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Dynamic Control and Resource Allocation in Wireless-Infrastructured Distributed Cellular Networks with OFDMA
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
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2009 (English)In: 2009 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS (ICPPW 2009) / [ed] Barolli L, Feng WC, 2009, 337-343 p.Conference paper (Refereed)
Abstract [en]

In this paper, we consider joint optimization of end-to-end data transmission and resource allocation for Wireless-Infrastructured Distributed Cellular Networks (WIDCNs), where each base station (BS) in a cell is connected with its neighboring BSs via wireless links, and a mobile station (MS) can access one or multiple adjacent BSs simultaneously through time-varying OFDMA channels. The communications between a source MS and a destination MS are carried out with the help of BSs in the multi-hop, distributed manner. To achieve the joint optimization for such WIDCNs, a Stochastic Network Utility Maximization (SNUM) problem is formulated under the constraints of OFDMA sub-channel allocation on time-varying access links (both uplink and downlink), as well as routing and scheduling on forwarding links among BSs. By decomposing the corresponding dual problem, transforming it into a stochastic convex optimization problem and solving it by quasi-gradient method, we obtain distributed dynamic control algorithms for end-to-end data transmission. The algorithm can adapt to the OFMDA channel variation and converges asymptotically to the optimal solution. We also develop a distributed algorithm for OFDMA sub-channel allocation and link coordination between BSs. The simulation results show that the data rates of the flows can converge to optimal solution approximately, queues of the network is stable under the proposed distributed dynamic algorithm, and the multi-receiver scheme outperforms the single-receiver scheme due to diversity.

Place, publisher, year, edition, pages
2009. 337-343 p.
Keyword [en]
Wireless-Infrastructure Distributed Cellular Networks, stochastic optimization, distributed dynamic control
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-153654ISI: 000289915300047ISBN: 978-1-4244-4923-1OAI: oai:DiVA.org:uu-153654DiVA: diva2:417379
38th International Conference on Parallel Processing Vienna, AUSTRIA, SEP 22-25, 2009
Available from: 2011-05-17 Created: 2011-05-17 Last updated: 2016-04-14Bibliographically approved

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