etween multiple base stations and mobile stations in a cellular network simulation platform can be computationally cumbersome and practically impossible [25]. The abstraction must be reasonably accurate, computationally simple, relatively independent of channel models, and extensible to interference models and multi-antenna processing. The system-level simula- tions are used to characterize the average system performance, which might have been useful in providing insights for deployment of the system in terms of cell and frequency planning. For such simulations, the average performance of a system is quantified using the topology and macro-channel characteristics to calculate a geometric SINR distribution across the cell (alternatively known as geometry). Each subscriber's SINR distribution is then mapped to the highest modulation and coding scheme that could be supported, based on link-level SINR tables which included the fast-fading characteristics of the channel. The link-level SINR-PER lookup tables served as the PHY abstraction for predicting average link-level performance. The instantaneous channel conditions are now used to improve the performance of the cellular systems. Channel dependent scheduling and adaptive coding and modulation are examples of channel-adaptive schemes employed to improve system performance. Therefore, new system-level simulation methodologies do explicitly model the dynamic behavior of the system [8,11]. In system-level simulations, an encoded data/control packet may be transmitted over a time- frequency selective channel. In OFDMA-based systems, the encoded block is transmitted over several sub-carriers; the post-processing SINR values of the pre-decoded streams are thus non-uniform and the channel gains of sub-carriers can be time-varying. As a result, in the transmission of a large encoded packet, the encoded symbols with unequal SINR ratios at the input of the decoder are considered due to the time or frequency selectivity of the channel impulse or frequency response over the du