Optimum Resource Allocation in 6G Optical Wireless Communication Systems

Alsnlami, Osama Zwaid; Alahmadi, Amal A.; Saeed, Sarah O. M.; Mohamed, Sanaa Hamid; El-Gorashi, Taisir E. H.; Alresheedi, Mohammed T.; Elmirghani, Jaafar M. H.

doi:10.1109/6gsummit49458.2020.9083828

Cited by 7 publications

(5 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…remain as a gap which the current networks shall not support [12]. Further, technology components including hardware, software and overall ecosystem (devices, spectrum and standards, security, data management algorithms, cloud-based core and access solutions, and applications) need tremendous upgrade [19][20][21][22][23]28].…”

Section: Scope Of Future Networkmentioning

confidence: 99%

See 1 more Smart Citation

6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

173

View full text Add to dashboard Cite

Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID'19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.

show abstract

Section: Scope Of Future Networkmentioning

confidence: 99%

“…Their study concludes that 6G business models can rely on scalability and sustainability. [20,73,125] Resource Allocation in B5G and 6G…”

Section: Literature Reviewmentioning

confidence: 99%

6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

173

View full text Add to dashboard Cite

show abstract

“…Such issues need to be tackled to obtain a feasible solution that will ensure the successful convergence of VHTS systems with terrestrial networks and thus aid in accomplishing the extremely high throughput requirements. Along with VHTS, optical wireless communications can also be a promising technology in obtaining the Tbps system throughput 96 envisioned for 6G wireless networks with the vast amount of additional spectrum. 68 However, they too face challenges when it comes to attaining such high data rates.…”

Section: Throughputmentioning

confidence: 99%

“…Along with VHTS, optical wireless communications can also be a promising technology in obtaining the Tbps system throughput 96 envisioned for 6G wireless networks with the vast amount of additional spectrum 68 . However, they too face challenges when it comes to attaining such high data rates.…”

Section: Qos In 6g Wireless Networkmentioning

confidence: 99%

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state-of-the-art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

show abstract

“…Within this transformative landscape, it is expected that the strategic integration of ML techniques plays a crucial role [35,36]. At the same time, a wide spectrum of modulation techniques are being investigated or proposed, including OFDM and its variants, to achieve a high level of spectral efficiency [37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

View full text Add to dashboard Cite

Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it will likely be essential to Sixth Generation (6G) wireless communication systems. However, OFDM introduces a high Peak to Average Power Ratio (PAPR) in the time domain due to constructive interference among multiple subcarriers, increasing the complexity and cost of the amplifiers and, consequently, the cost and complexity of 6G networks. Therefore, the development of new solutions to reduce the PAPR in OFDM systems is crucial to 6G networks. The application of Machine Learning (ML) has emerged as a promising avenue for tackling PAPR issues. Along this line, this paper presents a comprehensive review of PAPR optimization techniques with a focus on ML approaches. From this survey, it becomes clear that ML solutions offer customized optimization, effective search space navigation, and real-time adaptability. In light of the demands of evolving 6G networks, integration of ML is a necessity to propel advancements and meet increasing prerequisites. This integration not only presents possibilities for PAPR reduction but also calls for continued exploration to harness its potential and ensure efficient and reliable communication within 6G networks.

show abstract

Optimum Resource Allocation in 6G Optical Wireless Communication Systems

Cited by 7 publications

References 42 publications

6G Ecosystem: Current Status and Future Perspective

6G Ecosystem: Current Status and Future Perspective

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

A Survey of PAPR Techniques Based on Machine Learning

Contact Info

Product

Resources

About