Content and network-aware multicast over wireless networks

Alwis, Chamitha de; Arachchi, Hemantha Kodikara; Fernando, Anil; Pourazad, Mahsa T.

doi:10.1109/qshine.2014.6928670

Cited by 12 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It signifies the suitability of the proposed S-RLNC-MGM model towards multimedia data transmission or multicast over LTE/LTE-A protocol standard. Recently, authors [55] developed a practical network coding (PNC) scheme for content and network aware multimedia multicast. Though, our work exploits multicast nature of the PNC proposed in [55], the implementation of our proposed S-RLNC-MGM model enables better performance in terms of multimedia data transmission.…”

Section: Resultsmentioning

confidence: 99%

S-RLNC based MAC Optimization for Multimedia Data Transmission over LTE/LTE-A Network

Patil

Gupta²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

The high pace emergence in communication systems and associated demands has triggered academia-industries to achieve more efficient solution for Quality of Service (QoS) delivery for which recently introduced Long Term Evolution (LTE) or LTE-Advanced has been found as a promising solution. However, enabling QoS and Quality of Experience (QoE) delivery for multimedia data over LTE has always been a challenging task. QoS demands require reliable data transmission with minimum signalling overheads, computational complexity, minimum latency etc, for which classical Hybrid Automatic Repeat Request (HREQ) based LTE-MAC is not sufficient. To alleviate these issues, in this paper a novel and robust Multiple Generation Mixing (MGM) assisted Systematic Random Linear Network Coding (S-RLNC) model is developed to be used at the top of LTE MAC protocol stack for multimedia data transmission over LTE/LTE-A system. Our proposed model incorporated interleaving and coding approach along with MGM to ensure secure, resource efficient and reliable multiple data delivery over LTE systems. The simulation results reveal that our proposed S-RLNC-MGM based MAC can ensure QoS/QoE delivery over LTE systems for multimedia data communication.

show abstract

Section: Resultsmentioning

confidence: 99%

S-RLNC based MAC Optimization for Multimedia Data Transmission over LTE/LTE-A Network

Patil

Gupta²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

show abstract

“…The sophistication of services emerges the complexity in different aspects of the telecommunication domain. The restricted resources in telecommunication required to allocate and utilize in a paradigmatic manner [191]. Furthermore, the subscriber-user agreements with their complexities must compatible with scalability requirements with future elastic demands.…”

Section: Autonomous and Intelligent Resource Sharing In Telecommunicationmentioning

confidence: 99%

Survey on blockchain based smart contracts: Applications, opportunities and challenges

Hewa

Ylianttila

Liyanage

2021

Journal of Network and Computer Applications

275

View full text Add to dashboard Cite

Blockchain is one of the disruptive technical innovation in the recent computing paradigm. Many applications already notoriously hard and complex are fortunate to ameliorate the service with the blessings of blockchain and smart contracts. The decentralized and autonomous execution with in-built transparency of blockchain based smart contracts revolutionize most of the applications with optimum and effective functionality. The paper explores the significant applications which already benefited from the smart contracts. We also highlight the future potential of the blockchain based smart contracts in these applications perspective.

show abstract

“…Specifically, VR/AR/MR applications require high data rates beyond 20 Gbps and round-trip overthe-air latency beneath 1 ms with high network reliability and availability [38]. On the other hand, multimedia IoT systems require efficient communication of captured footage to servers to perform video analytics for behavior analysis and event detection [85]. These demands should be catered by B5G networks.…”

Section: B Networked Multimedia Applicationsmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytime-anywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forwardlooking perspective for Beyond 5G networks. In that regard, we deduce lessons learned from related works (for both 5G and Beyond 5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research

show abstract

Content and network-aware multicast over wireless networks

Cited by 12 publications

References 16 publications

S-RLNC based MAC Optimization for Multimedia Data Transmission over LTE/LTE-A Network

S-RLNC based MAC Optimization for Multimedia Data Transmission over LTE/LTE-A Network

Survey on blockchain based smart contracts: Applications, opportunities and challenges

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Contact Info

Product

Resources

About