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- Title
Self-Resource Allocation and Scheduling Challenges for Heterogeneous Networks Deployment.
- Authors
Semov, Plamen; Poulkov, Vladimir; Mihovska, Albena; Prasad, Ramjee
- Abstract
A reliable solution for meeting the high demand of throughput in areas called hotspots is the heterogeneous network. Heterogeneous networks are different depending on their coverage, their type of radio access technique and the way there are connected to the core network. This paper proposes a novel algorithm for semi-coordinated resource allocation and scheduling based on mobile positioning information, game theory and reinforcement learning technique. The capabilities of such an approach to support the practical deployment of heterogeneous networks is analyzed. Further, a reasoning strategy is proposed to justify the choice of Wi-Fi versus other small cell technologies from a practical deployment viewpoint.
- Subjects
GAME theory; REINFORCEMENT learning; WIRELESS Internet; MACHINE learning; ALGORITHMS
- Publication
Wireless Personal Communications, 2016, Vol 87, Issue 3, p759
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-015-2640-7