Acta Optica Sinica, Volume. 39, Issue 9, 0906007(2019)
Low-Complexity Spectrum Resource Allocation Algorithm for Indoor Ultra-Dense Visible Light Communication Networks
Figures & Tables(9)
Fig. 1. Model of UD-VLC networks. (a) Coverage of single AP; (b) schematic of overlapping area of local networks
Fig. 3. Algorithm comparison in the effect of terminal density on average system throughput
Fig. 4. Algorithm comparison in effect of AP density on average system throughput
Fig. 6. Algorithm comparison in effect of terminal density on average ratio of satisfied terminals
Fig. 7. Algorithm comparison in effect of access point density on average ratio of satisfied terminals
Fig. 8. Algorithm comparison in effect of average required data rate of terminals on average ratio of satisfied terminals
Table 1. Simulation parameters
View tableTable 1. Simulation parameters
Parameter Value Room size /(m×m×m) 15×15×3 Transmit optical power of AP /W 9 Height between AP andterminal L /m2.15 Half-intensity radiation angle /(°) 60 FOV ofterminal /(°) 60 Refractive index n 1.5 Detector responsivity r /(A·W-1)0.53 Physical area of terminal A /m21.0×10-4 Power spectral density of noise /(A2·Hz-1) 1.0×10-21 Bandwidth of each AP B /MHz40 Gain of optical filter T S(φ )1 Average required data rate /(Mbit·s-1) 40 Average blocking probability 0.1 Density of APs /(counts·m-2) 0.11 Density of terminals /(counts·m-2) 0.44
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Xiangwei Bai, Qing Li, Yanqun Tang. Low-Complexity Spectrum Resource Allocation Algorithm for Indoor Ultra-Dense Visible Light Communication Networks[J]. Acta Optica Sinica, 2019, 39(9): 0906007
Paper Information
Category: Fiber Optics and Optical Communications
Received: Feb. 25, 2019
Accepted: May. 21, 2019
Published Online: Sep. 9, 2019
The Author Email: Li Qing (liqing0206@163.com)
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