20 Fig. 6 quantifies the average resource fairness of all presen ted scheduling schemes. As expected, round robin is a strictly fair scheme. The proportional fair scheme possesses the ability to enhance the network throughput compared to round robin scheduling while providing a high degree of fairness. The greedy scheme is observed to be the most unfair scheme. Considering K time slots, the average fairness of the location based round robin scheme is investigated and found to be very close to the round robin scheme, however, with degradation in performance as can be observed in Fig. 5. For the greedy round robin scheme, we plotted the fairness metric considering W = 3 and W = 6 ; it is shown that as the number of time slots increases, the fairness improves with a trade-off price in terms of ergodic capacity. In Fig. 7, we evaluate the network outage probability as a function of the outage threshold; q = ( Z + X$_{0}$ ) /Y for (i) U = 50 users; (ii) U = 100 users. The numerical and simulation results are nearly identical for most cases. The higher the outage threshold for a given signal and interference power, the greater outage is expected. Moreover, for larger number of users the outage probability is observed to reduce for all opportunistic scheduling schemes except the round robin scheme. Since increasing the number of users on a given subcarrier in non-opportunistic schemes does not directly affect the access probability of a ring k , therefore its impact on the ICI ia almost negligible. This fact can also be verified from Fig. 5. Finally, in Fig. 8, we evaluate the network ergodic capacity as a function of the fading severity parameter and average power of Gamma fading interference channels for different scheduling schemes. Firstly, it can be observed that increasing the average power of the interference channel which is given by Ω = m$_{c}$m$_{s}$ for a given fading severity parameter m$_{s}$ , the capacity degrades significantly for all schemes. Moreover, it is also shown that increasing the fading severity m$_{s}$ while keeping the average power Ω = 3 fixed has minimal impact on the system capacity. Therefore, t he lower average power of interference channel Ω , the better is the overall system performance. VIII. PART I: CONCLUSION We proposed a novel approach to model the uplink ICI considering various scheduling schemes and composite fading channel models. The proposed approach is not dependent on a particular shadowing and fading statistics, hence, extensions to different models is possible. The provided numerical results and help in gaining insights into the behavior of ICI considering different scheduling schemes and composite fading models. Moreover, they provide quantitative assessment of the relative performance of various scheduling schemes which is important for network design and assessment.