Paper Info
Title
Performance analysis of a reuse partitioning technique for multi-channel cellular systems supporting elastic services
Abstract
For multi-cell systems employing intra-cell orthogonal communication channels, inter-cell interference mitigation techniques are expected to be one of the key radio resource management functions. In this paper we propose and analyze a simple reuse partitioning technique (with random and coordinated resource block allocation in neighbor cells) that is able to reduce inter-cell interference. We propose a model that is able to take into account that sessions dynamically enter and leave the system. Rigid sessions require a class-specific fixed number of resource blocks, while elastic sessions can enter the system if a minimum number of resources are allocated to them. In this rather general setting (and using the example of a system employing frequency division for multiple access) we analyze the system performance in terms of the expected number of channel collisions, the session-blocking probabilities, the signal-to-interference-and-noise ratio (SINR) and packet error rate performance. We present numerical results on the various trade-offs between these measures (including the trade-off between the reuse factor and the SINR performance) that provide insight into the behavior of multi-channel cellular systems and help dimensionalize the parameters of a reuse partitioned system. Copyright © 2008 John Wiley & Sons, Ltd. An early version of this paper was presented at the 14th IEEE International Workshop on Quality of Service, IWQoS 2006, New Haven, CT, U.S.A., June 19–21, 2006 [1].
Year
DOI
Venue
2009
10.1002/dac.v22:3
International Journal of Communication Systems
Keywords
Field
DocType
radio resource management,markov chains
Radio resource management,Frequency divider,Computer science,Reuse,Markov chain,Communication channel,Computer network,Quality of service,Interference (wave propagation),Bit error rate
Journal
Volume
Issue
ISSN
22
3
1099-1131
Citations 
PageRank 
References 
5
0.67
16
Authors
2
Name
Order
Citations
PageRank
Gábor Fodor199099.05
Per Skillermark267938.89