E100.B_2016FGI0002.pdf (1.34 MB)
Self-organized beam scheduling as an enabler for coexistence in 5G unlicensed bands
journal contribution
posted on 2023-06-09, 07:36 authored by Maziar NekoveeMaziar Nekovee, Yinan Qi, Yue WangIn order to support user data-rates of Gbps and above in the ?fth generation(5G)communication systems, millimetre-wave(mm-wave) communication is proposed as one of the most important enabling technologies. In this paper, we consider the spectrum bands shared by 5G cellular base stations (BS) and some existing networks, such as WiGig and proposed a method for spectrally e?cient coexistence of multiple interfering BSs through adaptive self-organized beam scheduling. These BSs might use multiple radio access technologies belonging to multiple operators and are deployed in the unlicensed bands, such as 60GHz. Di?erent from the recently emerging coexistence scenarios in the unlicensed 5GHz band,where the proposed methods are based on omni-directional transmission, beamforming needs to be employed in mm-wave bands to combat the high path loss problem. The proposed method is concerned with this new scenario of communication in the unlicensed bands where(a)beam-forming is mandatory to combat severe path loss, (b) without optimal scheduling of beams mutual interference could be severe due to the possibility of beam-collisions, (c)unlike LTE which uses time-frequency resource blocks, a new resource, i.e., the beam direction, is used as mandatory feature. We propose in this paper a novel multi-RAT coexistence mechanism where neighbouring 5G BSs, each serving their own associated users, schedule their beam con?gurations in a self-organized manner such that their own utility function, e.g. spectral e?ciency, is maximized. The problem is formulated as a combinatorial optimization problem and it is shown via simulations that our proposed distributed algorithms yield a comparable spectral e?ciency for the entire networks as that using an exhaustive search, which requires global coordination among coexisting RATs and also has a much higher algorithmic complexity.
History
Publication status
- Published
File Version
- Published version
Journal
IEICE Transactions on CommunicationsISSN
0916-8516Publisher
Institute of Electronics, Information and Communication EngineersExternal DOI
Issue
8Volume
100-BPage range
1181-1189Department affiliated with
- Engineering and Design Publications
Notes
Invited PaperFull text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-08-14First Open Access (FOA) Date
2017-08-14First Compliant Deposit (FCD) Date
2017-08-11Usage metrics
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