Improved Handover Through Dual Connectivity in 5G mmWave Mobile Networks
By Michele Polese, Marco Giordani, Marco Mezzavilla, Sundeep Rangan, Michele Zorzi. IEEE Journal on Selected Areas in Communications, 2016
311 citations recorded by the source corpus.
The millimeter wave (mmWave) bands offer the possibility of orders of magnitude greater throughput for fifth-generation (5G) cellular systems. However, since mmWave signals are highly susceptible to blockage, channel quality on any one mmWave link can be extremely intermittent. This paper implements a novel dual connectivity protocol that enables mobile user equipment devices to maintain physical layer connections to 4G and 5G cells simultaneously. A novel uplink control signaling system combined with a local coordinator enables rapid path switching in the event of failures on any one link. This paper provides the first comprehensive end-to-end evaluation of handover mechanisms in mmWave cellular systems. The simulation framework includes detailed measurement-based channel models to realistically capture spatial dynamics of blocking events, as well as the full details of Medium Access Control, Radio Link Control, and transport protocols. Compared with conventional handover mechanisms, this paper reveals significant benefits of the proposed method under several metrics.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/cd30514a7f38d57a134edc9d88846d5661ffbf41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Linglong Dai
- Ahmed Alkhateeb
- Muhammad Alrabeiah
- Emil Björnson
- Michail Matthaiou
- Michele Polese
- Michele Zorzi
- Shahid Mumtaz
Citations in the corpus
- End-to-End Simulation of 5G mmWave Networks (2017, background): “Dual-connectivity , where mobiles are continuously connected to both the 5G and the legacy 4G network, may therefore be essential to recover from an abrupt failure of the primary 5G link [15], [30].”
- Millimeter Wave Communications for Future Mobile Networks (2017, background): “Since random access cannot fully benefit from beamforming due to the lack of information on the best transmit-receive beam pair, the design of the random access channel becomes more challenging in mmWave communication systems [211]– [213].”
- A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, methodology): “With the flexibility introduced in 5G to deploy the control plane functions closer to the gNB, the use of a local coordinator is possible to perform path switching tasks [214].”
- Millimeter Wave Communication: A Comprehensive Survey (2018, background): “For instance, corresponding solutions in [138]–[141] are mainly about the multi-connectivity framework design in mmWave cellular networks, so as to be free of interruptions of handover or link failures.”
- A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies (2018, methodology): “, 4G and 5G overlays) to different cells so that drops in one link can be overcome by switching data paths [17], [39]–[42], [72].”
- Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels (2019, methodology): “While the work in [8], [11]–[14] is relevant, it does not target predicting the mmWave beams or blockages using sub-6 GHz channels, which is the goal of this paper.”