Outage Probability of Selection Relaying Networks with Distributed Switch and Stay Combining over Rayleigh Fading Channels Thanh Tran-Thien and Tuan Do-Hong

Vo Nguyen Quoc Bao

Telecommunication Department Wireless Communication Department Ho Chi Minh City University of Technology, Vietnam Posts and Telecommunications Institute of Technology, Vietnam Email: [email protected], [email protected] Email: [email protected]

Abstract—We propose and analyze a distributed switch and stay combining network with selection relaying with an aim to reduce the complexity at the destination as well as to make efficient use of the degrees of freedom of the channels by exploiting a limited feedback signal from the destination. In particular, whenever the currently connected link (either from the source or from the best relay) to the destination is not favorable to decoding, the destination will switch to the alternative link as per the rule of switch and stay combining. The performance of the proposed system is derived in terms of outage probability and achievable spectral efficiency. The analytic results show that the proposed system assisted by the selection relaying exhibits a higher spectral efficiency than incremental relaying with selection relaying at low SNR regime. Monte-Carlo simulations are performed to verify the analysis. Index Terms—switch and stay combining, selection relaying, incremental relaying, decode-and-forward, Rayleigh fading, outage probability.

I. I NTRODUCTION It is well known that cooperative communications are viewed as a promising technique for wireless networks to improve coverage and to provide high data rate services in a cost-effective manner. The main idea is that in a multiuser network, two or more users share their information and transmit jointly as a virtual antenna array. This enables them to obtain higher diversity than they could have individually. Several cooperative protocols with different signal processing techniques at relays, including amplify-and-forward (AF), decode-and-forward (DF), and coded cooperation (CC), have been well studied in the literature [1], [2] In most recent publications on the cooperative diversity networks, a distributed relay selection, called opportunistic relaying or selection relaying, is proposed for a two-hop AF (or DF) cooperative system that can obtain full diversity order, where the selected criterion is the best instantaneous SNR composed of the SNR across the two-hops [3], [4]. Although, these protocols are very simple and do not demand any significant modification in the existing communication layers that have been designed for conventional non-cooperative systems, they lead to a certain loss in the channel resource, especially for high rates, since the best relay chosen by the relay selection

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procedure repeats all the time, making inefficient use of the degrees of freedom of the channels. To overcome such a problem as well as to balance the traffic load between the source and the relay(s), the concept of distributed switch-and-stay combining (SSC) with a limited feedback from the destination was introduced for cooperative networks as an efficient protocol in terms of spectral efficiency. Thus far, many efforts have been made for cooperative systems with distributed SSC, e.g. see [6], [7], [8], [9]. In particular, the distributed SSC with one or two relays was studied in [6], [7], [8]. Their numerical results have showed that these systems could achieve beneficial effects of spatial diversity with employing actual combining technique at the destination. Recently, in [9], the combination of distributed SSC and relay selection have been proposed and investigated in terms of bit error rate. To the best of the authors’ knowledge, there is no published work concerning the performance in terms of outage probability of distributed SSC in conjunction with selection relaying. Motivated by this, in this paper, we study the performance of distributed switch and stay combining networks with selection relaying for an arbitrary number of relays in terms of outage probability and achievable spectral efficiency. In addition, performance of incremental relaying with selection relaying is investigated for the purpose of comparisons. The rest of this paper is organized as follows. In Sect. 1, we introduce the model under study and describe the proposed protocol. Section III shows the formulas allowing for evaluation of outage probability and achievable spectral efficiency of the system. In Sect. IV, we contrast the simulations and the results yielded by theory. Furthermore, some discussions on the behavior of the proposed system at low and high SNR regime are provided. Finally, the paper is closed in Sect. V. II. S YSTEM M ODEL We consider a wireless relay network consisting of one source (S), N relays Ri with i = 1, 2, . . . , N and one destination (D) operating over Rayleigh fading channels as illustrated in Fig. 1. Due to the use of relay selection by employing the distributed timer fashion as suggested in [10], the source

the destination. Similarly as in [4], [5], [11], the dual-hop instantaneous SNR of the best relay at the destination can be tightly approximated in the high SNR regime as follows: γR = max γi i=1,...,N

Fig. 1.

System Model.

information can reach to the destination either directly through the S − D link or indirectly through the relaying link, denoted as D and R, respectively. In each transmission slot, the destination connects with only one of the two links as per the rule of switch-and-stay combining. The network can be viewed as a virtual switch dual-diversity system where the destination cyclically switches between the direct and relaying link according to their instantaneous end-to-end signal-to-noise ratio (SNR). The switching occurs when the instantaneous signal-noise-ratio (SNR) of the currently connected link falls below the given switching threshold, denoted by T , regardless the current instantaneous SNR of the alternative link. This process becomes effective during the following transmission slot by utilizing a limited feedback sent to the source and all cooperative relays. To that effect, the channel fading is assumed to be slow enough that the fading envelope of each signal is constant over two consecutive transmission slots. Whenever the relaying link is connected to the destination, i.e., B = R, the communication is divided into two subslots where B denotes the active link. In the first sub-slot, the source broadcasts its data to all relays as well as the destination and the best relay providing highest instantaneous SNR composed of the SNRs across the two sub-slots will serve as the forwarder in the second sub-slot using decodeand-forward protocol. We assume that each node in the network is equipped with single antenna and operates in half-duplex mode. Let hSD , hSRi and hRi D be the link coefficients between the source to the destination, the source to the relay i and the relay i to the destination. Due to Rayleigh fading, the channel powers, denoted by α0 = |hSD |2 , α1,i = |hSRi |2 and α2,i = |hRi D |2 , are independent and exponential random variables whose means are λ0 , λ1,i and λ2,i , respectively. The average transmit power for the source and the relays is denoted by Ps . Let us define the instantaneous signal to noise (SNR) for S → D, S → Ri and Ri → D links as γD = Ps α0 , γ1,i = Ps α1,i and γ2,i = Ps α2,i , respectively. We begin by considering the case when the destination is being connected to the relaying link. Since un-coded modulation is used, the relays equipped with fixed decode-and-forward protocol cannot detect any erroneous detection. Therefore, the best relay may forward incorrectly decoded signals to

(1)

where γi = min(γ1,i ; γ2,i ). Since γ1,i and γ2,i are exponentially distributed random variables with hazard rates −1 −1 = 1/(Ps λ1,i ) and μ2,i = γ¯2,i = 1/(Ps λ2,i ), μ1,i = γ¯1,i respectively, the minimum of two independent exponential random variables γi is again an exponential random variable with a hazard rate equals to the sum of the two hazard rates −1 −1 + γ¯2,i . [12], i.e., γ¯i−1 = γ¯1,i Under Rayleigh fading channels and recalling the assumption of independence among the channels, the joint CDF of γR is given by FγR (γ)

= =

N  i=1 N 

Fγi (γ) [1 − exp (−γ/¯ γi )]

(2)

i=1

Similarly, if the destination is connected to direct link, i.e., B = D, in a flat Rayleigh fading channel, the CDF of γD can be expressed as γ FγD (γ) = 1 − e− γ¯0 (3) where γ¯0 = Ps λ0 . III. P ERFORMANCE A NALYSIS A. Switch and Stay Combining for Selection Relay networks (SSCSR) To find the outage probability of the SSCSR networks, we shall need to evaluate the steady state selection probability for each branch defined as the percentage of time that branch will serve as an active branch [13]. Mathematically speaking, we have FγR (T ) (4a) pD = Pr(B = D) = FγD (T ) + FγR (T ) FγD (T ) (4b) pR = Pr(B = R) = FγD (T ) + FγR (T ) where FγZ (T ) can be readily obtained by evaluating FγZ (γ) at γ = T with Z ∈ {D, R}. With the steady state selection probability for each branch in hand and using the law of total probability, the outage of SSCSR networks is derived as   Pr(γD > T ) Pr {O|(B = D, γD > T )} Pr(O) = pD + Pr(γD ≤ T ) Pr {O|(B = R)}   (5) Pr(γR > T ) Pr {O|(B = R, γR > T )} + pR + Pr(γR ≤ T ) Pr {O|(B = D)} where Pr(γZ ≤ T ) = 1 − Pr(γZ > T ) = FγZ (T ) with Z ∈ {R, D}. Furthermore, by introducing t ∈ {T, 0} and noting that Pr {O|(B = Z)} = Pr {O|(B = Z, γZ ≥ 0)}, the

conditional outage probabilities can be expressed under the general form as follows:  Fγ (γth )−Fγ (z) Z Z Z , z ≤ γth 1−FγZ (z) Pr {O|(B = Z, γZ > t)} = (6) Z 0 , z > γth

Pr(O) = Pr(γD ≤ T ) Pr {O|(B = R)} + Pr(γD > T ) Pr {O|(B = D, γD > T )}

(8)

Because the relaying link relay is only demanded when the SNR of the direct link is lower than the given switching threshold, T . The spectral efficiency of IRSR schemes, denoted by ¯ , can be obtained as R ¯ = Pr(γD > T )r + Pr(γD ≤ T ) r R     2  r T T = exp − r + 1 − exp − γ¯0 γ¯0 2    r T (9) = 1 + exp − γ¯0 2 C. Optimal value of the switching threshold Since Pr(O) given in (5) and (8) is a continuous function of the switching threshold, T , it is interesting to determine the optimal value of T , T ∗ , defined as the value that makes the Pr(O) minimal given that target spectral efficiency r. Mathematically speaking, this optimal value T ∗ is a solution of the equation

d Pr(O)

=0 (10) dT T =T ∗ Apparently, with the current forms of (5) and (8), the optimal threshold T ∗ cannot be expressed in an explicitly closed-form but can be numerically found by solving (10). It is noted that the numerical task in here can be readily done with the help of the MATLAB function fminbnd in the optimization toolbox.

0 dB 5 dB −1

10

10 dB −2

Outage Probability

10

15 dB −3

10

−4

10

20 dB

−5

10

−6

10

0

0.5

1

1.5

2

2.5 T

3

3.5

4

4.5

5

Fig. 2. Effects of the switching threshold on outage probability for SSCSR systems (r = 1, N = 1: red lines and N = 3: blue lines).

0

10

0 dB 5 dB

−1

10

10 dB −2

10 Outage Probability

D R where γth = 2r − 1 and γth = 22r − 1 denote the outage threshold (expressed in terms of target spectral efficiency r) of the direct and relaying link, respectively, Based on the steady state selection probabilities, the achievable spectral efficiency of the proposed scheme can be expressed as ¯ = pD r + p R r (7) R 2 B. Incremental Relaying for Selection Relay (IRSR) networks For the purpose of comparison, we also study performance of IRSR network in terms of outage probability. Similar to SSRSR networks, IRSR networks also utilize the limited feedback (sent from the destination to the source and relays) to indicate the success or failure of the direct transmission. However, different from SSCSR networks, in each transmission slot, the destination always checks the quality of the received signal sent from the source to demand the help from the best relay or not. Furthermore, it should be emphasized that no diversity combiner is used at the destination in IRSR networks. Same as the conventional incremental protocol with one relay, the outage probability of IRSR schemes without diversity combiner can be written as

0

10

15 dB −3

10

20 dB

−4

10

−5

10

−6

10

0

0.5

1

1.5

2

2.5 T

3

3.5

4

4.5

5

Fig. 3. Effects of the switching threshold on outage probability for IRSR (r = 1, N = 1: red lines and N = 3: blue lines).

IV. N UMERICAL R ESULTS AND D ISCUSSION In this section, we validate our analysis by comparing with simulation. We consider different system configurations by varying the number of relay nodes. Specifically, numerical results are presented for N = 1, 3 and 5 with r = 1, λ0 = 1, N {λ1,i }N i=1 = 2, and {λ2,i }i=1 = 3. In Figs. 2 and 3, we investigate the effects of switching threshold, T , as well as average SNRs on the system outage probability for SSCSR and IRSR schemes, respectively. It can be clearly seen from the plots that for the same average operating SNR, increasing number of relays does not affect on the value of optimal switching thresholds for both schemes. Similarly, no change on the optimal threshold is observed since

relays, the SSCSR schemes has its spectral efficiency being a function of relays. It is evident that with the cost of a limited feedback from the destination, the advantage of IRSR and SSCSR schemes is the improvement of spectral efficiency as compared to SR schemes [4]. At high SNR values, the spectral efficiency of SSCSR with more than one relay reaches to 0.5. This phenomenon can be explained by using the fact that the destination is almost locked to the DF relaying link since the switching threshold is small in comparison with average SNRs. A similar observation can also be found for IRSR schemes at low SNRs.

0

10

N=1

−2

10

N=2

−4

Outage Probability

10

SSCSR N=1 Analysis SSCSR N=1 Simulation IRSR N=1 Analysis IRSR N=1 Simulation SSCSR N=3 Analysis SSCSR N=3 Simulation IRSR N=3 Analysis IRSR N=3 Simulation SSCSR N=5 Analysis SSCSR N=5 Simulation IRSR N=5 Analysis IRSR N=5 Simulation

−6

10

−8

10

−10

10

N=3

V. C ONCLUSION

−12

10

0

Fig. 4.

2

4

6

8 10 12 Average SNR [dB]

14

16

18

20

Outage probability for SSCSR and IRSR schemes, (r = 1).

1 SSCSR N=1 SSCSR N=3 SSCSR N=5 IRSR

0.95 0.9

Spectral Efficiency

0.85

In this paper, we extended the concept of distributed SSC with selection relaying for multi relays as well as provided the outage analysis of the proposed system. The analysis is applicable for general cases, including independent identically distributed and independent but not identically distributed Rayleigh fading channels. As expected, analytical curves match very well with the ones obtained from Monte Carlo simulations. Moreover, our analysis shows that SSCSR schemes with more than one relay give the same performance at high SNRs as compared to that of IRSR schemes. However, we should mention that in terms of spectral efficiency, under the same conditions, SSCSR and IRSR have advantage over its counterpart at low and high SNR regime, respectively.

0.8

R EFERENCES 0.75 0.7 0.65 0.6 0.55 0.5

0

Fig. 5.

2

4

6

8 10 12 Average SNR [dB]

14

16

18

20

Outage probability for SSCSR and IRSR schemes, (r = 1).

we increase the average SNRs from 5 dB to 20 dB. In addition, we notice that for the same system and channel conditions, the optimal switching threshold of SSCSR is completely different with that of IRSR. For example, it is 3 and 1 for SSCSR and IRSR schemes, respectively. In Fig. 4, we plot outage probability of SSCSR and IRSR schemes versus average SNRs with optimal switching threshold. It can be observed that for N = 1, IRSR schemes outperform SSCSR schemes, as expected. However, with N > 1, the performance of both schemes is almost the same. Observing the slope of the curves, it can be concluded that both the SSCSR and IRSR schemes attain full diversity. The characteristics of SSCSR and IRSR schemes can be further studied by observing the Fig. 5 illustrating the spectral efficiency of both systems. Compared with IRSR schemes in which the spectral efficiency is independent to number of

[1] J. N. Laneman, et al., ”Cooperative diversity in wireless networks: Efficient protocols and outage behavior,” IEEE Transactions on Information Theory, , vol. 50, pp. 3062-3080, 2004. [2] A. Nosratinia, et al., ”Cooperative communication in wireless networks,” Communications Magazine, IEEE, vol. 42, pp. 74-80, 2004. [3] A. Bletsas, et al., ”Cooperative Communications with Outage-Optimal Opportunistic Relaying,” IEEE Transactions on Wireless Communications, vol. 6, pp. 3450-3460, September 2007. [4] T. Q. Duong and V. N. Q. Bao, ”Performance analysis of selection decode-and-forward relay networks,” Electronics Letters, vol. 44, pp. 1206-1207, 2008. [5] T. Q. Duong, V. N. Q. Bao, et al., ”On the performance of selection decode-and-forward relay networks over Nakagami-m fading channels,” IEEE Communications Letters, vol. 13, pp. 172-174, 2009. [6] D. S. Michalopoulos and G. K. Karagiannidis, ”Distributed Switch and Stay Combining (DSSC) with a Single Decode and Forward Relay,” IEEE Communications Letters, vol. 11, pp. 408-410, 2007. [7] D. S. Michalopoulos and G. K. Karagiannidis, ”Two-relay distributed switch and stay combining,” Communications, IEEE Transactions on, vol. 56, pp. 1790-1794, 2008. [8] H. A. Suraweera, et al., ”Performance of Distributed Diversity Systems With a Single Amplify-and-Forward Relay,” IEEE Transactions on Vehicular Technology, vol. PP, pp. 1-1, 2009. [9] V. N. Q. Bao and H. Y. Kong, ”Distributed Switch and Stay Combining for Selection Relay Networks,” IEEE Communications Letters, vol. 13, pp. 914-916, 2009. [10] A. Bletsas, et al., ”A Simple Cooperative Diversity Method Based on Network Path Selection,” IEEE Journal on Select Areas in Communications, vol. 24, pp. 659-672, March 2006. [11] T. Wang, et al., ”High-Performance Cooperative Demodulation With Decode-and-Forward Relays,” IEEE Transactions on Communications, vol. 55, pp. 1427-1438, July 2007. [12] A. Papoulis and S. U. Pillai, Probability, random variables, and stochastic processes, 4th ed. Boston: McGraw-Hill, 2002. [13] M. K. Simon and M.-S. Alouini, Digital communication over fading channels, 2nd ed. Hoboken, N.J.: John Wiley & Sons, 2005.

Outage Probability of Selection Relaying Networks with ...

Email: [email protected], [email protected]. Vo Nguyen Quoc Bao. Wireless Communication ... incremental relaying, decode-and-forward, Rayleigh fading, out- age probability. I. INTRODUCTION. It is well ... ing techniques at relays, including amplify-and-forward (AF), decode-and-forward (DF), and coded ...

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