A message passing approach for resource allocation in cellular OFDMA communications

This paper proposes a distributed and low-complexity resource allocation scheme for cellular OFDMA networks. In particular, we consider ReMP, a reweighted message passing algorithm that perturbs the standard max-sum algorithm by suitably reweighting messages. In a single-cell scenario, such a scheme...

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Veröffentlicht in:2012 IEEE Global Communications Conference S. 4583 - 4588
Hauptverfasser: Abrardo, Andrea, Belleschi, Marco, Fodor, Gabor, Moretti, Marco
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2012
Schlagworte:
Algorithms
Cell signaling
Cells
Communication
Complex networks
Convergence
Frequency division multiple access
Intercell interference
Interference
Max-sum algorithm
Message passing
Message passing algorithm
Multi-cell environment
Multiple access interference
Power control
Re-weighting
Resource allocation
Resource allocation schemes
Resource management
Scheduling
Signal processing algorithms
Single cells
System throughput
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ISBN:1467309206, 9781467309202, 1467309214, 9781467309219
ISSN:1930-529X
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Zusammenfassung:This paper proposes a distributed and low-complexity resource allocation scheme for cellular OFDMA networks. In particular, we consider ReMP, a reweighted message passing algorithm that perturbs the standard max-sum algorithm by suitably reweighting messages. In a single-cell scenario, such a scheme allows to achieve convergence to a fixed and provably optimum point without employing any central controller. The ReMP algorithm is then adapted to a multi-cell environment. To this aim, we devise X-ReMP, a ReMP-based algorithm that combines cross-cell signaling and the regular ReMP routine that still runs within each cell. The cross-signaling among cells aids ReMP to deal with the inter-cell multiple-access interference, so that X-ReMP allows convergence to a good working point in terms of system throughput even in presence of strong inter-cell interference.
ISBN:1467309206
9781467309202
1467309214
9781467309219
ISSN:1930-529X
DOI:10.1109/GLOCOM.2012.6503841