Energy Efficiency Maximization in Multi-User Miso Mixed RF/VLC Heterogeneous Cellular Networks

Hsiao, Yi Chun; Chen, Chien‐Ming; Lin, Che

doi:10.1109/sahcn.2018.8397105

Cited by 9 publications

(14 citation statements)

References 26 publications

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“…Here, we analyze the advantages of the proposed algorithms and compare the performances of the proposed mixed RF/VLC network structure with that of a traditional RF heterogeneous wireless network. We assume that N = 4, N t = 6, K = 2, P RF,max = 0.1 Watts, P RF = 6.7 Watts, P V LC = 2 Watts, ξ 1 = ξ 2 = 5, the bandwidths of RF and VLC are 10 MHz and 20 MHz, respectively [6], [12], [16]. Same noise power is assumed for all users (i.e., σ 2…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [6], the authors investigated power allocation to maximize EE for a mixed RF/VLC network structure; however, they only considered a simple single-input single-output case, and thus, the beamforming technique could not be applied. In our previous work [12], instead, we aimed to maximize EE in a simple mixed RF/VLC system model, where each VLC AP only serves a user at a time in the perfect channel state information (CSI) case.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks

Hsiao

Lin

2019

IEEE Trans. Signal Process.

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A coordinated beamforming design for heterogeneous wireless networks combining radio frequency (RF) and visible light communication (VLC) access points (AP), with several users receiving information simultaneously from both APs, was investigated. Our goal was to maximize the energy efficiency (EE) of the entire system under both the perfect and imperfect channel state information (CSI) conditions. For such optimization, we formulated a fractional programming problem, and to overcome its nonconvex objective function and constraints, we developed four successive convex approximation methods. Our extensive numerical experiments demonstrated that these algorithms can achieve nearoptimal performance. Furthermore, in the perfect CSI case, EE performance was improved by 62% over the maximum ratio transmission (MRT) scheme, and EE of the proposed RF/VLC network increased by 41% compared with traditional that of the RF heterogeneous wireless networks. In the imperfect CSI case, we first investigated the importance of robust beamforming when channel errors occur. Moreover, the proposed algorithm and network architecture outperformed the MRT scheme and the traditional heterogeneous wireless network by 229% and 93%, respectively. In summary, the careful design of an energy-efficient beamforming scheme was proved essential, and the proposed mixed RF/VLC network architecture was much more energy efficient than those without VLC.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks

Hsiao

Lin

2019

IEEE Trans. Signal Process.

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“…In [12], beam-forming vectors for RF and VLC are optimized for maximizing energy efficiency in multiple VLC-APs and RF-AP networks. The considered network consists of multiple VLC-APs in multiple rooms with a single VLC-AP per room as a result there is zero VLC interference.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of MAC Frame Slots and Power in Hybrid VLC/RF Networks

et al. 2020

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Hybrid visible light communication and radio frequency (VLC/RF) networks provide combined benefits of both visible light and radio frequency technologies. This is an eminent technology for providing 5G services in an indoor environment. Because of small coverage range, multiple VLC cells coexist in a close proximity. For efficiently utilizing resources of multiple VLC access points (VLC-APs), a different approach than conventional multi RF-APs based resource allocation schemes is required due to unique characteristics of light. In this paper, we provide an optimized solution for combined power and slot allocation in hybrid VLC/RF networks with the objective of maximizing sum rate for a downlink communication scenario. The resources are optimized on frame by frame basis, instead of per request basis. This frame-based optimization reduces the frequency of optimization and also improves the utilization of the resources. The non-convex problem of joint slot and power allocation is divided into less complex sub problems and solved iteratively. The performance of the joint slot and power allocation (JSPA) scheme has been analyzed for data rate and fairness factor for varying values of network size and minimum quality of service (QoS) requirements. The analysis exhibits on average more than 65% improvement in both fairness factor and average sum rate as compared to single VLC-AP based scheme (SV O RF), in which single VLC-AP is utilized for a user and RF-AP is utilized to offload traffic when VLC resources are not sufficient. Moreover, we propose a hybrid user-centeric and network-centeric (H-Uc/Nc) scheme for slot allocation which entails far less computational complexity. Although, H-Uc/Nc scheme performs inferior to optimized scheme, however, it exhibits much better performance than (SV O RF).

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“…Besides the sum data rate improvement and the network latency decrease, the EE maximization in heterogeneous RF/VLC networks have been investigated recently [72,74,158,234], which is an important performance metric in wireless communications.…”

Section: Discussionmentioning

confidence: 99%

“…The authors in [72] and [74] proposed energy-efficient subchannel and power allocation approaches to maximize EE under the minimum data rate requirements of users in hybrid or heterogeneous RF/VLC networks, while Khreishah et al [158] focused on the power consumption minimization and the acceptable illumination level maintenance. In addition, a coordinated beamforming approach was proposed to maximize the network EE with considering QoS constraints in downlink heterogeneous RF/VLC networks [234]. The above reported works have the ability to improve the communication performance, but the practical indoor environments may have different QoS requirements, such as IoT devices may need high transmission data rates while industrial IoT devices (industrial purpose, sensors, machines, robots etc.)…”

Section: Discussionmentioning

confidence: 99%

Visible light communication systems supporting wireless data access and indoor positioning applications

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Energy Efficiency Maximization in Multi-User Miso Mixed RF/VLC Heterogeneous Cellular Networks

Cited by 9 publications

References 26 publications

Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks

Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks

Optimization of MAC Frame Slots and Power in Hybrid VLC/RF Networks

Visible light communication systems supporting wireless data access and indoor positioning applications

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