Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game

Chao, Cheng-Chih; Lee, Chia-Han; Wei, Hung‐Yu; Wang, Chih-Yu; Chen, Wen-Tsuen

doi:10.1109/pimrc.2015.7343473

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…Network traffic management can help network managers achieve intelligent control of network traffic, classification and anomaly detection. The work in [8] proposes an evolutionary gamebased distributed approach to optimal configuration selection for upLink-downLink (UL-DL), which minimize interference and maximize system throughput. The authors of [9] designed an intelligent control algorithm for network traffic.…”

Section: Related Work a Network Traffic Managementmentioning

confidence: 99%

A Human-in-the-Loop Anomaly Detection Architecture for Big Traffic Data of Cellular Network

Liu,

Xia,

Wang

2024

IEEE Access

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Monitoring network traffic to identify malicious applications is an active research topic in network security. In the era of mobile big data, smart mobile devices have become an integral part of our daily life, which brings many benefits to the digital society. However, the popularity and relatively lax security make them vulnerable to various cyber threats. Traditional network traffic analysis techniques utilizing pattern matching and regular expressions matching algorithms is becoming insufficient for mobile big data. Network traffic anomaly detection is an effective method to replace traditional methods. Meanwhile, network traffic mirroring is the foundation of digital twin for Mobile Network(DTMN). With the ongoing development of 6G and space Internet in the future, mobile networks will become more and more dense and require more rapid response. Network traffic anomaly detection can solve many new challenges brought by future networks and protect the security of DTMN. In this article, we propose a streaming network framework for mobile big data, referred to as SNMDF, which provides massive data traffic collection, processing, analysis and updating functions, to cope with the tremendous amount of data traffic. In particular, by analyzing the specific characteristic of anomaly traffic data from flow and user behavior, our proposed SNMDF demonstrates its capability to offer real data-based advice to address new challenges for future wireless networks from the viewpoints of operators. Tested by real mobile big data, SNMDF has proven its efficiency and reliability. Furthermore, SNMDF is accessed for the digital twin of the space Internet, which validates that it can be generalized to other environments with massive data traffic or big data.

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Section: Related Work a Network Traffic Managementmentioning

confidence: 99%

A Human-in-the-Loop Anomaly Detection Architecture for Big Traffic Data of Cellular Network

Liu,

Xia,

Wang

2024

IEEE Access

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“…Commonly used clustering methods include threshold method [16][17][18] and heuristic algorithm [19]. Without losing generality, we use a threshold method that based on link coupling loss [17].…”

Section: System Modelmentioning

confidence: 99%

Service- and interference-aware dynamic TDD design in 5G ultra-dense network scenario

Gao¹,

Binyong²,

Chuai³

2017

J Wireless Com Network

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The 5G wireless communication system supports varied applications, making the uplink/downlink traffic asymmetry more and more serious. Dynamic time division duplex (TDD) technique has become a key technology of 5G networks due to its flexibility to support asymmetric services. In this paper, we study dynamic TDD sub-frame reconfiguration algorithm based on shifting. Firstly, we define cell shifting priority considering both traffic and interference. Then, we perform cell shifting-based TDD sub-frame reconfiguration following cell shifting priority. Simulation results show that the proposed dynamic TDD algorithm can guarantee high data rate and low interference, thus effectively increases the network throughput.

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Dynamic TDD DL/UL reconfiguration based on shift

Binyong

Chuai

2016

2016 2nd IEEE International Conference on Computer and Communications (ICCC)

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Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game

Cited by 7 publications

References 10 publications

A Human-in-the-Loop Anomaly Detection Architecture for Big Traffic Data of Cellular Network

A Human-in-the-Loop Anomaly Detection Architecture for Big Traffic Data of Cellular Network

Service- and interference-aware dynamic TDD design in 5G ultra-dense network scenario

Dynamic TDD DL/UL reconfiguration based on shift

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