5G Network Capacity: Key Elements and Technologies
By Qian Li, Huaning Niu, A. Papathanassiou, Geng Wu. IEEE Vehicular Technology Magazine, 2014
590 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e14e1e46a73d1f8c140e990af7135c178cf7eb47
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In Computer Networks and Communications
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In Electrical and Electronic Engineering
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Citations in the corpus
- 5G cellular: key enabling technologies and research challenges (2015, methodology): “The growth of wireless traffic requires additional spectrums (e.g., higher frequencies in the mm-wave) and the enabling technologies such as large-scale MIMO and densification of network nodes impose new requirements for channel measurement/modelling in the spatial domain.”
- Challenges in 5G: how to empower SON with big data for enabling 5G (2014, background): “For a detailed rationale behind these projected capacity growth dimensions, the reader is referred to [2] [3] [4] [5] [6] [7] [8].”
- Residual Transceiver Hardware Impairments on Cooperative NOMA Networks (2020, background): “W ITH unprecedented application of smart devices, wireless communications operators are facing a great challenge due to the exponentially increasing data service [2].”
- Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions (2016, background): “INTRODUCTION MULTIPLE access (MA) in fifth-generation (5G) mobile networks is an emerging research topic since it is key for next-generation networks to keep pace with the explosive growth of mobile data and multimedia traffic [1], [2].”
- Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial (2017, background): “generations of cellular networks that operate exclusively on the sub-6 GHz (microwave) licensed band, Multi-RAT based networks are expected to transmit over the conventional sub-6 GHz band, the unlicensed spectrum and the 60 GHz mmWave frequency band [151], [152].”
- The Road Towards 6G: A Comprehensive Survey (2021, background): “CoMP is expected to play an important role in 5G [125].”
- A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, background): “networks that can deliver the expected capacity compared to existing network deployment [2].”
- Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks (2017, background): “Unlike early generations of cellular networks that operate exclusively on the sub-6 GHz (microwave) licensed band, 5G networks are expected to transmit over the conventional sub-6 GHz band, unlicensed spectrum and the 60 GHz mmWave frequency band [202]–[204].”
- Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, background): “This HetNet topology has the potential to deliver on all fronts: it increases network capacity based on increased cell density and high spatial and frequency reuse; enhances spectral efficiency based on improved average signal to interference and noise ratio (SINR) with tighter interference control;”
- Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Systems: Tractability and Computation (2016, background): “The rate of each user in NOMA is determined by the user’s SINR after SIC.”
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, background): “Recent studies find that data traffic is expected to experience a 1000-fold capacity increase in the coming decade [2], [3] and the microwave band (300 MHz to 3 GHz) where various radio access technologies (RATs) operate cannot provide this capacity demand [4]–[7].”
- On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users (2014, background): “I NTRODUCTION 4G mobile networks, such as long term evolution (LTE), are being deployed worldwide, and research to define the next gen eration mobile network is now receiving considerable atten tion [1].”