Optimized joint LiFi coordinated multipoint joint transmission clustering and load balancing for hybrid LiFi and WiFi networks

Ma, Weibin; Zhang, Lin; Jiang, Yuan

doi:10.1364/jocn.388264

Cited by 16 publications

(10 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Location detection, which is used to process data position to a very comprehensive and precise degree is another application of LiFi. LiFi technology offers indoor (10 cm high-point) navigation information and guidance, which is useful for recognizing the users' faces [42]. Therefore, LiFi may be used to locate the user's position [82,154].…”

Section: Location Detectionmentioning

confidence: 99%

See 1 more Smart Citation

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

et al. 2021

View full text Add to dashboard Cite

This paper extensively reviews and analyses Light Fidelity (LiFi), a new technology that uses light to transmit data as a high-speed wireless connection system from a wide spectrum of domains. An in-depth analysis and classifications of pertinent research areas for LiFi networks are presented in this paper. The various aspects constituting this paper include a detailed literature review, proposed classifications, and statistics, which further is deliberated to encompass applications, system architecture, system components, advantages, and disadvantages. LiFi and other technologies are compared, multi-user access techniques used in LiFi networks are investigated and open issues are addressed in detail. The paper is concluded with a comprehensive taxonomy of literature comparison that has served as the basis of the proposed open issues and research trends.

show abstract

Section: Location Detectionmentioning

confidence: 99%

“…A LiFi light bulb is used as a DLT [162]. Usually, the light bulb consists of one LED or many shaped clusters [42,90]. Quick and massive current variations can be created to produce the optical output because only Light is used [163].…”

Section: Downlink Transmitter Dltmentioning

confidence: 99%

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

et al. 2021

View full text Add to dashboard Cite

show abstract

“…These benefits put LiFi as a prime candidate for additional wireless communication technology in indoors and outdoors. In the indoors, LiFi is expected to be integrated with WiFi to increase its capacity, provide low latency and higher throughput [ 4 , 5 , 6 ]. On the other hand, in the outdoors, the LiFi communication can be integrated with 5G to enable smart cities, particularly vehicular communication where low-latency safety-critical information can be delivered through the visible light medium [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…To avoid excessive handovers in an AP, a selection method is proposed by serving users simultaneously from multiple APs [ 21 ]. The authors in [ 5 ] have proposed a joint user-centric coordination multipoint (CoMP) to improve space diversity gain and thereby improve the signal-to-noise-to-interference ratio (SINR).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Open-Source Simulation Framework for LiFi Communication

Ullah

Rehman

Chong

2021

Sensors

View full text Add to dashboard Cite

Light Fidelity (LiFi) is a new candidate for wireless networking that utilizes the visible light spectrum and exploits the existing lighting infrastructure in the form of light-emitting diodes (LEDs). It provides point-to-point and point-to-multipoint communication on a bidirectional channel at very high data rates. However, the LiFi has small coverage, and its optical gain is closely related to the receiver’s directionality vis-à-vis the transmitter, therefore it can experience frequent service outages. To provide reliable coverage, the LiFi is integrated with other networking technologies such as wireless fidelity (WiFi) thus forming a hybrid system. The hybrid LiFi/WiFi system faces many challenges including but not limited to seamless integration with the WiFi, support for mobility, handover management, resource sharing, and load balancing. The existing literature has addressed one or the other aspect of the issues facing LiFi systems. There are limited free source tools available to holistically address these challenges in a scalable manner. To this end, we have developed an open-source simulation framework based on the network simulator 3 (ns-3), which realizes critical aspects of the LiFi wireless network. Our developed ns-3 LiFi framework provides a fully functional AP equipped with the physical layer and medium access control (MAC), a mobility model for the user device, and integration between LiFi and WiFi with a handover facility. Simulation results are produced to demonstrate the mobility and handover capabilities, and the performance gains from the LiFi-WiFi hybrid system in terms of packet delay, throughput, packet drop ratio (PDR), and fairness between users. The source code of the framework is made available for the use of the research community.

show abstract

“…To this end, dynamic clustering is introduced here to realize additional performance improvements. These methods utilizes different approaches to achieve optimal performance goals, i.e., dynamic network-centric clustering [14], the blossom tree algorithm [15], graph-based clustering [16], the use of sub-cluster [17], a novel re-clustering [18], coalitional game theory [19], density-based spatial clustering [20], the use of channel state prediction [21], a weight traffic model [22], the exchange-matching algorithm [23], mixed-integer nonlinear programming [24], and the successive convex algorithm [25]. Dynamic clustering adapts to network changes, but these methods are designed based on centralized control on the network, which requires extensive information sharing and high computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Distributed Cell Clustering Based on Multi-Layer Message Passing for Downlink Joint Processing Coordinated Multipoint Transmission

2020

View full text Add to dashboard Cite

Joint processing coordinated multipoint transmission (JP-CoMP) has gained high attention as part of the effort to cope with the increasing levels of demand in the next-generation wireless communications systems. By clustering neighboring cells and with cooperative transmission within each cluster, JP-CoMP efficiently mitigates inter-cell interference and improves the overall system throughput. However, choosing the optimal clustering is formulated as a nonlinear mathematical problem, making it very challenging to find a practical solution. In this paper, we propose a distributed cell clustering algorithm that maximizes the overall throughput of the JP-CoMP scheme. The proposed algorithm renders the nonlinear mathematical problem of JP-CoMP clustering into an approximated linear formulation and introduces a multi-layer message-passing framework in order to find an efficient solution with a very low computational load. The main advantages of the proposed algorithm are that i) it enables distributed control among neighboring cells without the need for any central coordinators of the network; (ii) the computational load imposed on each cell is kept to a minimum; and, (iii) required message exchanges via backhaul result in only small levels of overhead on the network. The simulation results verify that the proposed algorithm finds an efficient JP-CoMP clustering that outperforms previous algorithms in terms of both the sum throughput and edge user throughput. Moreover, the convergence properties and the computational complexity of the proposed algorithm are compared with those of previous algorithms, confirming its usefulness in practical implementations.

show abstract

Optimized joint LiFi coordinated multipoint joint transmission clustering and load balancing for hybrid LiFi and WiFi networks

Cited by 16 publications

References 33 publications

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

A Review on LiFi Network Research: Open Issues, Applications and Future Directions

A Comprehensive Open-Source Simulation Framework for LiFi Communication

Distributed Cell Clustering Based on Multi-Layer Message Passing for Downlink Joint Processing Coordinated Multipoint Transmission

Contact Info

Product

Resources

About