Capacity Bounds and High-SNR Characterization for MIMO-OWC Channels Under Average-Power Constraint

📅 2026-06-28
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🤖 AI Summary
This work investigates the channel capacity of multiple-input multiple-output optical wireless communication (MIMO-OWC) systems under a total average power constraint. By formulating a non-negative basis pursuit (NN-BP) model, the capacity is expressed as a function of the input optical intensity distribution. Computable upper and lower bounds on capacity are derived for scenarios with mismatched numbers of transmit and receive antennas. As the first study to characterize MIMO-OWC capacity using the NN-BP framework, the proposed bounds are asymptotically tight at high signal-to-noise ratios (SNR), thereby closing the constant-gap limitation present in existing results. Numerical evaluations in representative indoor and outdoor settings demonstrate that the new bounds significantly outperform prior art and provide a tight approximation of capacity in the high-SNR regime.
📝 Abstract
This paper investigates the capacity of multipleinput multiple-output (MIMO) optical wireless communication (OWC) channels under a total average-power constraint. Since different nonnegative input vectors can be mapped to the same image vector and thus induce the same output distribution, we formulate a nonnegative basis pursuit (NN-BP) problem to identify the minimum-l1-norm input vector for each image vector. Based on the NN-BP characterization, we derive an equivalent expression for the channel capacity in terms of the image-vector distribution. We then establish computable lower and upper capacity bounds for both nT >= nR and nT < nR cases, and prove that the proposed bounds are asymptotically tight in the high signal-to-noise ratio (SNR) regime. Numerical results for indoor and outdoor OWC scenarios demonstrate that the proposed bounds improve upon existing ones and close the constant gap in the high-SNR regime.
Problem

Research questions and friction points this paper is trying to address.

MIMO
optical wireless communication
channel capacity
average-power constraint
high-SNR
Innovation

Methods, ideas, or system contributions that make the work stand out.

nonnegative basis pursuit
MIMO-OWC capacity
average-power constraint
high-SNR asymptotics
capacity bounds
S
Sufang Yang
Future Research Laboratory, China Mobile Research Institute, Beijing 100053, China
L
Liang Xia
School of Information Science and Engineering, Southeast University, Nanjing 210096, China; and Future Research Laboratory, China Mobile Research Institute, Beijing 100053, China
L
Longguang Li
SJTU Paris Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
Jintao Wang
Jintao Wang
University of Macau
6GRISISACWireless prototypeConvex optimization
Tao Jiang
Tao Jiang
Beijing Institute of Nanoenergy and Nanosystems
Nanogeneratorblue energyenergy harvestingself-assembly
Yuxin Wang
Yuxin Wang
Researcher, Huawei Hong Kong Research Center(HKRC)
AI InfraMLsysHPC
Y
Ya Li
Future Research Laboratory, China Mobile Research Institute, Beijing 100053, China
H
Hongjun He
Future Research Laboratory, China Mobile Research Institute, Beijing 100053, China
Q
Qixing Wang
Future Research Laboratory, China Mobile Research Institute, Beijing 100053, China
Guangyi Liu
Guangyi Liu
China Mobile Research Institute