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Optimal Power Allocation for Integrated Visible Light Positioning and Communication System With a Single LED-Lamp
- Source :
- Ma, S, Yang, R, Li, B, Chen, Y, Li, H, Wu, Y, Safari, M, Li, S & Al-Dhahir, N 2022, ' Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp ', IEEE Transactions on Communications, vol. 70, no. 10, pp. 6734-6747 . https://doi.org/10.1109/TCOMM.2022.3204659
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that the VLC channel model is a function of the receiver's location, we propose a system model that estimates the channel state information (CSI) based on the positioning information without transmitting pilot sequences. Second, we derive the Cramer-Rao lower bound (CRLB) on the positioning error variance and a lower bound on the achievable rate with on-off keying modulation. Third, based on the derived performance metrics, we optimize the power allocation to minimize the CRLB, while satisfying the rate outage probability constraint. To tackle this non-convex optimization problem, we apply the worst-case distribution of the Conditional Value-at-Risk (CVaR) and the block coordinate descent (BCD) methods to obtain the feasible solutions. Finally, the effects of critical system parameters, such as outage probability, rate threshold, total power threshold, are revealed by numerical results.<br />Comment: 13 pages, 14 figures, accepted by IEEE Transactions on Communications
- Subjects :
- Signal Processing (eess.SP)
FOS: Computer and information sciences
Resource management
Computer Science - Information Theory
Information Theory (cs.IT)
Visible light communication
Wireless communication
Power system reliability
Technological innovation
power allocation
visible light positioning
Light emitting diodes
Cramer-Rao lower bound
FOS: Electrical engineering, electronic engineering, information engineering
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Probability
Subjects
Details
- ISSN :
- 15580857 and 00906778
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi.dedup.....b4fd738daa42907753256e33db2316ce
- Full Text :
- https://doi.org/10.1109/tcomm.2022.3204659