Selection between Radio Frequency and Visible Light Communication Bands for D2D

Bečvář, Zdeněk; Najla, Mehyar; Mach, Pavel

doi:10.1109/vtcspring.2018.8417703

Cited by 14 publications

(20 citation statements)

References 15 publications

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“…where R j ∈ [R min , R max ] is the user j demand rate, according to (14), sort the users in descending order, select the extreme user U E , and transfer this user to the WIFI network. As depicted in Fig.…”

Section: ) Vlc Extreme User Criteriamentioning

confidence: 99%

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Elite User Clustering-Based Indoor Heterogeneous VLC Interference Management and Sub-Channel Allocation Strategy

et al. 2020

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The visible light communication (VLC) and wireless fidelity (WIFI) heterogeneous network is considered as a highly competitive candidate for the next generation indoor wireless communication. VLC provides high data rate as downlink transmission while WIFI can be supplied to achieve uplink transmission and make up for link interruptions caused by occlusion. Due to the dense distribution of VLC access points (APs), data rate of users is reduced by inter-cell interference (ICI) seriously, therefore, interference management (IM) is crucial to ensure user satisfaction. Meanwhile, as the number of users increases, in order to ensure the needs of users, reasonable resource allocation is required in such heterogeneous network. Hence, the center of the elite user clustering attracts its non-interfering users to join a cluster that is a user with good channel quality and high demand. And users in one cluster share resources by sub-channel reuse. In consideration of interference management and resource allocation, we investigated resource allocation based on elite users clustering for interference management in heterogeneous network, which is formulated as a throughput maximization problem, and a graph-based IM is proposed to solve it. Compared with the benchmark 1 and benchmark 2 on a rectangular layout and an irregular layout, the simulation results demonstrate that the throughput of the proposed elite user clustering algorithm is increased by 19.5% and 12%, the average user satisfaction ratio is increased by 14% and 9%, respectively. INDEX TERMS VLC heterogeneous networks, interference management, elite user clustering, inter-cell interference, user satisfaction.

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Section: ) Vlc Extreme User Criteriamentioning

confidence: 99%

“…Authors of Ref. [14] considered the selection between RF and VLC to enhance the system throughput by interference suppression. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Elite User Clustering-Based Indoor Heterogeneous VLC Interference Management and Sub-Channel Allocation Strategy

et al. 2020

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“…1) RF D2D: The RF band is used for the D2D communication and all the D2D pairs reuse the whole bandwidth [20]. This algorithm illustrates the performance of the D2D communication in the case where only the RF band is available (without VLC D2D).…”

Section: B Competitive Algorithms and Performance Metricsmentioning

confidence: 99%

“…Thus, in this paper, we investigate the problem of the selecting between RF or VLC for individual D2D pairs in a multi-user scenario, where the D2D pairs using the same technology (either RF or VLC) mutually interfere with each other. Note that the initial idea of this paper has been presented in our conference paper [20] in a simplified version. To this end, we extend [20] by formulating the problem in a more general way as a constrained discrete sum capacity maximization problem that might not always be solvable under the zero outage constraint.…”

Section: Introductionmentioning

confidence: 99%

“…Note that the initial idea of this paper has been presented in our conference paper [20] in a simplified version. To this end, we extend [20] by formulating the problem in a more general way as a constrained discrete sum capacity maximization problem that might not always be solvable under the zero outage constraint. Then, we show that this problem should be transformed into a multi-objective optimization problem to guarantee the existence of a solution.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Exploitation of Radio Frequency and Visible Light Communication Bands for D2D in Mobile Networks

et al. 2019

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The concept of device-to-device (D2D) communication, combining common radio frequency (RF) and visible light communication (VLC), is seen as a feasible way how to cope with spectrum crunch in the RF domain and how to maximize spectral efficiency in general. In this paper, our objective is to decide when RF should be utilized or if VLC proves to be the more profitable option. The selection between RF and VLC is defined as a multi-objective optimization problem targeting primarily to minimize the outage ratio while the secondary objective is to maximize the sum capacity of D2D pairs, composed by D2D transmitters and D2D receivers. To solve this problem, we design a centralized low-complexity heuristic algorithm selecting either RF or VLC band for each D2D pair relying on the mutual interference among the pairs. For interpretation of the mutual interference among the D2D pairs, we exploit directed weighted graphs adopted from the graph theory. The simulation results show that the proposed algorithm outperforms state-of-the-art algorithms in terms of the outage ratio, sum capacity and average energy efficiency. What is more, despite a very low complexity, the proposed algorithm reaches a close-to-optimum performance provided by the exhaustive search algorithm.

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