2023
DOI: 10.1109/twc.2022.3195234
|View full text |Cite
|
Sign up to set email alerts
|

Short-Packet Communications in Multihop Networks With WET: Performance Analysis and Deep Learning-Aided Optimization

Abstract: In this paper, we study short-packet communications in multi-hop networks with wireless energy transfer, where relay nodes harvest energy from power beacons to transmit short packets to multiple destinations. It is proposed a novel cooperative beamforming relay selection (CRS) scheme which incorporates partial relay selection and distributed multiuser beamforming to achieve a high-reliable transmission in two consecutive hops. A closed-form expression for the average block error rate (BLER) of the CRS scheme i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
2
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(4 citation statements)
references
References 39 publications
(92 reference statements)
0
4
0
Order By: Relevance
“…However, this work did not consider an eavesdropping attack. In [37], the authors exploited the outage performance for short packet communication in a multihop transmission with wireless energy transfer. This work also did not consider an eavesdropping attack.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…However, this work did not consider an eavesdropping attack. In [37], the authors exploited the outage performance for short packet communication in a multihop transmission with wireless energy transfer. This work also did not consider an eavesdropping attack.…”
Section: Related Workmentioning
confidence: 99%
“…Different from previous works in [34][35][36][37] that studied various strategies to improve multihop transmission performance without considering an active eavesdropper attack, we propose a cooperative multihop relaying network in confronting a passive and active eavesdropper using node selection schemes. Other works in [30][31][32] only studied the secrecy performance of a dual-hop transmission under active eavesdropping attacks, while with the higher number of node clusters, the end-to-end security is harder to be deployed in multicluster WSNs [10].…”
Section: Related Workmentioning
confidence: 99%
“…However, the simulation method suffers from long execution times over enormous numbers of iterations to achieve exactly converged results, whereas the numerical-integration method takes a very long time to solve non-trivial functions. Because of the high accuracy of estimating nonlinear functions at considerably low complexity, DL-based evaluation has overcome the limitations of model-based approaches [19], [20]. In this study, a deep multiple-output neural network (DMNN) framework, which is an extended version of a conventional deep neural network (DNN), was designed to effectively and simultaneously predict multiple performance metrics in terms of the ETP, energy efficiency (EE), and reliability.…”
Section: Introductionmentioning
confidence: 99%
“…Deploying both AF and DF, the performance system in terms of BLER of a cooperative network where a relay is shared for cellular network and Internet of Things (IoT) network was evaluated [15]. The authors of [16] used machine learning as a novel tool for addressing the throughput maximization of a multi-hop network with SPC. With the effective combination of AF and DF protocols, the authors in [17] proposed a new relay protocol that achieves performance advantages and saves transmission power.…”
mentioning
confidence: 99%