PHY Abstraction for MIMO Based OFDM Systems

Abstract

Now a days Computer simulations are often used to predict the performance of cellular networks. Link level simulations are used to model the link between the base and mobile stations, while system level simulators model the entire network. In order to predict the accurate performance of cellular network, a system level simulator, which includes the performance of the link between each base and mobile station, should be used, but this is computationally prohibitive. So to reduce the complexity caused by the system level simulator, “The Abstraction from the link level simulations” can be used. Thus, the objective of PHY abstraction is to accurately predict the link layer performance in a computationally easy way. The well known approach for link abstraction is the Effective Exponential SINR metric but the main disadvantage of this method is that it needs to compute a normalization parameter say β for various modulation and coding schemes and also it is difficult to extend this for Maximum likelihood detection (MLD). In this paper we propose a Link quality model, Received Bit Information Rate (RBIR) is used in system evaluations to simplify the simulation complexity, where the performance metric for PHY abstraction is to predict the Block error rate (BLER) under various channel realization across the OFDM sub carriers. In order to predict the BLER a post-processing SINR values are considered as an inputs to the PHY abstraction. From the simulation results it shows that this abstraction is computationally easy, accurate, simple, and independent to channel models, extensible to interference models and multi antenna processing. These simulations are very close to the actual simulations.