CC BY
10
Outage Analysis of Device-to-Device Communication System
Hussain Z., Khan A. U. R., Mehdi H., Saleern S. M. A.
National University of Computer and Emerging Sciences, Pakistan E-mail: zakir.hussain&nu. edu.pk
111 this paper, we analyze the outage performance of Device-to-Device (D2D) communication system in the presence of co-channel interference (CCI). Gamma distribution is considered here to model the random channel gain powers of D2D communication system and co-channel interferers. A characteristic function (CF) expression of the D2D communication system in the presence of CCI is presented as a function of various parameters of the system. Based on this CF expression an outage probability expression is presented as a function of arbitrary parameters of channel fading, CCI and pat.li-loss. Effects of the CCI on the outage performance are then discussed with the help of numerical results under various channel and interference conditions.
Key words: co-channel Interference: D2D communication: gamma distribution: outage probability DOI: 10.20535/RADAP. 2018.74.36-43
1 Introduction
The inevitably increasing demand of communicating smart devices increases demand of high data rate and hence causing shortage of wireless bandwidth fl 3]. Device-to-device (D2D) communication system is one of the emerging technologies to fulfill the demand of high data rate and to enhance the performance of cellular communication system. D2D communication system is a fifth generation (5G) cellular communication system standard that allows direct communication between user devices without routing of data through cellular infrastructure which results in an improved data rate [4 7]. However, duo to the presence of large number of wireless communication devices, coexistence issues arise. In the absence of suitable coordination between various wireless communication devices in the network co-channel interference (CCI) may take place [8 11]. Therefore, effects of CCI should be considered in the performance analysis of D2D communication systems. In this work, our aim is to analyze the effects of CCI on the performance of D2D communication systems. Outage probability IS 3. useful tool to analyze the quality of the received signal at the receiving node in the presence of CCI and various channel conditions. Outage probability of multi-hop D2D communication system is studied by authors in [12] over Rayleigh fading channel. In [13]. authors studied the outage probability of D2D communication system over Suzuki fading channel. Authors in [14] has studied the outage performance of D2D communication system in presence of interference and noise in Rayleigh fading. Authors in [15]. studied outage
probability of D2D communication system over Rayleigh fading channel. In [16]. authors have considered the Gamma faded channel for the desired D2D signal and Nakagami faded channel for the CCI signals. Moreover, authors have considered identically distributed co-channel interforers. No diversity is considered in the paper.
In this paper, outage performance of D2D communication system in the presence of CCI is discussed. Outage probability expression as a function of various channel and interference parameters is presented. Also, the random channel gain powers are assumed to be gamma distributed for both desired and interference signals. The generality of the Gamma distribution and its ability to model severe fading conditions makes it an attractive choice for the analysis of different fading conditions [17]. Furthermore, to combat the fading conditions maximal ratio-combining (MRC) and selection combining (SC) schemes are incorporated in our system. The rest of the paper is organized as follows. In Section 2, system model and outage probability expressions are presented. Numerical results are discussed in Section 3. Finally, this paper is concluded in Section 4.
2 System model
As shown in fig. 1, a pair of D2D devices is communicating. There are also N co-channel interferers with variable power levels. These interferers are located at various distances from the D2D receiver. Our system is assumed to be interference limited [18]. Random channel gain powers of the communication
link arid interference are assumed to be independent and gamma distributed. To combat the fading conditions maxinmm-ratio-combining (MRC) and Selection Combining (SC) schemes with M diversity branches are considered. The PDF of the gamma distribution is [19]
f (z) =
e d zc 1
z > 0, d > 0, c > 0, (1)
dc r(c)
where c is the shape parameter and d is the scale parameter of gamma distribution. The shape parameter c measures the severity of fading and scale parameter d is related to the average power of distribution. Path-loss also affects the performance of communication systems. Therefore, a simplified path-loss model [20] is considered in this work.
D2D receiver node
D2D sender node
N co-channel interferers (In)
Desired signal
Distance between D2D pair
Co-channel interference signals Distance between the n-th co-channel interférer and the D2D receiver
Vn
Fig. 1. System model of D2D communication system
The signal-to-interference power ratio (SIR) at the output of M branches MRC combiner is
S,MRC
/ \ 2 M
M ( f TZ h
k=1
Si
S,
S,MRC
1 ( A \2 ( y \Vn
E1 pi,nyii^J [ijfj
( «-2X M
PA X« ) S
V 7 fc=1
Si
N ,y0ríVn-2 X
Pl,ni y vn ) ßn
n=1 \ n J
In ( ), the power of the D2D signal is Ps, x is the distance between D2D pair, A is the wavelength, u is path-loss exponent (2 < u < 5) for the D2D signal, xo is the reference distance and hk is an independent gamma variable in the fc-th diversity branch. Similarly, the power of the n-th co-channel interferer is Pi,n which is located at a distance yn from the D2D receiver, y0<n is the reference distance, vn is the path-loss exponent of the n-th co-channel interferer (2 ^ u ^ 5) and is an independent gamma variable of the nth co-channel interferer. To study the quality of the received D2D signal over a hostile channel, duo to its effectiveness outage probability is considered hero [21]. Outage probability is defined as the probability that the SIR of a received signal is below a predefined threshold R. The outage probability for our MRC based system is
Pout — p(RSI > Ss,MRC).
(3)
Based on the expression (3), we define a decision variable 9 as
9 — RS i — Ss,
S,MRC.
(4)
For a satisfactory reception quality, the value of 9 must be negative. Otherwise outage will take place. Mathematically,
e
> 0 Outage
< 0 Satisfactory Reception
(5)
To obtain an expression for the outage probability a characteristic function (CF) based approach is considered here. The CF of the decision variable 9 is
N
M
;) — 11(1 — jA^r^W (1 +
— Sk
(6)
n=1
fc=1
where Sk is the shape parameter and ak is the scale parameter of the desired received signal in the fc-th diversity branch. In ( ), -qn and en are the shape
n
respectively. Moreover, in (C)
RP,
yo,
vn — 2
I,n'
Vn
Bh
pf
Xo
2
(7)
(8)
(2)
The characteristic function expression in (6) is a function of various parameters of the desired D2D and CCI signals, and fading channels. Hence, based on this characteristic function expression the outage performance is analyzed. Based on (5) and (C), the outage probability of our systems can be determined by using the following formula,
f
1 + 1 f Im(^M) ,
Pout = X + - - dU,
2 -K J w
o
where Irn (.) is imaginary part of the CF expression in (6).
x
s
n:
u
X
k
The outage probability expression of our MRC based D2D communication system is
/
1 1 f
Pout, MRC --
2 ^ J 0
N M
J2 'Hntan-1 (Anu) - J2 Sktan-1 (Bkw)
n=1
k=i
N
_ 3a M 2 M
u x n 1 + (^)2 n 1 + (Bku)2
n=l k=l
dw.
(9)
/
Now for the selection combining (SC) based di- Based on ( ), we define decision a variable ^ as versity scheme, the SIR of the fc-th diversity branch is
^ = RSi - Ss-sc,max . (12)
2
Ss-
SC,k
M (^h
Si
Ss-sc,k
N
£ Pin
n=l
Ps
X
u-2 ^
(t^ A
For a satisfactory reception, the value of ^ must be negative. Otherwise outage will result. Mathematically,
(X°x" )
(10)
Si
N
£ Pi,
n=l
y°,,
l)iSn
> 0 Outage
< 0 Satisfactory Reception
(13)
where SS-SC}MAX = max (SS-SC}k) is the branch
The outage probability of our SC diversity based ^^ by the sc sdlbased on (11) to (13)
D2D communication system is ,, , ' , , . f cr,
the outage probability expression ol our SC diversity
Pout = P(RSi > Ss-SC,MAX ).
(11) based D2D communication system is
oo
6
k
2
k
2
h
k
P,
out,SC
M
n
k=l
1 1 r
2 + Wo
N
J] 'qntan-1 (An^) - Sktan-1 (Bkw)
n=l
N
Vn \2 2
^ 1 + (An^)2 1 + (Bku)2
n=1
dw
(14)
¿>
fc
2
3 Numerical analysis
Numerical results are presented based on the outage expression presented in Section 2. Our expression is valid for arbitrary values of channel conditions. In the following numerical results, the reference distances x0 and y0,n are assumed to be 1 meters. In fig. 2, outage performance of D2D communication system with selection combining (SC) and maximum ratio combining (MRC) diversity techniques are shown. Shape parameters of D2D signal Sk for M = 3 branches are considered to be {2, 4, 1}, path-loss exponent of the D2D signal, u is considered to be 3.5 and the power PS is fixed at 20 dBm. There are N = 5 co-channel interferers in the system. Powers of the interferers Pin, distances between the n-th interferer yn and the D2D receiver, path-loss exponents of co-channel interferers and the shape parameters of interferers are assumed to be {13, 10.79, 11.76, 13, 10.41} dBm, {30, 35, 50, 70, 75} meters, {4.7, 2.5, 3, 4.7, 2.5} and {1, 5, 2, 3, 5}, respectively. Outage threshold R is set to be 16 dBm. From the figure it is observed that the outage performance of the D2D communication system is better with MRC diversity than the SC diversity. Moreover degradation in performance is observed with increase in distance x due to path-loss effects. In fig. , outage performance of MRC based D2D communication with varying number of diversity branches is shown.
Here, M = 2, 3 and 5 diversity branches are considered. Values of Sk of D2D signal for M = 2, 3 and 5 branches are considered to be {3, 1}, {3, 1, 0.5} and {3, 1, 0.5, 0.7, 0.5}, respectively. Values of u for the D2D signal is considered to be 3.5 and the PS is fixed at 20 dBm. Number of co-channel interferers N is considered to be 7. Values of Pi,n, yn, vn and -qn are assumed to be {13, 10, 10.8, 11.76, 13, 10.8, 10} dBm, {30, 35, 40, 55, 70, 75, 80} meters, {4.7, 3.5, 2.5, 3, 4.7, 3.5, 2.5} and {1, 2, 5, 3, 1, 2, 5}, respectively. R is set to be 17 dBm. It can be seen from the figure that when diversity branches are increased outage performance of the system is improved. It is also observed that as the D2D devices moves away from each other, outage performance degrades. It is due to the decrease in the received power of the desired signal at the D2D receiver due to path-loss effects. Outage performance of MRC diversity D2D communication system with varying shape parameters of D2D signal is shown in fig. . PS, M mid u are assumed to be 20 dBm, 3 and 3.5, respectively. For N = 5 co-channel interferers, Pi,n , Vn-, yn are assumed to be {13, 10.79, 11.76, 13,
10.41} dBm, {1, 5, 3, 1, 5}, {4.7, 2.5, 3, 4.7, 2.5}, and {30, 35, 50, 70, 75} meters, respectively. Threshold is set at 17 dBm. It is clear from the figure that under less severe fading conditions for the desired signal, outage performance of the system is improved.
Fig. 2. Outage performance of D2D communication ;i Outage performance MRC diversity with varyi-
system with SC and MRC diversity ng number of diversity branches M
Fig. 4. Outage performance with varying shape Fig. 5. Outage performance with varying values of parameters of the desired signal threshold R (dBm)
Performance of MRC diversity D2D communication the received signal strength at the D2D receiver. We
system with various path-loss exponents of D2D signals also observe degradation in the outage performance at
and the threshold values is shown in fig. . Ps, x, M every path-loss exponent value as the threshold value
and Sk are assumed to be 20 dBm, 70 meters, 3 and {1, is increased. 0.7, 2}, respectively. For N = 5 interferers, Pi n, vn,
and yn are assumed to be {7, 8.45, 10, 9.54,' 7.78} Outage performance of MRC based D2D communi-
dBrii. {3. 3.1. 3. 2.5. 3.2}. {5. 3. 4. 3. 5} and {40. 45. cation systcm with various values of path-loss
555. 70. 75} meters, respectively. From the figure, it is exponents of the co-channel interferers is shown in
observed that by increasing the path-loss exponent for ■ ps, u, M and Sk are assumed to be 20 dBm,
the desired signal, the outage performance degrades ^.4, 3 and {1, 2, 1}, respectively. For N = 5 co-channel
due to increase in path-loss and hence, reduction in interferers, Pi,„, and yn are assumed to be {13,
10, 11.76, 13, 10} dBm, {1, 2, 3, 1, 2} and {25, 30,
50. 70. 75} motors, respectively. Outage threshold is fixed at 17 dBm. From the figure, it is observed that the outage performance is improved as the path-loss exponents of the interferers are increased. This is due to the weakening of the interference signals at the receiver node.
In fig. 7. numerical analysis of a scenario of D2D communication system with MRC diversity technique is shown. In this scenario. 20 equal power and equal path-loss exponent co-channel interferers are considered. 10 of the interferers are placed ctt 3. distance 30 meters and the rest are placed at 70 meters from the receiver node. The powers and path-loss exponent
Fig. C. Outage performance with varying path-loss exponents of co-channel interferer signals
Fig. 8. Analysis with various fading conditions for the interference and desired signals
of the interferers are assumed to be 8.75 dBm and 3.7. respectively. For our desired signal, the values of Ps, u, M and 5k are assumed to be 20 dBm, 4.3, 3 and 5, respectively. Threshold is fixed at 18.13 dBm. Firstly, the fading condition for the interferers near the receiver is considered to be better than the ones away from the receiver. Then, the fading conditions are considered to be reversed for the interferers. From the figure, it is clear that when the interferers near the receiver are under severe fading conditions than the ones away from the receiver node, outage performance of our system suffers despite the fact that all the interferers have same path-loss exponents and transmit powers.
Fig. 7. Outage analysis with varying fading conditions for the co-channel interference
Fig. 9. Analysis with various fading conditions for the interference and threshold
-$-N=5 (SC) -*-N=5(MRC) -e-N=10(SC) -*-N=10(MRC)
=15 (MRC)
12 13 14
R(dBm)
r. 1A „ , . ,, , , r Fig. 11. Outage performance with varying number of
fig. lu. Outage with various path-loss exponents lor ° . . '
,, ■ , c liiterlerers
the mteiierence
Similar to our previous scenario shown in fig. 7, 20 equal power and equal path-loss exponent co-channel interferers are again considered in fig. 8. However, this time the fading conditions of the desired signal are also varying. 10 of the interferers <W6 clt cl distance of 30 meters and the rest are at 70 meters from the D2D receiver. The powers and path-loss exponent of the interferers are assumed to be 8.75 dBm and 3.6, respectively. Threshold value is set at 10 dBm. The values of Ps, x, M and u are assumed to be 20 dBm, 50 meters. 5 and 4.5. respectively. Similar process of swapping the fading conditions of the near and far placed interferers is adopted once again. From the figure, once again it is observed that the outage performance suffers when the interferers near the receiver are under severe fading conditions as compared to the case when the nearer interferers are under better fading conditions. However, the gap between the two cases increases with the improvement in the fading conditions of the desired signal.
Outage performance of MRC diversity based D2D communication system with varying shape parameter values of co-channel interferers is shown in fig. 9. Values of Ps, §k, M, x and u are assumed to be 20 dBm, {2. 3. 5}. 3. 50 meters and 3.5. respectively. For N = 5 interferers, Pi,n, and yn are assumed to be {13, 10, 11.76, 13, 10} dBm, {4.7, 2.5, 3, 4.7, 2.5} and {30, 35, 50, 70, 75} meters, respectively. It is clear from the figure that outage performance suffers under worse fading conditions for the interferers. Also, when the threshold value is increased performance degrades. Effects of varying path-loss exponents of co-channel interferers on the outage performance of MRC based D2D communication system are shown in fig. 10.
Values of Ps, u, x, M mid Sk are assumed to be 20 dBm, 3.5, 50 meters, 3 and {1, 2, 1}, respectively. For N = 5 co-channel interferers, P/,n) 'In, and yn are assumed to be {13, 10, 11.76, 13,' 10} dBm, {1, 2, 3, 1, 2} and {25, 30, 50, 70, 75} meters, respectively. From the figure, it is observed that outage performance improves as the path-loss conditions for the interference signals get worse. It is due to the weakening of the received interference signals.
Outage performance of SC and MRC based D2D systems with various numbers of CCIs are shown in fig. . Values of Ps, u, x, M and 5k are assumed to be 23.01 dBm, 3.5, 30 meters, 3 and {1.5, 1, 0.7}, respectively. The interferers are assumed to be independent and identically distributed. The values for interferers parameters P/,„, and yn are assumed to be 11.76 dBm and 50 meters, respectively. Threshold R is set to be 14.77 dBm. From the figure, it is observed that outage performance of the system worsens as the number of interferers are increased. Moreover, for the same number of interferers system with MRC shows better performance than the system with SC. It is also observed that increase in the path-loss exponent of CCI improves outage performance. It is due to the weakening of the CCI signals with the increase of the path-loss exponent values.
Conclusion
The D2D system is studied in the presence of multiple co-channel interferers. The effects of path-loss are also considered. Gamma distribution is considered to model the random channel gain powers
of the desired arid interference signals. To analyse the system, an expression for the outage probability is presented clS ct function of diversity branches, path-loss parameters, channel fading and interference parameters. It is observed that diversity schemes improves the outage performance of the D2D communication system. Furthermore, it is observed that the performance of the MRC diversity based D2D communication system is better than that of SC diversity based system. It is observed that the presence of fading and path-loss degrades system performance. Also, co-channel interference in spite of being affected by the fading and path-loss conditions degrades outage performance of the system. It is observed that when the path-loss exponent of the CCI is decreased, the outage performance of the D2D system is degraded. For the distance between the D2D devices, x = 30 meters , and the path-loss exponent values of the N = 5 interferers are v = {3.5, 3.7,4,4.1,4.2}, the outage probability is Pout = 1.414 x 10-7. When the path-loss exponent values of CCI are decreased to v = {3.2,3.3, 3.4,3.5, 3.6}, the outage perfromance degrades, i.e., Pout = 6.614 x 10-6. When the path-loss exponent values of CCI are further decreased to » = {2.6,2.7,2.8,2.9, 2.9}, the ouage perfromance further degrades to Pout = 0.0057.
References
[1] Li S., Ni Q., Sun Y. and Min G. (2017) Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Device-to-Device Communications: Approaches for Perfect and Statistical CSls. IEEE Access, Vol. 5, , pp. 27229-27241. DOl: 10.1109/access.2017.2751084
[2] Tang A., Wang X. and Zhang C. (2017) Cooperative Full Duplex Device to Device Communication Underlaying Cellular Networks. IEEE Transactions on Wireless Communications, Vol. 16, Iss. 12, pp. 7800-7815. DOl: 10.1109/twc.2017.2753785
[31 Chun Y..I., Colombo C.B., Cotton S.L., Scanlon W.G., Whitaker R.M. and Allen S.M. (2017) Device-to-Device Communications: A Performance Analysis in the Context of Social Comparison-Based Relaying. IEEE Transactions on Wireless Communications, Vol. 16, Iss. 12, pp. 7733-7745. DOl: 10.1109/twc.2017.2751470
[4] Ozbek B., Pischella M. and Ruyet D.L. (2017) Dynamic Shared Spectrum Allocation for Underlaying Device-to-Device Communications. IEEE Wireless Communications, Vol. 24, Iss. 5, pp. 88-93. DOl: 10.1109/mwc.2017.1700064
[5] Yang K., Martin S., Xing C„ Wu .1. and Fan R. (2016) Energy-Efficient Power Control for Device-to-Device Communications. IEEE .Journal on Selected Areas in Communications, Vol. 34, Iss. 12, pp. 3208-3220. DOl: 10.1109/jsac.2016.2624078
[6] .lameel F., Hamid Z., .labeen F., Zeadally S. and .laved M.A. (2018) A Survey of Device-to-Device Communications: Research Issues and Challenges. IEEE Communications Surveys & Tutorials, Vol. 20, Iss. 3, pp. 2133-2168. DOl: 10.1109/comst.2018.2828120
[7] Agarwal D. and Yadav S. (2017) Outage performance of energy harvesting relay-assisted device-to-device communication. 2017 International Conference on Wireless Communications, Signal Processing and Networking (Wi-SPNET). DOl: 10.1109/wispnet.2017.8299763
[8] Ningombam D.D. and Shin S. (2018) Outage probability analysis of device-to-device communications with frequency reuse-2 in fractional frequency reuse method. 2018 International Conference on Information Networking (¡COIN). DOl: 10.1109/icoin.2018.8343137
[9] Xu S„ Zhang H„ Tian .1., Guo S. and Zhou X. (2016) Distributed energy-efficient resource allocation and power control for device-to-device communications underlaying cellular networks, 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC), Shenzhen, 2016, pp. 441-446.
[101 Vang K„ Martin S„ Xing C„ Wu .1. and Fan R. (2016) Energy-Efficient Power Control for Device-to-Device Communications. IEEE .Journal on Selected Areas in Communications, Vol. 34, Iss. 12, pp. 3208-3220. DOl: 10.1109/jsac.2016.2624078
[111 Wans X., Li X..I., S h we H.Y., Yang M. and Chong P.H..I. (2015) Interference-aware resource allocation for device-to-device communications in cellular networks. 2015 10th International Conference on Information, Communications and Signal Processing (1C1CS). DOl: 10.1109/ici-cs.2015.7459818
[12] Wang S„ Guo W„ Zhou Z., Wu Y. and Chu X. (2015) Outage Probability for Multi-Hop D2D Communications With Shortest Path Routing. IEEE Communications Letters, Vol. 19, Iss. 11, pp. 1997-2000. DOl: 10.1109/lcomm.2015.2475428
[131 Ghavami H. and Moghaddam S.S. (2017) Outage Probability of Device to Device Communications Underlaying Cellular Network in Suzuki Fading Channel. IEEE Communications Letters, Vol. 21, Iss. 5, pp. 1203-1206. DOl: 10.1109/lcomm.2017.2655042
[141 Ghavami H. and Moghaddam S.S. (2016) Outage probability for underlaying Device to Device communications. 2016 8th International Symposium on Telecommunications (1ST). DOl: 10.1109/istel.2016.7881839
[151 Liu •'•• Nishiyama H., Kato N. and Guo .1. (2016) On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based Perspective. IEEE Journal on Selected Areas in Communications, Vol. 34, Iss. 1, pp. 163-175. DOl: 10.1109/jsac.2015.2452492
[161 Hussain Z., Khan A. U. R., Mohdi H. and Saloom S. M. A. (2018) Analysis of D2D Communications over Gamma/Nakagami Fading Channels, Engineering, Technology & Applied Science Research, Vol. 8, No. 2, pp. 2693-2698.
[171 Shankar P.M. (2010) Statistical Models for Fading and Shadowed Fading Channels in Wireless Systems: A Pedagogical Perspective. Wireless Personal Communications, Vol. 60, Iss. 2, pp. 191-213. DOl: 10.1007/sll277-010-9938-2
[181 Bandopadhaya S., Samal S.R., Dora S.K. and Poulkov V. (2017) Base station transmission power optimization in interference-limited cellular networks for maximum energy efficiency. 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELS1KS). DOl: 10.1109/telsks.2017.8246269
[19] Johnson N. L., Kotz S. and Balakrishnam N. (1994) Continuous Univariate Distributions, Volume 1, 2nd Edition. Wiley Series in Probability and Statistics. DOl: 10.1002/0471715816
[20] Goldsmith A. (2005) Wireless Communications. DOl: 10.1017/cbo9780511841224
[21] Shaban H.. and Aly M.H. (2010) Probability of error performance of free space optical systems in severe atomspheric turbulence channels. 2010 10th Mediterranean Microwave Symposium. DOl: 10.1109/mmw.2010.5605154
Анал1з збо*1в систем зв'язку р!зновиду пристрш-пристрш
Хусейн 3., Хан А. P., MexOi X., Салем С.М. А.
У цш статт! апал1зуеться иродуктившсть систем зв'язку "пристрш-пристрш" (D2D) при паявпост! м!ж-капалышх перешкод (CCI). Для моделюваппя коефь ц!епт1в посилеппя випадкового каналу спстемп зв'язку D2D i м1жкапа.лышх перешкод використовуеться гамма-розподгл. Вираз характеристично! фупкцп системи зв'язку D2D в присутпост! м1жкапа.лы1их перешкод представлено як фупкцпо р1зпих параметр!в системи. На основ! виразу характеристично! фупкцп ймов!ршсть збош представлено як фупкцпо дрвиышх параметр!в за-гасаппя каналу. м1жкапалышх перешкод i загасаппя па шляху. Вплив м1жкапалышх перешкод па ймов!ршсть
збо1'в проапал1зовапа за допомогою чпсловнх результате при р!зпих капалышх i штерферепцшпих умовах.
Ключовг слова: завади в сумпцепому капал!: зв'язок D2D: гамма-розподш: ймов!ршсть в!дмови
Анализ сбоев систем связи вида устройство-устройство
Хусейн 3., Хан А. P., МехОи X., Салем С.М. А.
В этой статье анализируется производительность систем связи "устройство-устройство" (D2D) при наличии межкапальпых помех (CCI). Для моделирования коэффициентов усиления случайного капала системы связи D2D и межкапальпых помех используется гамма-распределепие. Выражение характеристической функции системы связи D2D в присутствии межкапальпых помех представлено как функцию различных параметров системы. На основе выражения характеристической функции вероятность сбоев представлено как функцию произвольных параметров затухания капала, межкапальпых помех и затухания па пути. Влияние межкапальпых помех па вероятность сбоев проанализирована с помощью числовых результатов при различных канальных и интерференционных условиях.
Ключевые слова: межкапалыгое вмешательство: 02В-связь: гамма-распределепие: вероятность отказа
