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Applied Sciences
, Volume 10 (3) – Feb 7, 2020

/lp/multidisciplinary-digital-publishing-institute/average-error-probability-of-an-optically-pre-amplified-pulse-position-zTrrlro8rk

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- 10.3390/app10031141
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applied sciences Article Average Error Probability of an Optically Pre-Ampliﬁed Pulse-Position Modulation Multichannel Receiver under Malaga-M Fading Konstantinos Yiannopoulos * , Nikos C. Sagias and Anthony C. Boucouvalas Department of Informatics and Telecommunications, Faculty of Economy and Technology, University of the Peloponnese, Akadimaikou G. K. Vlachou Street, GR-221 31 Tripoli, Greece; nsagias@uop.gr (N.C.S.); acb@uop.gr (A.C.B.) * Correspondence: kyianno@uop.gr; Tel.: +30-2710-372204 Received: 9 January 2020; Accepted: 3 February 2020; Published: 7 February 2020 Abstract: We present analytical results on the average probability of error (PER) performance of an optically pre-ampliﬁed pulse-position modulation (PPM) receiver under Malaga-M fading. The results are in the form of a ﬁnite sum whose number of terms depends on the PPM modulation order and the noise modes of the ampliﬁer, enabling the efﬁcient calculation of the average PER. In addition, we utilized the presented analysis to evaluate the performance of a equal-gain-combining (EGC) diversity receiver that operates in conjunction with optical ampliﬁcation and PPM. The results show that the utilization of diverse and relatively low PPM orders achieves a drastic reduction in the average PER. Keywords: semiconductor optical ampliﬁer; erbium-doped optical ampliﬁer; pulse-position modulation; diversity receiver; Malaga-M fading 1. Introduction The transmission of optical beams through the atmosphere has attracted signiﬁcant attention for the implementation of reliable, low-cost and high bandwidth links in applications where a semi-permanent optical wireless communication (OWCs) system is preferable to the deployment of optical ﬁbers. This comes at the expense, however, of introducing additional transmission losses, such as geometric losses; atmospheric absorption and scattering; and scintillations in the received power, owed to the volatile nature of the atmosphere. These effects severely affect the power budget design of the OWC link, and several methods have been proposed to improve the system performance to acceptable levels, including coding [1–3], relaying [4–7], diversity reception [8–12], optical ampliﬁcation [13,14] and combinations of the aforementioned methods. Optical ampliﬁcation is considered so as to lower the required receiver and partially alleviate the severity of fades [15–18]. An additional sensitivity improvement can be imparted by using an orthogonal modulation scheme such as pulse-position modulation (PPM) [19–22], which provides a trade-off between receiver sensitivity and bandwidth utilization. The combined effect of optical ampliﬁcation and high-order PPM may be sufﬁcient to compensate for the transmission losses and provide the required fade margin in weak fading; however, diversity reception needs to be introduced, as fading becomes more severe with the goal of averaging out the power scintillations. Previous works have addressed combinations of ampliﬁcation, PPM and diversity in OWCs [13,23]; however, they mainly focus on binary PPM, which has been shown to be less effective than on-off-keying [24]. Higher-order PPM in a pre-ampliﬁed system received limited attention in [22,25], where upper limits on the system performance are presented. Moreover, previous works considered the well-known g g Appl. Sci. 2020, 10, 1141; doi:10.3390/app10031141 www.mdpi.com/journal/applsci Appl. Sci. 2020, 10, 1141 2 of 14 fading distribution [26], but no work has addressed more general fading distributions that have been proposed recently [27,28]. In this work, we consider for the ﬁrst time, to our knowledge, the impact of generalized Malaga-M fading on the performance of an optically pre-ampliﬁed PPM receiver. To this end, we ﬁrst express the PPM probability of error (PER) as a ﬁnite sum over the modulation order and the ampliﬁcation noise modes. The sum is computationally efﬁcient and enables the derivation of a similar ﬁnite sum for the average PER in Malaga-M fading. The system with a single receiver was studied analytically in weak, moderate and strong fading, and it was shown that the modulation order has a signiﬁcant impact in the weak fading regime, but additional reception branches are required in moderated and strong fading. Diversity reception is also studied analytically in this work, and we demonstrate that it signiﬁcantly improves the average PER despite the additional noise that is introduced from using multiple ampliﬁers. In comparison with our previous works that focused on numerical integration rather than analytical investigation, the efﬁciency of the current analytical approach allows for (a) the study of generalized fading and (b) the assessment of receivers with wide optical filters. In both cases, the numerical approach proves time consuming and limits the analysis to relatively simple fading distributions (g g, negative exponential) and narrow-band receivers that are not always desirable [21]. Moreover, the current approach does not require knowledge of the combined signal fading statistics at the equal-gain-combining (EGC) output, which can be challenging to derive and is not currently available for Malaga-M fading. Instead, it provides exact results for the multi-receiver from the fading distribution of a single branch. 2. Optically Pre-Ampliﬁed PPM Receiver We considered a pre-ampliﬁed OWC receiver, as shown in Figure 1. The optical signal is collected by an aperture and ampliﬁed optically in a semiconductor optical ampliﬁer (SOA) or an Erbium doped ﬁber ampliﬁer (EDFA). It should be noted that both ampliﬁer types are applicable in OWCs, each with their own merits. EDFAs typically provide a higher gain and add less noise than SOAs, and therefore require a reduced optical power at their input, but SOAs are more compact, compatible with integration, which is important in diversity reception considered later, and one may utilize their regenerative capabilities to partially alleviate fading [15–17]. For the rest of our analysis, we do not differentiate between the two ampliﬁer types and we consider them as components that provide a gain equal to G and introduce a noise signal with a spectral density of N = n h f (G 1), where h f is sp the photon energy and n is the spontaneous emission factor of the ampliﬁer. sp Figure 1. Optically pre-ampliﬁed pulse-position modulation (PPM) receiver. OpAmp: optical ampliﬁer; Fl: optical ﬁlter; PD: photodiode; Int: time-slot integrator. The ampliﬁed PPM signal is optically ﬁltered to reject out of band noise and is converted to a photo-current using a PIN photodiode. Each PPM symbol is transmitted over Q time-slots and one of the slots contains the total symbol energy E . In order to identify the slot that contains the optical energy, the photo-current is integrated over the slot duration. The integrator output is then driven to a soft-decision PPM demodulator, where the slot with the highest signal value is identiﬁed as the energy-containing slot, and the corresponding symbol is selected as the most probable transmission. Appl. Sci. 2020, 10, 1141 3 of 14 3. PPM Probability of Error Following previous works [24,25], the electrical signal that arrives at the PPM demodulator follows a central c distribution with M degrees of freedom M1 p (x; M) = e , (1) (M 1)! during empty slots, and a non-central c distribution M1 (x+l) p (x; M, l) = e I 2 x l , (2) 1 M1 during the slot that carries the symbol energy. In the last equation I () denotes the modiﬁed Bessel function of the ﬁrst kind ([29], Equation (8.445)), l = E /N = E /N log Q and E is the optical 0 b 0 b energy per bit at the ampliﬁer output. A symbol is decoded incorrectly if the signal in one or more empty slots is higher than the signal in the energy slot, and the symbol error probability (SEP) equals ([30], Equation (1.1)) Z Z Q1 ¥ x SEP = 1 p (v; M) dv p (x; M, l) dx . (3) 0 1 0 v=0 We use the relation ([29], Equation (8.352/6)) M1 i p (v; M) dv = 1 e (4) 0 å i! v=0 i=0 and the SEP becomes Q1 M1 i SEP = 1 1 e p (x; M, l) dx å 1 i! i=0 (5) Q1 M1 ¥ i Q 1 x q+1 q x = (1) e p (x; M, l) dx . å å 1 q i! q=1 i=0 We now expand the inner sum q (M1) M1 i = b x , (6) å å i! i=0 n=0 where the b coefﬁcients are calculated from the recursive relation q1 minfn,M1g nm b = . (7) n å m! m=0 The SEP is then given by q (M1) Z Q1 Q 1 q+1 q x n SEP = (1) b e x p (x; M, l) dx (8) å å n 1 q=1 n=0 and the appearing integral is evaluated from the n-th derivative of the Laplace transform of the non-central c distribution ([24], Equation (2)) s l exp( ) 1+s P (s; M, l) = . (9) (1 + s) Appl. Sci. 2020, 10, 1141 4 of 14 Using the generating function for the Laguerre polynomials L ([29], Equation (8.975/1)) and ( ) the multiplication theorem ([31], Equation (8)), we ﬁnd that s l exp( ) d m 1+s n mn M1 mn = (1) n! (1) L (l) s n M ds (1 + s) n m=n (10) s l exp 1+s n M1 = (1) n! L n+M (1 + s) 1 + s and as a result q l exp 1+q l q x n M1 e x p (x; M, l) dx = n! L . (11) 1 n n+M (1 + q) 1 + q A ﬁnite sum expression for the SEP is now given by q l Q1 q (M1) exp Q 1 1+q l q+1 M1 SEP = (1) b n! L . (12) å å n n n+M q (1 + q) 1 + q n=0 q=1 q q For a more stable numerical calculation we deﬁne c = n! b , where the new coefﬁcients obey the n n recursive relation q1 minfn,M1g minfn,M1g nm q q1 c = n! = c . (13) n å å nm (n m)! m! m m=0 m=0 We also expand the Laguerre polynomials as ([29], Equation (8.970/1)) n i l (n + M 1)! l M1 L = (14) 1 + q (i + M 1)! (n i)! i! 1 + q i=0 to ﬁnd that the PPM PER is calculated as Q1 q (M1) q Q Q Q 1 q l c q+1 P = SEP = (1) exp å å n+M 2 (Q 1) 2 (Q 1) q 1 + q (1 + q) n=0 q=1 (15) (n + M 1)! l (i + M 1)! (n i)! i! 1 + q i=0 The PPM PER is plotted in Figure 2 for modulation orders Q 2, 4, 8, 16 and up to M 2000 noise modes. As it is expected, the system performance improves with the modulation order and worsens when additional optical noise is introduced at the receiver. For the rest of our results, we limit the discussion to M 2 and M 200 noise modes, although similar results can be obtained for any number of modes. The M 2 case corresponds to a system with a narrow optical ﬁlter whose bandwidth matches the PPM slot rate, while the M 200 case corresponds to a system with a broad optical ﬁlter similar to the one discussed in [21]. Appl. Sci. 2020, 10, 1141 5 of 14 Q-2, M-2000 -1 Q-2, M-1000 Q-2, M-400 Q-2, M-200 -2 10 Q-2, M-100 Q-2, M-40 -3 Q-2, M-10 Q-2, M-2 Q-4, M-2 -4 Q-8, M-2 Q-16, M-2 -5 -6 -7 -8 -9 0 5 10 15 20 25 30 E /N (dB) b 0 Figure 2. PPM probabilities of error (PERs) for different modulation orders Q and noise modes M. 4. Average PER in Malaga-M Fading We now consider transmission over an OWC link with turbulence. In this environment, the received energy ﬂuctuates as l h with h denoting the channel state. The average PER is found by integrating Equation (15) over the fading distribution, and we ﬁnd that q (M1) q Q1 n Q Q 1 c (n + M 1)! q+1 P = (1) å å å n+M 2 (Q 1) q (1 + q) (i + M 1)! (n i)! i! q=1 n=0 i=0 (16) l q l h exp h f (h) dh . 1 + q 1 + q The appearing integrals may be evaluated from mathematical tables or the derivatives of the Laplace transform of the fading, distribution at s = l. In Malaga-M fading h is a normalized 1+q random variable (RV) distributed as [27] a+j a+j a b m 2 2 f (h) = A a m h K 2 h , (17) h å j aj g b + W j=1 where K () stands for the modiﬁed Bessel function of the second kind ([29], Equation (8.407)). The model parameters are calculated from the following equations [27] W = W + 2 r b + 2 2 r b W cos (f f ) , 0 0 A B g = 2 (1 r) b , m = g + W , b+ 2 (18) 2a g b A = , 1+ g b + W g G(a) j1 2 j b 1 1 W a a = g b + W , j 1 (j 1)! g b and a, b, W, b , r, f , f are also described in [27]. 0 A B Appl. Sci. 2020, 10, 1141 6 of 14 The integrals in Equation (16) are evaluated using ([29], Equation (6.631/3)) and ([32], Equation (13.1.33)), and we ﬁnd that s ! a+j q l a b m i+ 1 I = h exp h K 2 h dh aj 1 + q g b + W (19) aj aj 2 1 b m b m = G(i + a) G(i + j) Y i + a, 1 j + a; . a+i 2 z z q In the last equation Y (,;) denotes the Tricomi conﬂuent hypergeometric function ([29], Equation a b q (9.210/2)), and we have introduced b = and z = l. The PER now becomes 0 q g b+W 1+q q (M1) q Q1 n Q Q 1 c n + M 1 1 q+1 P = (1) e å å å n+M i 2 (Q 1) q (1 + q) i + M 1 q q=1 n=0 i=0 (20) a G(i + j) A b m G(i + a) j b m Y i + a, 1 j + a; . 2 z i! z q q j=1 Re-arranging the order of summation, we ﬁnd that q (M1) q (M1) Q1 Q Q 1 i + M 1 1 q+1 i P = (1) e å å å i+M 2 (Q 1) q n + M 1 (1 + q) q q=1 n=0 i=n (21) a b a G(n + j) A b m G(n + a) b m Y n + a, 1 j + a; , 2 z n! z q q j=1 which is less challenging to evaluate, especially for increasing numbers of noise modes, since the summation over n does not require all appearing terms and one may avoid extensive evaluations of the Tricomi function. The performance of the pre-ampliﬁed system under Malaga-M fading is presented in Figure 3 for weak, medium and strong turbulence. The distribution parameters are taken from [27] and are summarized in Table 1. For comparison purposes, we also include the PER performance in a transmission without fading. The figure shows that an increase in the PPM modulation order significantly improves the average PER in weak fading, but the relative energy gain that is obtained by doubling the order over Q = 16 amounts to less than 1 dB. Moreover, if the fading becomes more intense (moderate or strong), then the average probability is not reduced by a significant amount and very high modulation orders will be required. This may not be an option due to bandwidth and safety constraints, and one may need to explore alternatives like diversity reception so as to smooth out fading. Table 1. Malaga-M distribution parameters. Irradiance Fluctuations Parameter Weak Moderate Strong a 50 2.55 2.2814 b 14 22 33 W 1.0621 0.4618 1.33 b 0.0216 0.6525 0.4231 r 0.86 0.988 0.84 f f p/2 A B Appl. Sci. 2020, 10, 1141 7 of 14 M-2 M-200 -1 -1 -2 -2 -3 -3 -4 -4 10 10 -5 -5 10 10 -6 -6 10 10 -7 -7 Q-2 Q-2 10 10 Q-4 Q-4 -8 -8 Q-8 Q-8 10 10 Q-16 Q-16 -9 -9 0 5 10 15 20 25 30 0 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 3. PPM average PER in Malaga-M fading. The plots correspond to no fading (solid), weak fading (dash), moderate fading (dash-dot) and strong fading (dash-dot-dot). The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. 5. Diversity Reception in Malaga-M Fading In diversity reception, L pre-amplified receiving branches are utilized and their outputs are added in an EGC to produce the total signal prior to soft-decision decoding. To simplify our analysis, we assume that the amplifiers are identical and that perfect synchronization is achieved among the branches, despite the fact that the spatial separation of apertures introduces delay. In a practical system, the spatial coherence length of the atmospheric channel only measures a few centimetres, and it follows that the apertures only need to be separated by a few centimetres to achieve uncorrelated reception. This results in a relative delay among branches of several picoseconds, which will only impact the system’s performance for comparable PPM slot durations that reach the bandwidth limits of the receiver electronics. It follows from the previous discussion that the received signals are independent and identically 2 l distributed c RVs, while their instantaneous (within a single PPM symbol) values equal h , with h ` ` denoting the channel state for the corresponding receiver. It is also assumed that the transmitted symbol energy is reduced as factor of L so that the total received optical energy at the combiner remains equal to l (on average) and independent of the diversity order L. Given that the sum of 2 2 independent and identically distributed c RVs is also a c RV with N = L M degrees of freedom and l = h , the instantaneous PER is calculated as egc L `=1 q (N1) q Q1 L Q Q 1 q l c q+1 P = (1) exp h e å å ` å n+N 2 (Q 1) q 1 + q L (1 + q) q=1 `=1 n=0 n L (n + N 1)! l h `=1 (i + N 1)! (n i)! i! L 1 + q i=0 (22) q (N1) q Q1 n l Q Q 1 c n + N 1 q+1 L = (1) å å å n+N 2 (Q 1) q (1 + q) i + N 1 1 + q q=1 n=0 i=0 L ` h q l exp h . å Õ ` i ! 1 + q L i +...+i =i `=1 1 L A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error Appl. Sci. 2020, 10, 1141 8 of 14 The average probability now equals q (N1) q Q1 n l Q Q 1 c n + N 1 q+1 L P = (1) e å å å n+N 2 (Q 1) q (1 + q) i + N 1 1 + q q=1 n=0 i=0 (23) 1 q l h exp h f (h ) dh , å Õ ` h ` ` ` ` i ! 1 + q L h =0 i +...+i =i `=1 1 L and using Equation (19) we ﬁnd that q (N1) Q Q1 Q1 c n n+N1 q+1 n 1 P = ( ) (1) ( ) e å å å n+N i q=1 q n=0 i=0 i+N1 2 (Q1) (1+q) q 2 (24) G(i +a) b a G(i +j) L A b m ` j ` b m Y i + a, 1 j + a; , å Õ å j ` `=1 2 z i ! j=1 z q ` b q i +...+i =i 1 L where z = . 1+q L Despite the apparent complexity of the last equation, the appearing terms are calculated recursively using the theory of extended binomial coefﬁcients. We deﬁne the weighting function a b a G(s + j) A b m G(s + a) b m w(s) = Y s + a, 1 j + a; , (25) 2 z s! z q q j=1 and the average PER becomes q (N1) q Q1 n Q Q 1 c n + N 1 1 q+1 P = (1) e å å å n+N i 2 (Q 1) q (1 + q) i + N 1 q q=1 n=0 i=0 w(i ) . . . w(i ) å 1 L i +...+i =i 1 L (26) Q1 q (N1) Q Q 1 c n + N 1 1 L q+1 = (1) å å å n+N i 2 (Q 1) q i + N 1 i (1 + q) q q=1 n=0 i=0 q (N1) q (N1) Q1 Q Q 1 i + N 1 1 L q+1 i = (1) å å å i+N 2 (Q 1) q n + N 1 (1 + q) q n q=1 n=0 i=n where ( ) stands for the extended binomial coefﬁcient and is calculated using the recursion formula ([33], Equation (4)) L L 1 = w(s) , n n s w s=0 w (27) = d . Equation (26) is plotted in Figure 4 for weak fading and an increasing number of diversity branches. The ﬁgure shows that diversity may not always improve the average PER in weak fading, and that the most signiﬁcant improvement is introduced with the second branch. Any further increase in the number of diversity branches may actually have little to no effect, since the fading intensity is already limited and additional noise from the ampliﬁers is added, especially if a large number of noise modes are allowed in the receiver. The modulation order, on the other hand, has a more pronounced Appl. Sci. 2020, 10, 1141 9 of 14 effect, and it can be seen that the 16-PPM system signiﬁcantly outperforms its binary counterpart in all diversity setups. Figure 5 summarizes results on moderate fading. The results show that the modulation order still affects the system performance; however, diversity starts to have a more prominent role for a lower average PER. The introduction of additional branches over two signiﬁcantly beneﬁts the performance, and the combination of a higher modulation and diversity order provides a gain in the link budget of over 15 dB at a PER of 10 . A similar behavior is observed for strong fading in Figure 6, where a somewhat higher link gain is achieved by PPM and diversity at the same PER level. L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 M-200 M-2 -1 -1 10 10 -2 -2 10 10 -3 -3 -4 -4 10 10 -5 -5 10 10 Q-16 Q-2 Q-16 Q-2 -6 -6 -7 -7 -8 -8 10 10 -9 -9 0 5 10 15 20 25 30 0 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 4. Diversity reception of optically pre-ampliﬁed PPM under weak Malaga-M fading. The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 0 0 10 10 M-2 M-200 -1 -1 10 10 -2 -2 10 10 -3 -3 10 10 Q-2 Q-16 Q-2 Q-16 -4 -4 10 10 -5 -5 10 10 -6 -6 10 10 -7 -7 10 10 -8 -8 10 10 -9 -9 10 10 5 10 15 20 25 30 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 5. Diversity reception of optically pre-ampliﬁed PPM under moderate Malaga-M fading. The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error Appl. Sci. 2020, 10, 1141 10 of 14 L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 0 0 10 10 M-2 M-200 -1 -1 10 10 -2 -2 10 10 Q-16 Q-2 Q-16 Q-2 -3 -3 10 10 -4 -4 10 10 -5 -5 10 10 -6 -6 10 10 -7 -7 10 10 -8 -8 10 10 -9 -9 10 10 5 10 15 20 25 30 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 6. Diversity reception of optically pre-ampliﬁed PPM under strong Malaga-M fading. The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. 6. Results on Other Distributions In the current section we investigate the performance of the pre-ampliﬁed PPM receiver under g g and negative exponential fading. In the former case, the fading distribution is given by ([26], Equation (9.137)) a+b 2 p a+b 2 (a b) f (h) = h K 2 a b h , (28) h ab G(a) G(b) where the distribution parameters a and b are calculated from ([26], Equation (5.15, 9.41, 9.46, 9.138)). Table 2 summarizes the a and b values that have been obtained for 100 m and 500 m links that operate 2 13 2/3 at 1550 nm and for a structure constant equal to C = 4.58 10 m . Table 2. g g distribution parameters. Parameter l–100 m l–500 m a 16.53 4.04 b 14.91 1.53 Using the analysis of the previous sections, we ﬁnd that the average PER is given by Equation (26) with the modiﬁcation of the weighting function to a+b z 2 p a+b 2 (a b) s+ 1 w(s) = h exp z h K 2 a b h dh ab s! G(a) G(b) (29) G(s + a) G(s + b) a b a b = Y s + a, 1 + a b; . G(a) G(b) s! z z q q Figures 7 and 8 summarize the average PER results for the 100 m and 500 m g g link, respectively. The results show that modulation order plays the most important role on the performance of the A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error Appl. Sci. 2020, 10, 1141 11 of 14 shorter link (weaker fading), while diversity provides a more drastic performance improvement for the longer link (stronger fading), similar to the key observations of the Malaga-M fading analysis. Finally, in negative exponential statistics, the fading distribution is given by ([26], Equation (9.129)) f (h) = exp h (30) ( ) and the weight function becomes s Z s z z q q w(s) = h exp z h exp (h) dh = . (31) s+1 s! (1 + z ) L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 0 0 10 10 M-2 M-200 -1 -1 10 10 -2 -2 10 10 -3 -3 10 10 -4 -4 10 10 -5 -5 10 10 Q-16 Q-2 Q-16 Q-2 -6 -6 10 10 -7 -7 10 10 -8 -8 10 10 -9 -9 10 10 0 5 10 15 20 25 30 0 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 7. Diversity reception of optically pre-ampliﬁed PPM under g g fading (100 m link). The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 0 0 10 10 M-2 M-200 -1 -1 10 10 Q-16 Q-2 -2 -2 10 10 -3 -3 10 10 Q-2 Q-16 -4 -4 10 10 -5 -5 10 10 -6 -6 10 10 -7 -7 10 10 -8 -8 10 10 -9 -9 10 10 5 10 15 20 25 30 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 8. Diversity reception of optically pre-ampliﬁed PPM under g g fading (500 m link). The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error Appl. Sci. 2020, 10, 1141 12 of 14 The corresponding average PER results are shown in Figure 9 and verify the importance of diversity in a saturated fading environment. L-1 L-2 L-1 L-2 L-5 L-10 L-5 L-10 0 0 10 10 M-2 M-200 -1 -1 Q-16 Q-2 -2 -2 10 10 Q-16 Q-2 -3 -3 10 10 -4 -4 10 10 -5 -5 10 10 -6 -6 10 10 -7 -7 10 10 -8 -8 10 10 -9 -9 10 10 5 10 15 20 25 30 5 10 15 20 25 30 E /N (dB) E /N (dB) b 0 b 0 (a) (b) Figure 9. Diversity reception of optically pre-ampliﬁed PPM under negative exponential fading. The noise modes are equal to M = 2 and M = 200 in (a) and (b), respectively. 7. Conclusions We have presented new analytical results on the PER performances of optically pre-ampliﬁed PPM receivers in OWCs. The results enable the evaluation of the OWC system performance under fading, and we have focused on the general Malaga-M fading distribution. We have considered the impacts of increased modulation orders and diversity reception, and it was shown that high order PPM is better suited for transmission over weak fading, while diversity reception becomes more effective as fading becomes more intense. The presented analysis is extended in a straightforward fashion to evaluate the performance under different fading distributions, which is of interest for the design of OWC links in a variety of atmospheric conditions. Author Contributions: All authors contributed equally to the work presented in this manuscript. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Conﬂicts of Interest: The authors declare no conﬂict of interest. Abbreviations The following abbreviations are used in this manuscript: EDFA Erbium doped ﬁber ampliﬁer EGC Equal-gain combiner OWC Optical wireless communication PER Probability of error PPM Pulse-position modulation RV Random variable SEP Symbol error probability SOA Semiconductor optical ampliﬁer A v e ra ge Proba bility of Error A v e ra ge Proba bility of Error Appl. Sci. 2020, 10, 1141 13 of 14 References 1. Li, J.; Uysal, M. 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Applied Sciences – Multidisciplinary Digital Publishing Institute

**Published: ** Feb 7, 2020

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