Capacity Bounds and Interference Management for Interference Channel in Visible Light Communication Networks

Ma, Shuai; Li, Hang; He, Yong; Yang, Ruixin; Lu, Songtao; Cao, Wen; Li, Shiyin

doi:10.1109/twc.2018.2878585

Cited by 30 publications

(24 citation statements)

References 40 publications

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“…Due to technical limitations, such a communication method has not drawn much attention for a long period. With the fast development of light-emitting diodes (LEDs), visible light communications (VLC) has attracted considerable interest recently [3], [4]. As a compelling alternative technology for radio frequency (RF) communications, VLC is free from RF interference and is license-free [5].…”

Section: Introductionmentioning

confidence: 99%

Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise

Wang

et al. 2021

IEEE Trans. Wireless Commun.

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Channel capacity bounds are derived for a point-to-point indoor visible light communications (VLC) system with signal-dependent Gaussian noise. Considering both illumination and communication, the non-negative input of VLC is constrained by peak and average optical intensity constraints. Two scenarios are taken into account: one scenario has both average and peak optical intensity constraints, and the other scenario has only average optical intensity constraint. For both two scenarios, we derive closedfrom expressions of capacity lower and upper bounds. Specifically, the capacity lower bound is derived by using the variational method and the property that the output entropy is invariably larger than the input entropy. The capacity upper bound is obtained by utilizing the dual expression of capacity and the principle of "capacity-achieving source distributions that escape to infinity". Moreover, the asymptotic analysis shows that the asymptotic performance gap between the capacity lower and upper bounds approaches zero. Finally, all derived capacity bounds are confirmed using numerical results. Index terms-Channel capacity, Signal-dependent Gaussian noise, Tight bounds, Visible light communications.

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Section: Introductionmentioning

confidence: 99%

Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise

Wang

et al. 2021

IEEE Trans. Wireless Commun.

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“…The authors of [30] consider the problem of optimizing the beamforming vectors through minimizing the transmit power subject to QoS constraints in NOMA-MISO multi-user dynamic and static systems. The authors in [31] extend the work of [30] for multi-cell system model and develop centralized and distributed interference management schemes for VLC systems. Recently, the authors in [32] investigate the outage capacity for a limited system model, consisting of one VLC AP and two users (one is covered, while the other is out of the coverage).…”

Section: B Related Workmentioning

confidence: 96%

“…are given by (28) and (29), or given by (30) and (31), respectively. In addition, the constraints (27) are linear, which shows that problem (27) is convex.…”

Section: Appendix B Proof Of Propositionmentioning

confidence: 99%

User Pairing, Link Selection, and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems

Obeed

Dahrouj

Salhab

et al. 2021

IEEE Trans. Wireless Commun.

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Despite the promising high-data rate features of visible light communications (VLC), they still suffer from unbalanced services due to blockages and channel fluctuation among users. This paper introduces and evaluates a new transmission scheme which adopts cooperative non-orthogonal multiple access (Co-NOMA) in hybrid VLC/radio-frequency (RF) systems, so as to improve both system sum-rate and fairness. Consider a network consisting of one VLC access point (AP) and multiple strong and weak users, where each weak user is paired with a strong user. Each weak user can be served either directly by the VLC AP, or via the strong user which converts light information received through the VLC link, and forwards the information to the weak user via the RF link. The paper then maximizes a network-wide weighted sum-rate, so as to jointly determine the strong-weak user-pairs, the serving link of each weak user (i.e., either direct VLC or hybrid VLC/RF), and the power of each user message, subject to user connectivity and transmit power constraints. The paper tackles such a mixed-integer non-convex optimization problem using an iterative approach. Simulations show that the proposed scheme significantly improves the VLC network performance (i.e., sum-rate and fairness) as compared to the conventional NOMA scheme.

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“…After that, we develop an iterative algorithm to solve the approximate problem by checking the feasibilities of a series of SOCP problems. • To facilitate the algorithm's implementation, we further recast the SOCP problem such that it fits into the alternating direction method of multipliers (ADMMs) framework [29][30][31][32]. Finally, we devise a user-level distributed algorithm to iteratively solve the SOCP problem.…”

Section: Contributions Of Our Workmentioning

confidence: 99%

Joint admission control and beamforming in max–min fairness networks

Lin

Yang³

et al. 2019

IET Communications

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Capacity Bounds and Interference Management for Interference Channel in Visible Light Communication Networks

Cited by 30 publications

References 40 publications

Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise

Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise

User Pairing, Link Selection, and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems

Joint admission control and beamforming in max–min fairness networks

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