Maximizing Multicell Capacity Using Distributed Power Allocation and Scheduling

Joint optimization of transmit power and scheduling in wireless data networks promises significant system-wide capacity gains. However, this problem is known to be NP-hard and thus difficult to tackle in practice. We analyze this problem for the downlink of a multicell full reuse network with the go...

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Bibliographic Details
Main Authors: Kiani, S.G., Oien, G.E., Gesbert, D.
Format: Conference Proceeding
Language:English
Subjects:
Channel state information
Communications Society
Downlink
Dynamic scheduling
Interference
Mobile communication
Scheduling algorithm
Switches
Telecommunications
WiMAX
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Summary:Joint optimization of transmit power and scheduling in wireless data networks promises significant system-wide capacity gains. However, this problem is known to be NP-hard and thus difficult to tackle in practice. We analyze this problem for the downlink of a multicell full reuse network with the goal of maximizing the overall network capacity. We propose a distributed power allocation and scheduling algorithm which provides significant capacity gain for any finite number of users. This distributed cell coordination scheme, in effect, achieves a form of dynamic spectral reuse, whereby the amount of reuse varies as a function of the underlying channel conditions and only limited inter-cell signaling is required.
ISSN:1525-3511
1558-2612
DOI:10.1109/WCNC.2007.318