Design considerations for a 5G network architecture

By Patrick Agyapong, M. Iwamura, D. Staehle, Wolfgang Kiess, Anass Benjebbour. IEEE Communications Magazine, 2014

584 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cf8205dddcf91b86814a18e6859b4d894f6b482c

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Citations in the corpus

Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions (2019, background): “The intent of these requirements is to ensure that IMT-2020 guarantees more flexibility, security, and reliability than previous technologies, providing a variety of services and deployment scenarios for a wide range of environments [115], [116].”
A survey on 5G: The next generation of mobile communication (2015, background): “Thus, it is mandatory to have matching data transfer capabilities in terms of new architectures, methods, technologies, and data distribution of indoor and outdoor users [61, 15, 60].”
Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023, methodology): “This network [217,218], based on the wireless software-defined networking (WSDN) paradigm, offers a flexible and rapid network infrastructure to facilitate the deployment of IoT-based smart city networks [219].”
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, background): “For example, in LTE, the number of OFDM symbols in one TTI can be reduced from 7 to 2 or 3 OFDM symbol to reduce the latency [273].”
Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios (2020, background): “The 5G cellular network architecture is explained in detail in [67], [91], [92].”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “Apart from the enormous number of connections, 5G networks also have to support diverse nature of devices and their associated service requirements [121].”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “AR and VR applications require very fast request-response cycles [134], which will drive the design of 5G network architectures.”
A Survey of 5G Network: Architecture and Emerging Technologies (2015, background): “5G challenge, facilitators, and design fundamental [20].”
User Association in 5G Networks: A Survey and an Outlook (2015, methodology): “To achieve these KPIs, the primary technologies and approaches identified by Hossainet al. [16] for 5G networks are dense heterogeneous networks (HetNets), device-to-device (D2D) communication, full-duplex communication, massive multiple-input multiple-output (MIMO)as well as mmWave communication te”
Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, methodology): “nction optimization Provision of New Service Values: x Intelligent data analytics x QoS, QoE x Big data and context awareness x Security and privacy 5G Network Designs Fig. 5: The 5G design principle [46]. and applications. On the other side, 5G considered in this paper refers to the latest generati”
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems (2020, unknown): “3 [4], [33], [58], [62], [71], [83], [86], [99], [117].”
Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models (2017, unknown): “…will also require novel network architectures that support the convergence of different wireless technologies (e.g., WiFi, LTE, mmWave, and low-power IoT) that will interact in a ﬂexible and seamless manner using Software Deﬁned Networking and Network Virtualization principles [55], [56].”
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data (2019, background): “On the way to AI-enhanced fully automated network management, one of the essential problems lies in the accurate traffic prediction [11] because many tasks in wireless communications require real-time or non-real time traffic analysis and prediction capabilities.”
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions (2017, methodology): “In the literature, surveys on 5G network including architecture [3], [4], SDN/NFV/MEC based core network [9], [10], 2: A candidate architecture for 5G cellular network [8]. caching [11], [12], backhaul [13], resource management [14] and data centric network [15], [16] are available.”
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, background): “mputer Networks 167 (2020) 106984 Table 8 A qualitative comparison of orchestrators and deployment options [201] . Reference Network Slicing Evaluation Methodology Deployment Strategy Main Objectives [194] —Prototype and simulation Control and data plane Optimal use of network resources. [157] Proto”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “The proliferation of the IoT [1] and 5G network architecture [2] is boosting the arrival of new service models and essential applications, such as intelligent transportation, smart city, augmented reality, location services and etc.”
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “Offloading is one of the combination of technologies that address these challenges in the RAN in addition to more spectrum, network densification and higher spectrum efficiency [54].”