Optimizing fairness in cellular networks with mobile drone relays

Arribas, Edgar; Mancuso, Vincenzo; Cholvi, Vicent

doi:10.1016/j.comnet.2023.109623

Cited by 7 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Aerial base stations for cellular networks draw its attention onto fairness metric and the convex problem which mixed integer and intractable in nature. Resource scheduling and drone relay stations are introduced to handle the fairness metric in aerial base stations (Arribas, E. et al, 2023), (Radha, S. et al, 2020). Relay nodes are randomly selected by cluster head according to the distributions probability and achieving data transmission with low deployment cost using a random relay matrix.…”

Section: Distributed Macmentioning

confidence: 99%

“…Aerial base stations draw attraction in recent times for cellular networks. These aerial networks are drone carried and must be maintained and monitored accordingly which need additional effort like taking care of line of sight problems are introducing more number of drones (Arribas, E. et al, 2023). Cloud technology with IoT connected devices like detectors, RFID, controllers and 3G networks by improving processing and capacity to improve data skew rate and decrease complexity of the interconnections (Raghavendar, K. et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization Techniques in Cooperative and Distributed MAC Protocols

Subramanyam,

Rekha,

Nagabushanam

et al. 2024

International Journal of Intelligent Information Technologies

View full text Add to dashboard Cite

The tremendous increase in wireless network application finds distributed allocation of resources allocation very useful in the network. Packet delivery ratio and delay can be improved by concentrating on payload size, mobility, and density of nodes in the network. In this article, a survey is carried out on different cooperative and distributed MAC protocols for communication and optimization algorithms for various applications and the mathematical issues related to game theory optimizations in MAC protocol. Spatial reuse of channel improved by (3-29) % and multi-channel improves throughput by 8% using distributed MAC protocol. The energy utility of individual players can be focused to get better network performance with NASH equilibrium. Fuzzy logic improves channel selection by 17% and secondary users' involvement by 8%. Jamming, interference problems can be addressed using cross layer approach in the MAC and simultaneous data, voice transmissions in IoT; WSN applications can be attained using hybrid distributed MAC protocol.

show abstract

Section: Distributed Macmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%