2020
DOI: 10.1504/ijcnds.2020.108157
|View full text |Cite
|
Sign up to set email alerts
|

Performance analysis of wireless communication networks with threshold activation process and interference signals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…The joint relay and antenna selection can also consider the selection of antenna as per the channel conditions and relay selection as per the SINR (Yang et al, 2015). Yu et al (2020) minimises the energy consumption of the system by enabling sleep mode at the BS which activates only few RF chains at a time. Demirkol and Kucur (2020) and Huang et al (2018) compares different antenna selection schemes to evaluate the outage performance of the energy harvesting relay cooperative network.…”
Section: Introductionmentioning
confidence: 99%
“…The joint relay and antenna selection can also consider the selection of antenna as per the channel conditions and relay selection as per the SINR (Yang et al, 2015). Yu et al (2020) minimises the energy consumption of the system by enabling sleep mode at the BS which activates only few RF chains at a time. Demirkol and Kucur (2020) and Huang et al (2018) compares different antenna selection schemes to evaluate the outage performance of the energy harvesting relay cooperative network.…”
Section: Introductionmentioning
confidence: 99%
“…In [ 7 ], the two–channel model with WV, negative customers, feedback, and N-strategy was proposed to reduce the energy consumption in wireless communication networks. The energy saving capabilities of WV models were also discussed from the cloud platform point of view, see, e.g., [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, queueing theory studies are also increasingly applied to the P2P network system.Ferragut and Paganini [9] analyzed the dynamic properties of P2P file exchange swarms from the queueing perspective, where the service rate received by nodes depends on the server and varied with the number of nodes. Yu et al [10] used the repairable M/M/2 queueing model to study wireless communication network, and proposed a strategy to decrease energy consumption. Si et al [11] developed an M/M/c queueing model with impatient customers and repairable fault for unstructured distributed P2P network, taking into account the node dynamic process and concluded that an appropriate increase in node conversion rate can avoid system congestion and improve energy savings.…”
mentioning
confidence: 99%