A Survey of 5G Network: Architecture and Emerging Technologies

By Akhil Gupta, Rakesh Kumar Jha. IEEE Access, 2015

2,157 citations recorded by the source corpus.

In the near future, i.e., beyond 4G, some of the prime objectives or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of service. To meet these demands, drastic improvements need to be made in cellular network architecture. This paper presents the results of a detailed survey on the fifth generation (5G) cellular network architecture and some of the key emerging technologies that are helpful in improving the architecture and meeting the demands of users. In this detailed survey, the prime focus is on the 5G cellular network architecture, massive multiple input multiple output technology, and device-to-device communication (D2D). Along with this, some of the emerging technologies that are addressed in this paper include interference management, spectrum sharing with cognitive radio, ultra-dense networks, multi-radio access technology association, full duplex radios, millimeter wave solutions for 5G cellular networks, and cloud technologies for 5G radio access networks and software defined networks. In this paper, a general probable 5G cellular network architecture is proposed, which shows that D2D, small cell access points, network cloud, and the Internet of Things can be a part of 5G cellular network architecture. A detailed survey is included regarding current research projects being conducted in different countries by research groups and institutions that are working on 5G technologies.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/26e309cad2af82adb3606d776a4e606966d2fde7

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Citations in the corpus

5G-Enabled Tactile Internet (2016, methodology): “In a nutshell, 5G wireless access will consist of an evolution of LTE complemented with new radio technologies and architecture designs [10].”
A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives (2018, neutral): “Reference [58] describes 5G wireless network architectures”
Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “5G systems are envisioned for very high base station and device densities [140]–[142].”
A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions (2020, background): “As a result several surveys were already published on 5G networks [1], [16]–[20].”
Security for 5G and Beyond (2019, background): “There are a number of survey articles that thoroughly discuss 5G networks such as [1], [12]–[14].”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “They overview comprehensively existing efforts that incorporate deep learning into the IoT domain and shed light on current research challenges and future directions.”
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019, background): “However, the interference encountered in UDNs tends to be more severe and of higher volatility than that in traditional cellular networks because of the dense deployment of BSs and APs.”
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey (2020, background): “1) CRAN: A typical CRAN consists of a central unit and multiple distributed antenna units, which are called remote radio units (RRUs) [93].”
A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, background): “identified as a key technology in the architecture for 5G cellular networks [5], [125], [126].”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, background): “following [17], [18], [21], [32]: • Need for simple, linear and real-time techniques and hardware for optimized processing of the vast amounts of generated baseband data, at associated internal power consumption.”
Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios (2020, methodology): “This enables the multiple accesses to the devices hence increases the capacity manifold [53] with reduced interference.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “eneration (3G) in 1998, fourth generation (4G) in 2008, to hopefully ﬁfth generation 5G in 2020. Fundamental services and applications supported in these network generations are summarized as follows [1]. Back to early 1980s, 1G was introduced as the ﬁrst commercial cellular network, where voice ser”
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019, background): “Previous works have separately characterized ML, QC, QML, and communication networks, see e.g., [1], [28], [29], [39]–[43], and [2], [3], [22], respectively.”
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions (2017, methodology): “Fifth generation (5G) cellular network is the wireless access solution to fulﬁll the wireless broadband communication speciﬁcations of 2020 and beyond [3], [4].”
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].”