Abstract
AbstractThe advent of the Internet of Things and 5G has further accelerated the growth in devices attempting to gain access to the wireless spectrum. A consequence of this has been the commensurate growth in spectrum conflict and congestion across the wireless spectrum, which has begun to impose a significant impost upon innovation in both the public and private sectors. One potential avenue for resolving these issues, and improving the efficiency of spectrum utilisation can be found in devices making intelligent decisions about their access to spectrum through Dynamic Spectrum Allocation. Changing to a system of Dynamic Spectrum Allocation would require the development of complex and sophisticated inference frameworks, that would be able to be deployed at a scale able to support significant numbers of devices. The development and deployment of these systems cannot exist in isolation, but rather would require the development of tools that can simulate, measure, and predict Spectral Occupancy. To support the development such tools, this work reviews not just the available prediction frameworks for networked systems with sparse sensing over large scale geospatial environments, but also holistically considers the myriad of technological approaches required to support Dynamic Spectrum Allocation.
Funder
Defence Cooperative Research Centre for Trusted Autonomous Systems
University of Melbourne
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Reference230 articles.
1. Abo-Zahhad M, Sabor N, Sasaki S et al (2016) A centralized immune-Voronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks. Inf Fusion 30:36–51
2. Abu-El-Haija S, Kapoor A, Perozzi B, et al (2018) N-GCN: multi-scale graph convolution for semi-supervised node classification. arXiv preprint arXiv:1802.08888
3. Agarwal A, Dubey S, Khan MA, et al (2016) Learning based primary user activity prediction in cognitive radio networks for efficient dynamic spectrum access. In: 2016 international conference on signal processing and communications (SPCOM), IEEE, pp 1–5
4. Ahmed N, Kanhere SS, Jha S (2005) The holes problem in wireless sensor networks: a survey. ACM SIGMOBILE Mob Comput Commun Rev 9(2):4–18
5. Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. Ad Hoc Netw 3(3):325–349
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dynamic Spectrum Allocation for Bursty Traffic Using Quantum Annealing;2023 International Conference on Platform Technology and Service (PlatCon);2023-08-16