AG Kommunikationstheorie


Thema:

Performance Prediction of Interference-limited OFDMA Cells

Abstract:

This talk addresses the issue of performance prediction in cellular deployments of IEEE 802.16e. More specifically, we derive a framework which allows to quantize the number of VoIP calls that can be supported in the downlink of such systems purely based on the average SINR per terminal. The major difficulty to overcome in this respect is to predict the impact of dynamic resource allocations on the system performance in the presence of interference. We show that dynamic resource allocations perform a transformation of subcarrier SINR PDFs and derive an approximate, closed-form representation of these SINR PDFs. Based on these, we then derive rate PMFs which predict optimal system performance accurately up to a gap of 20%. Furthermore, the framework allows the detailed investigation of dynamic resource allocation in interference-limited scenarios. We show that the average SINR is not a valid metric to predict system performance from, but instead the received power of the signal of interest is much more important (together with the received interference power). To the best of our knowledge, such performance models are novel while the presented insights have significant consequences for network design and network self-optimization.



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