3 the strongest interference is generated by two closest interfering BSs irrespective of the mobile receiver location. However, the number of significantly contributin g interferers in the uplink cannot be quantified at a given instant due to the highly varying locations of the interfering mobile transmitters; (ii) Conditioned on the location of the desired mobile receiver within a cell, the exact distance of the interfering BSs can be calculated in the typical grid-based downlink network models. However, knowing the location of the BS receiver in the uplink does not help in determining the exact location of the interfering mobile users; (iii) In the uplink, cell edge and cell center mobile users are subject to the same amount of interference on a given subcarrier, which is the interference received at the BS. Whereas the same is not true for the downlink in which cell edge users experience higher interference coming from the nearby BSs [6], [7]. From the system design perspective and performance analysis, both uplink and downlink are equally important for the network designers. However, based on the above arguments, the nature of the uplink ICI on a given subcarrier is different from the downlink ICI due to the inherit differences in the nature of the interferers. Therefore, uplink and downlink require different modeling approaches to statistically capture their interference dynamics. In this context, the proposed analytical approach to model uplink ICI on a given subcarrier is novel as it captures the impact of various state-of-the-art scheduling schemes and is generalized for different composite fading models. The approach provides the MGF of the ICI which can be utilized to calibrate various system performance metrics. Some worth mentioning research works for the uplink appear in [6], [8]–[10]. In [6], the authors developed an analytical model for subcarrier collisions as a function of the cell load and frequency reuse pattern. They derived an expression for the SINR in the uplink and downlink, ignoring the effect of shadowing and fading. In [8], the authors developed an analytical expression for the subcarrier collision probability considering non-coordinated schedulers. In [9], the authors modeled uplink ICI in an OFDMA network as a function of the reuse partitioning radius and traffic load assuming arbitrary scheduling. In [10], the authors presented a semi-analytical method to approximate the distribution of the uplink ICI through numerical simulations without considering the impact of scheduling schemes. In this paper, we propose a novel theoretical framework to derive the statistics of the uplink and downlink ICI on a given subcarrier as a function of both the channel statistics (i.e., path loss, shadowing and fading) and multiuser scheduling decisions. The framework is generic in the sense that the derivations hold for generalized fading channels and various scheduling algorithms. We start by deriving the distribution of the location of the scheduled user in a given cell. We then derive the distribution and moment generating