signal xA with transmit power PA to the relay R . The received signal at the relay R is given by
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where
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is transmitted signal from the m -th interferer affecting the relay R in the first phase,
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is the AWGN at the relay R in the first phase, and NR is the number of interferers affecting the relay R .
In the second phase, the user Bk transmits its signal xBk with transmit power PBk to the relay R . The received signal at the relay R is given by
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where
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is transmitted signal from the m -th interferer affecting the relay R in the second phase, and
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is the AWGN at the relay R in the second phase.
In the third phase, the relay R broadcasts its signal xR = xA xBk with power PR where ⊕ is the XOR operation. The received signals at the user A and the user Bk are given by
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and
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respectively, where xIA,i,A and xIj,Nk,Bk are transmitted signal from the i -th interferer affecting the user A and the j -th interferer affecting the user Bk , respectively, nA and nBk are the AWGN at the user A and the user Bk , respectively, and NA and Nk are the number of interferers affecting the user A and the user Bk , respectively.
The SINR at the relay R in the first phase and the second phase are given by
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and
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respectively.
The SINRs at the user A and the user Bk in the third phase are given by
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and
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respectively.
Assume that perfect channel state information is available at the relay R aiming to find one user Bk who has maximum SINR γR,Bk . Let D denote the set of users whose signals are decoded successfully at the relay R in the second phase. The relay R selects the user which has the largest SINR among the users in the set D , that is,
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III. Outage Probability
For simplicity, assume that PBk = PB , Nk = NB , and Ω Bk,R = Ω B,R k , Ω IBk,i,Bk = Ω IB,B , ∀ i,k , and Ω IA,iA = Ω IA,A , ∀ i , Ω IR,m,R = Ω IR,R m .
The probability that the cardinality of the set D is l is given by
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where
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Outage event occurs if γ A,R , γ Bk,R , γ R,A , or γ R,Bk is less than a target SINR threshold γth The outage probability is given by
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where
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and
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and the random variables Z ~ G ( NR , PI Ω IR,R ), V ~ G ( NA , PI Ω IA,A ), and Wk ~ G ( NB , PI Ω IB,B ) are Gamma random variables.
IV. Numerical Results
In this section, numerical results verify our analysis by comparison with computer simulation where we suppose that A , R , and Bk have same transmit power P and the target SINR threshold γth is 7 dB.
Fig. 2 shows the outage probability versus the transmit power for the number of interferers, N = 2 and various the number of users, K . In this figure, the interference transmit power is fixed at 0 dBm. It is shown that the outage probability decreases as the transmit power increases. It is shown that outage probability when K = 2 is lower than that when K = 1. It is also shown that the outage probability when K = 4 is slightly lower than that when K = 2 in the low transmit power, and is almost same with that when K = 2 in the high transmit power which implies that the outage probability is less affected by the number of multiple users K as K is bigger than 2. This is because the outage performance mainly depends on the link between the user A and the relay R as the transmit power increases.
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Outage probability versus P for various K. N = 2 . 그림 2. K 가 바뀔 때의 P 에 대한 불능확률. N = 2
V. Conclusion
In this paper, we consider the multiuser two-way DF relay network where a single user communicates with a selected other user via a relay. We propose a user selection criterion and derive expression of outage probability. Considering the user selection, SINR at the relay in the second phase is just used for the decoding set composition and SINR at the one user who is included in the decoding set in the third phase is used for final user selection. Analysis is verified by computer simulation.
References
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