Throughput Analysis of Proportional Fair Scheduling For Sparse and Ultra-Dense Interference-Limited OFDMA/LTE Networks
Abstract
Various system tasks like interference coordination, handover decisions, admission control etc. in current cellular networks require precise mid-term (spanning over a few seconds) performance models. Due to channel-dependent scheduling at the base station, these performance models are not simple to obtain. Furthermore, LTE cellular systems are interference-limited, hence, the way interference is modelled is crucial for the accuracy. In this paper we present a closed-form analytical performance model for proportional fair scheduling in OFDMA/LTE networks. The model takes into account a precise SINR distribution into account. We refine our model with respect to uniform modulation and coding, as applied in LTE networks. Furthermore, the analytical analysis is extended also for ultra-dense deployments likely to happen in the 5-th generation of cellular networks. The resulting analytical performance model is validated by means of simulations considering realistic network deployments. Compared with related work, our model demonstrates a significantly higher accuracy for long-term throughput estimation.
Keywords
Cite
@article{arxiv.1510.06530,
title = {Throughput Analysis of Proportional Fair Scheduling For Sparse and Ultra-Dense Interference-Limited OFDMA/LTE Networks},
author = {Donald Parruca and James Gross},
journal= {arXiv preprint arXiv:1510.06530},
year = {2016}
}
Comments
This paper has been withdrawn by the author due to a crucial sign error in equations (45)-(49)