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Graph theory based beam scheduling for inter-cell interference avoidance in MmWave cellular networks

Graph theory based beam scheduling for inter-cell interference avoidance in MmWave cellular networks
Graph theory based beam scheduling for inter-cell interference avoidance in MmWave cellular networks
The application of high directional beam in millimeter wave leads to a new downlink inter-cell interference (ICI) characteristic that the ICI is high only if the beam of a neighboring cell points towards a user in local cell. This characteristic indicates that the ICI can be avoided if the beams in the network are scheduled coordinately. In this paper, we investigate the time-domain beam scheduling problem for downlink ICI avoidance by modeling the entire network as a graph, where the number of time slots occupied by each beam is considered as a constraint to guarantee service quality. The beams in each cell are classified according to the neighboring cells they may interfere with. If two adjacent cells simultaneously use the beam which may interfere with each other, beam collision occurs, leading to strong ICI. Based on graph theory, we propose
a least beam collision (LBC) algorithm to minimize the number of beam collisions, and we prove that this LBC algorithm is capable of acquiring the global minimum beam collision solution. Our simulation results verify that the strong ICI between two neighboring cells can be efficiently eliminated, which benefits the transmission reliability and the network’s sum rate.
Millimeter wave, beam collision, beam scheduling, beamforming, graph theory, inter-cell interference
0018-9545
3929-3942
Sha, Ziyuan
5f4ce229-0c1e-44c0-b0e1-22a2c0b68cc7
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Sha, Ziyuan
5f4ce229-0c1e-44c0-b0e1-22a2c0b68cc7
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Sha, Ziyuan, Wang, Zhaocheng, Chen, Sheng and Hanzo, Lajos (2020) Graph theory based beam scheduling for inter-cell interference avoidance in MmWave cellular networks. IEEE Transactions on Vehicular Technology, 69 (4), 3929-3942, [8978709]. (doi:10.1109/TVT.2020.2970989).

Record type: Article

Abstract

The application of high directional beam in millimeter wave leads to a new downlink inter-cell interference (ICI) characteristic that the ICI is high only if the beam of a neighboring cell points towards a user in local cell. This characteristic indicates that the ICI can be avoided if the beams in the network are scheduled coordinately. In this paper, we investigate the time-domain beam scheduling problem for downlink ICI avoidance by modeling the entire network as a graph, where the number of time slots occupied by each beam is considered as a constraint to guarantee service quality. The beams in each cell are classified according to the neighboring cells they may interfere with. If two adjacent cells simultaneously use the beam which may interfere with each other, beam collision occurs, leading to strong ICI. Based on graph theory, we propose
a least beam collision (LBC) algorithm to minimize the number of beam collisions, and we prove that this LBC algorithm is capable of acquiring the global minimum beam collision solution. Our simulation results verify that the strong ICI between two neighboring cells can be efficiently eliminated, which benefits the transmission reliability and the network’s sum rate.

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Accepted/In Press date: 29 January 2020
e-pub ahead of print date: 3 February 2020
Published date: 16 April 2020
Keywords: Millimeter wave, beam collision, beam scheduling, beamforming, graph theory, inter-cell interference

Identifiers

Local EPrints ID: 437642
URI: http://eprints.soton.ac.uk/id/eprint/437642
ISSN: 0018-9545
PURE UUID: 30d8d4af-1891-4f5e-8517-3ffdb04c772c
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 07 Feb 2020 17:32
Last modified: 18 Mar 2024 02:36

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Contributors

Author: Ziyuan Sha
Author: Zhaocheng Wang
Author: Sheng Chen
Author: Lajos Hanzo ORCID iD

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