on the other side it enhances the intercell interference (ICI) which is an alarming bottleneck in the telecommunication growth paradigm. The allocation of the same frequency bands across neighboring cells produces indeterministic ICI which is highly dependent on the statistics of the channel characteristics and on the dynamics of the multiuser scheduling decisions. In this context, it is of immense importance for the system designers to accurately characterize and investigate the behavior of the ICI which helps in gaining more theoretical insights, quantifying various network performance metrics and developing efficient resource allocation and interference mitigationschemes. 

Orthogonal frequency division multiple access (OFDMA) has been recently adopted as the multiple access scheme for the state-of-the-art LTE and WiMAX cellular technologies. In OFDMA, a wide-band frequency-selective fading channel is decomposed into a set of orthogonal narrow-band subcarriers. The orthogonality among the subcarriers per cell makes the intra-cell interference almost negligible. However, with universal frequency reuse among cells (i.e., all cells use the same set of subcarriers), the ICI at each subcarrier may cause severe degradation in the network performance. In OFDMA networks, the subcarriers are allocated adaptively among users per cell based on a predefined scheduling scheme. Moreover, each subcarrier is allocated to only one user per cell at a given time instant and, thus, the number of interfering users on each subcarrier is rather limited. Therefore, the cumulative ICI on a given subcarrier may not be modeled accurately as a Gaussian random variable (RV) by simply invoking the central limit theorem. 

Several recent studies considered the modeling of ICI in the downlink where the location of interferers is typically deterministic. In [1], a semi-analytical approach to estimate the ICI by modifying the Burr distribution considering path loss, Rayleigh fading and log-normal shadowing was presented. A semi- analytical distribution for the signal-to-interference-noise ratio (SINR) has been derived in [2] under path loss and log normal shadowing for randomly located femtocell networks. In [3], the applicability of the Gaussian and binomial distributions for modeling the downlink ICI is investigated. In [4], the optimal threshold is derived for fractional frequency reuse (FFR) systems assuming ICI as Gaussian RV. In [5], the authors derived the distribution of the ICI under log-normal shadowing and Rayleigh fading. The distribution of ICI is shown to highly deviate from the Gaussian distribution in OFDMA networks. 

In comparison to downlink, the nature of uplink intercell interference (ICI) is different in various aspects that include the following: (i) Due to the implicit symmetry and fixed locations of the BSs in the typical grid-based downlink network models, the number of significantly contributing interferers typically remains the same irrespective of the position of the mobile receiver. Also, it has been shown in [3] that 

