Open AccessJournal Article
Channel Segregation, a Distributed Adaptive Channel Allocation Scheme for Mobile Communication Systems
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This article is published in IEICE Transactions on Communications.The article was published on 1991-06-25 and is currently open access. It has received 167 citations till now. The article focuses on the topics: Relay channel & Control channel.read more
Citations
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Journal ArticleDOI
Downlink Radio Resource Allocation for Multi-Cell OFDMA System
TL;DR: The results indicate that with reasonable signaling overhead, the RRC protocol and the associated algorithms yield excellent performance for both real-time and non real- time services, even under fast fading.
Proceedings ArticleDOI
A Dynamic Channel Assignment Scheme for Distributed Antenna Networks
TL;DR: Computer simulation results demonstrate that the DAN using proposed DCA achieves higher spectrum efficiency than the conventional CN.
Journal ArticleDOI
Teletraffic aspects of evolving and next-generation wireless communication networks
TL;DR: The author addresses some issues relevant to heterogeneous systems and briefly discuss typical approaches when possible, and simple models for homogeneous systems, to serve as approximate solutions, are presented.
Patent
Segregation method of dynamic channel allocation in a mobile radio system
TL;DR: In this article, a method for adaptively allocating channels for connections between base station and mobiles is disclosed, where channels accessible to the base stations for establishing connections with mobiles are ranked in at least one priority list based on transmission loss intervals.
Journal ArticleDOI
A Q-learning-based dynamic channel assignment technique for mobile communication systems
Junhong Nie,Simon Haykin +1 more
TL;DR: This paper proposes an alternative approach to solving the dynamic channel assignment (DCA) problem through a form of real-time reinforcement learning known as Q learning, which is able to perform better than the FCA in various situations and is capable of achieving a similar performance to that achieved by MAXAVAIL, but with a significantly reduced computational complexity.
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