Capacity analysis for dimmable visible light communications

Wang, Junbo; Hu, Qiaodan; Wang, Jiangzhou; Chen, Ming; Huang, Yuhua; Wang, Jin‐Yuan

doi:10.1109/icc.2014.6883835

Cited by 23 publications

(32 citation statements)

References 22 publications

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“…In Fig. 6, we plot the symmetric rate on the vertical axis as a function of the displacement 11 of the two users from the origin (origin is the point of intersection of the 11 Displacement is nothing but the distance of the user from the origin (see Fig. 1.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Let R 1 and R 2 denote the information rates achieved on these SISO channels with u i distributed uniformly in U i . Any given U 1 and U 2 satisfying the conditions in (11) and (12) would satisfy the optical power constraints in (4) and would therefore 7 At high SNR (P 0 /σ >> 1), uniformly distributed information symbol is near capacity achieving [10].…”

Section: An Achievable Rate Region Of the Channel In (5)mentioning

confidence: 99%

“…Similarly, for the case of dimmable VLC IM/DD SISO channel with peak constraint, there is no closed from expression for the capacity. However following a similar approach as in [6], an upper and lower bound is presented in [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Achievable Rate Region of the Zero-Forcing Precoder in a $2\times 2$ MU-MISO Broadcast VLC Channel With Per-LED Peak Power Constraint and Dimming Control

Agarwal¹,

Mohammed²

2017

J. Lightwave Technol.

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Abstract-In this paper, we consider the 2 × 2 multi-user multiple-input-single-output (MU-MISO) broadcast visible light communication (VLC) channel with two light emitting diodes (LEDs) at the transmitter and a single photo diode (PD) at each of the two users. We propose an achievable rate region of the Zero-Forcing (ZF) precoder in this 2 × 2 MU-MISO VLC channel under a per-LED peak and average power constraint, where the average optical power emitted from each LED is fixed for constant lighting, but is controllable (referred to as dimming control in IEEE 802.15.7 standard on VLC). We analytically characterize the proposed rate region boundary and show that it is Pareto-optimal. Further analysis reveals that the largest rate region is achieved when the fixed per-LED average optical power is half of the allowed per-LED peak optical power. We also propose a novel transceiver architecture where the channel encoder and dimming control are separated which greatly simplifies the complexity of the transceiver. A case study of an indoor VLC channel with the proposed transceiver reveals that the achievable information rates are sensitive to the placement of the LEDs and the PDs. An interesting observation is that for a given placement of LEDs in a 5 m × 5 m × 3 m room, even with a substantial displacement of the users from their optimum placement, reduction in the achievable rates is not significant. This observation could therefore be used to define "coverage zones" within a room where the reduction in the information rates to the two users is within an acceptable tolerance limit.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: An Achievable Rate Region Of the Channel In (5)mentioning

confidence: 99%

See 1 more Smart Citation

Achievable Rate Region of the Zero-Forcing Precoder in a $2\times 2$ MU-MISO Broadcast VLC Channel With Per-LED Peak Power Constraint and Dimming Control

Agarwal¹,

Mohammed²

2017

J. Lightwave Technol.

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show abstract

“…Nevertheless, several bounds on the channel capacity exist, and these bounds are tight in some cases [11]- [15]. For instance, for a channel with an average constraint only, [11] derived capacity upper and lower bounds that meet at high signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

Free-Space Optical Communications: Capacity Bounds, Approximations, and a New Sphere-Packing Perspective

Chaaban

Morvan

Alouini

2016

IEEE Trans. Commun.

151

158

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“…In our previous paper [14], the tight capacity bounds are derived for the dimmable VLC under the non-negativity and average power constraints. Moreover, by adding an additional peak power constraint, we in [15] analyzed the capacity bounds for the dimmable VLC systems. In [16], we further discussed the capacity-approaching input distribution and the channel capacity for pulse amplitude modulated VLC systems.…”

Section: Introductionmentioning

confidence: 99%

Capacity bounds for dimmable visible light communications using PIN photodiodes with input-dependent Gaussian noise

Wang

Chen

et al. 2014

2014 IEEE Global Communications Conference

Self Cite

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In this paper, we focus on a dimmable visible light communication (VLC) system using PIN photodiodes. In such a system, the main distortion is caused by additive Gaussian noise, however, with a noise variance depending on the current signal strength. Under the non-negativity, peak power and dimmable average power constraints, the lower and upper bounds on the channel capacity are derived, respectively. Specifically, the derivation of the lower bound is based on the fact that the entropy of the output is always larger than the entropy of the input, while the derivation of the upper bound relies on the dual expression of the channel capacity and the notion of capacity-achieving input distribution that escape to infinity. Numerical results show that the gap between the lower and upper bounds is very small in the VLC application zone.

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Capacity analysis for dimmable visible light communications

Cited by 23 publications

References 22 publications

Achievable Rate Region of the Zero-Forcing Precoder in a $2\times 2$ MU-MISO Broadcast VLC Channel With Per-LED Peak Power Constraint and Dimming Control

Achievable Rate Region of the Zero-Forcing Precoder in a $2\times 2$ MU-MISO Broadcast VLC Channel With Per-LED Peak Power Constraint and Dimming Control

Free-Space Optical Communications: Capacity Bounds, Approximations, and a New Sphere-Packing Perspective

Capacity bounds for dimmable visible light communications using PIN photodiodes with input-dependent Gaussian noise

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