Mobile Relay Stations Navigation-Based Self-Optimization Handover Mechanism in WiMAX Networks

Chang, Jingbo; Hsiao, Wei-Te; Chen, Jiann-Liang; Chao, Han‐Chieh

doi:10.1109/icut.2009.5405742

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…where d k →r is the distance between user k and user-relay candidate r. The UEs can have the knowledge of their distance to the BS and to the other users, via the use of global positioning system [45,47]. The RA is performed for all UEs by allowing only direct links through the duration T 11 at subframe 1.…”

Section: The Proposed Frame Structure and Rrm For User-relay Assistedmentioning

confidence: 99%

Radio resource management for user-relay assisted OFDMA-based wireless networks

Baştürk

Özbek

2016

AEU - International Journal of Electronics and Communications

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a b s t r a c tOrthogonal frequency division multiple access (OFDMA) based relay assisted networks are important for current and next-generation wireless networks since they have great potential to provide high data rate to users at anywhere, anytime. Towards that end, fixed relay assisted OFDMA networks are commonly utilized by the operators. However, they require supplementary costly infrastructure. User-relay assisted OFDMA-based networks are promising candidates to fulfill the demanding coverage and capacity requirements of future wireless networks in a cost efficient way. Thus, they have become popular as a complementary solution to fixed relay networks. Generic frame structure that divides the resource allocation frame into two subframes is mostly used in the literature for fixed and user-relay assisted networks in which it is assumed that a user can act as a destination and a relay simultaneously. However, it may be difficult to apply this assumption to practical systems because of the limitations of the current transceiver design. Thus, we propose a novel frame structure for user-relay assisted OFDMA-based wireless networks in order to cope with these drawbacks. The efficient radio resource management algorithms including relay selection and resource allocation are developed in order to exploit the opportunities of the proposed frame structure.

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Section: The Proposed Frame Structure and Rrm For User-relay Assistedmentioning

confidence: 99%

Radio resource management for user-relay assisted OFDMA-based wireless networks

Baştürk

Özbek

2016

AEU - International Journal of Electronics and Communications

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“…With the rapid development of computer vision, deep learning methods for target detection are mainly divided into two technical paths: One stage detection algorithm and Two stage detection algorithm. 2014 Ross B. Girshick of University of California, Berkeley proposed the algorithm of R-CNN [3] to combine CNN with the field of target detection, which opened the era of two stage. In 2015, Ross Girshick of Microsoft Research proposed an improved Fast R-CNN [4] The two-stage approach represented by R-CNN algorithm faster almost achieves the optimal effect, but encounters a bottleneck in speed, and there is great room for improvement in real-time performance.…”

Section: Introductionmentioning

confidence: 99%

A modified YOLOv5 helmet detection algorithm based on Swin Transformer

Liu¹,

Luo²,

Liu³

2023

FCIS

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For the current stage of helmet detection in complex environments with low accuracy, missed detection and not easy to manage wearing, this paper proposes a YOLOv5 face helmet detection algorithm based on Swin Transformer improvement from the overall semantics of the image. In this paper, experiments are conducted using a self-built dataset to further enhance the performance of the model and improve the accuracy of face helmet detection through Mosaic data enhancement, label smoothing processing, adaptive weighted features combined with Wconcat module and the application of C3TR and C3STR modules to fuse multi-scale information, enhance the feature extraction capability of the network, and improve the generalization and robustness of the model with a self-built dataset . Experiments show that the improved YOLOv5 face helmet detection algorithm mAP based on Swin Transformer improves 5.7% compared with Faster RCNN, 6.1% compared with YOLOV3, 5.3% compared with YOLOV4, and 1.6% compared with the original algorithm. It performs well in helmet face detection tasks in complex environments, achieving real-time detection and higher accuracy, while reducing missed detections.

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“…Self optimization HandOver (HO) mechanism, [4] Reduces HO numbers and optimizes channel scanning -Does not consider security issues-Uses GPS Fast HO scheme, [5] Minimizes collisions in order to achieve fast HO Does not consider security issues…”

Section: Research Work Characteristics Shortcomingsmentioning

confidence: 99%

“…For instance, Chang et al [4] proposed a self-optimization handover mechanism that uses the global positioning system (GPS) navigation system in order to reduce the number of possible handover and optimize the channel scanning procedure. Chang et al [5] propose an algorithm that minimizes collusion in contention-based initial ranging and bandwidth request in order to achieve fast handover along with low dropping and low collision probability.…”

Section: Introductionmentioning

confidence: 99%

Intrusion tolerant QoS provision in mobile multihop relay networks

Krichene

Boudriga

2013

J Wireless Com Network

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We propose in this article an architecture called trusted timely attacks-tolerating communication architecture (3TCA) designed for mobile multihop relay (MMR) networks. The 3TCA architecture is based on trusted components providing trusted time-related and security-related services along with an intrusion-related service while guaranteeing QoS compensation. 3TCA components are implemented at access nodes such as relay stations (RSs) and multihop relay base stations (MR-BSs) in order to achieve trusted QoS-aware handover management while guaranteeing intrusion tolerance. In particular, we provide QoS guarantees in terms of delay, bandwidth and jitter for the MMR networks while addressing group mobility through performing handover disturbance compensation for mobile RSs. Meanwhile, we tolerate particular timely-based and DoS attacks through compensating their impact on the already agreed QoS level. Simulations show that adopting compensation is suited for the MMR context although it induces additional complexity.

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Mobile Relay Stations Navigation-Based Self-Optimization Handover Mechanism in WiMAX Networks

Cited by 6 publications

References 9 publications

Radio resource management for user-relay assisted OFDMA-based wireless networks

Radio resource management for user-relay assisted OFDMA-based wireless networks

A modified YOLOv5 helmet detection algorithm based on Swin Transformer

Intrusion tolerant QoS provision in mobile multihop relay networks

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