Title
Efficient Beam Selection And Resource Allocation Scheme For Wifi And 5g Coexistence At Unlicensed Millimetre-Wave Bands
Abstract
To alleviate the spectrum scarcity, the unlicensed 60 GHz band has raised increasing concerns due to its continuous large bandwidth. Considering IEEE 802.11ad/ay has already been deployed in this millimetre-wave band, the coexistence issues with new radio-based access to unlicensed spectrum should be weighed when deploying fifth generation (5G) network. Fortunately, the directional transmission on beams is able to reduce interference significantly, so beam selection can be combined with power control. To maximise spectrum efficiency (SE) of the 5G network while ensuring a friendly coexistence, the authors formulate an optimisation problem by jointly considering beam selection and resource allocation. More specifically, they design a spectrum planning mechanism to reduce the interference between 5G and WiFi, and then a block coordinate descent method is used to determine the user association, beam selection and power control for 5G users, while limiting the interferences to WiFi devices. Simulation results verify the effectiveness of the proposed algorithm in terms of complexity, convergence and SE.
Year
DOI
Venue
2020
10.1049/iet-com.2019.0746
IET COMMUNICATIONS
Keywords
DocType
Volume
wireless LAN, optimisation, power control, resource allocation, radiofrequency interference, 5G mobile communication, millimetre wave communication, telecommunication control, telecommunication network planning, efficient beam selection, resource allocation scheme, WiFi devices, unlicensed millimetre-wave bands, spectrum scarcity, continuous large bandwidth, radio-based access, unlicensed spectrum, fifth generation network, 5G network, power control, spectrum efficiency, spectrum planning mechanism, IEEE 802, 11ad, ay, directional transmission, interference reduction, optimisation problem, beam selection, resource allocation, block coordinate descent method, user association, frequency 60, 0 GHz
Journal
14
Issue
ISSN
Citations 
17
1751-8628
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Pengru Li100.34
Danpu Liu25618.35