Resource allocation in multi-cell decode-and-forward relaying OFDMA cellular networks in the presence of multi-cell interference

This paper aims to formulate power and sub-channel allocation problem in a multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) half-duplex decode-and-forward (DF) relay assisted network in the presence of multi-cell interference. This formulation takes into account multi-cell co-channel...

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Bibliographic Details
Main Authors: Moghaddam, M. H., Mohamed-pour, K., Andargoli, S. M. H.
Format: Conference Proceeding
Language:English
Subjects:
Computer architecture
DF Relaying
Interference
Microprocessors
Multi-Cell Interference
Noise
Non-Convex Optimization
OFDMA
Optimization
Power Allocation
Relays
Resource management
Subchannel Allocation
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Summary:This paper aims to formulate power and sub-channel allocation problem in a multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) half-duplex decode-and-forward (DF) relay assisted network in the presence of multi-cell interference. This formulation takes into account multi-cell co-channel interference as one of the critical factors in multi-cell processing. The resulting non-convex optimization problem has been solved by dual decomposition and, an iterative resource allocation algorithm is proposed to find solutions which satisfy Karush-Kuhn-Tucker (KKT) conditions. Two resource allocation strategies based on centralized and distributed policy are derived which maximize the average system throughput (bit/sec/Hz). Simulation results show that the proposed algorithm approach the maximum achievable throughput in comparison with conventional algorithms and provides substantial performance gains compared to single-cell optimization.
DOI:10.1109/ISTT.2012.6481588