A novel dynamic cell configuration scheme in next-generation situation-aware CDMA networks

TitleA novel dynamic cell configuration scheme in next-generation situation-aware CDMA networks
Publication TypeJournal Article
Year of Publication2006
AuthorsLiao, C. - Y., F. Yu, V. C. M. Leung, and C. - J. Chang
JournalSelected Areas in Communications, IEEE Journal on
Pagination16 - 25
Date Publishedjan.
Keywordscall admission control mechanism, cellular radio, channel allocation, code division multiple access, code division multiple access network, diverse application, dynamic cell configuration, learning (artificial intelligence), Markov process, Markov processes, mobility management (mobile radio), multimedia cellular network, next-generation situation-aware CDMA, pilot power allocation, radio resource management, radio spectrum management, reinforcement-learning, resource allocation, telecommunication congestion control, telecommunication traffic, time-varying channels, time-varying traffic, user mobility

To balance the time-varying traffic load between cells, caused by user mobility and diverse applications, it is crucial for next-generation code-division multiple-access (CDMA) cellular networks to configure cell coverage and capacity dynamically. In this paper, we show that pilot power allocation is highly coupled to other facets of radio resource management. We propose a novel dynamic cell configuration scheme for multimedia CDMA cellular networks, based on reinforcement-learning, which takes into account pilot, soft handoff, and maximum link power allocations, as well as call admission control mechanisms. Simulation results demonstrate the effectiveness of the proposed scheme in situation-aware CDMA networks.


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