Optimization of Access Points and Power Allocation for Indoor Multi-Input and Multi-Output Visible Light Communication Systems

Yong Chen; Jinlan Wu; Huanlin Liu; Chuangshi Wang; Weiwei Zhang; Hao Chen

doi:10.3788/AOS231477

Acta Optica Sinica, Volume. 44, Issue 3, 0306001(2024)

Optimization of Access Points and Power Allocation for Indoor Multi-Input and Multi-Output Visible Light Communication Systems

Yong Chen^1、*, Jinlan Wu^1、**, Huanlin Liu², Chuangshi Wang¹, Weiwei Zhang¹, and Hao Chen¹

Author Affiliations

¹Key Laboratory of Industrial Internet of Things & Network Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

²School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

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Figures & Tables(13)

Fig. 1. Indoor VLC system model

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Fig. 2. Random distribution of indoor users

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Fig. 3. Average user satisfaction index of allocated power based on coefficient $α$

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Fig. 4. Convergence of power allocation algorithms for users within an AP using IDDSCA and DDSCA ( $m = 4$ ). (a) Improvement of the parameter $r_{1}$ ; (b) improvement of adaptive search strategy based on optimal solution direction

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Fig. 5. LED positions with randomly generated user positions ( $M = 20$ , $N = 4$ )

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Fig. 6. System sum rates of different allocation schemes varies with the number of users

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Fig. 7. Relationship between system sum rate and FOV ( $M = 16$ )

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Fig. 8. Effect of maximum transmission power of AP on system sum rate ( $M = 16$ )

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Fig. 9. Average user satisfaction index of different allocation schemes varies with the number of users

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Fig. 10. Relationship between average user satisfaction index and FOV ( $M = 16$ )

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Table 1. Pseudocode for optimizing user access to APs

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Table 1. Pseudocode for optimizing user access to APs

optimizing user access to APs

1. Input： $M$ ， $N$ ， $P_{m a x}$ ， $R_{n s u m} = 0$ ， $R_{o s u m} = 0$ .

2. Initialize：

Initializa user's candidate list $L$ for AP according to Eq.（6）.

Initialize the AP assignment scheme to set $A$ .

3. Calculate the power coefficients $α$ .

4. Calculate $R_{o s u m}$ according to Eq.（7）.

5. Sort the APs in descending order based on the number of users connected，set $A_{l} = \{A_{1}, \dots, A_{N}\}$ .

6. for $j = 1, \dots, N$ do

7. Sort the users within $A_{j}$ in ascending order according to the channel gain weight value，set $A_{j} = \{u_{1}, \dots, u_{m}\}$ .

8. for $k = 1, \dots, m$ do

9. for $i = 1, \dots, N$ do

10. Add the k-th user to the set of $A_{N + 1 - i}$ .

11. Calculate $R_{n s u m}$ according to Eq.（7）.

12. if $R_{n s u m} > R_{o s u m}$ do

13. Update $A$ ， $A_{l}$ ，set $R_{o s u m} = R_{n s u m}$ .

14. end if

15. end for

16. end for

17. end for

18. Calculate the achievable rate for all users.

19. Output：

A

Table 2. Pseudocode for IDDSCA

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Table 2. Pseudocode for IDDSCA

IDDSCA
1. Input： $A$ ， $f i t n e s s = 0$ ， $D e s t_s c o r e = + \infty$ . 2. Initialize：Initialize the particle position $X_{j} (j = 1,2, \dots, m)$ ，select the current best position $P_{j}^{(t)}$ .
3. for $r = 1, \dots, N$ do 4. while $t < M a x_i t e r$ do 5. for $i = 1, \dots, n$ do 6. for $j = 1, \dots, d i m$ do 7. Update $r_{4}, r_{2}, r_{3}$ ，update $r_{1}$ according to Eq.（12）. 8. Update the position of current particle new $X_{i, j + 1}^{(t + 1)}$ according to Eq.（11）. 9. if $f i t n e s s < D e s t_s c o r e$ do 10. $D e s t_s c o r e = f i t n e s s$ . 11. Update the current best position $P_{i, j}^{(t + 1)}$ . 12. end if 13. end for 14. end for 15. end while 16. end for
17. Calculate the sum system rate $R_{n s u m}$ .
18. Output： $R_{n s u m}$ .

Table 3. Simulation parameter

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Table 3. Simulation parameter

Physical meaning	Parameter	Value
Number of LED	$N$	4
FOV of PD /（ $°$ ）	$ψ_{F O V}$	60
Area of PD /cm²	$A_{p}$	1
Responsivity of PD /（A/W）	$γ_{o e}$	0.53
LED semi-angle at half-power /（ $°$ ）	$ϕ_{1 / 2}$	60
Noise power spectral density /（A²/Hz）	$N_{0}$	10^-21
AP signal bandwidth /MHz	$B$	40
Average required data rate /（Mbit/s）	$R_{t h}$	4
Average emitted optical power per LED /W	$P_{m a x}$	10
Gain of optical filter	$g_{o f}$	1
Refractive index	$n$	1
Residual interference fraction	$ε$	0.1

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Yong Chen, Jinlan Wu, Huanlin Liu, Chuangshi Wang, Weiwei Zhang, Hao Chen. Optimization of Access Points and Power Allocation for Indoor Multi-Input and Multi-Output Visible Light Communication Systems[J]. Acta Optica Sinica, 2024, 44(3): 0306001

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Paper Information

Category: Fiber Optics and Optical Communications

Received: Aug. 25, 2023

Accepted: Oct. 27, 2023

Published Online: Feb. 27, 2024

The Author Email: Yong Chen (chenyong@cqupt.edu.cn), Jinlan Wu (1772559580@qq.com)

DOI:10.3788/AOS231477

CSTR:32393.14.AOS231477

Topics

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