Inter cell interference coordination (ICIC) strategies in cellular systems have vital importance for spectrum efficiency in dense urban networks. Frequency reuse and resource allocation approaches are used to overcome the interference and the efficiency problems. Users in the cell edge suffer from low throughput and signal to interference plus noise ratio. Although increasing the transmit power of the BS can be considered as a solution, it also causes ICI. Considering these difficulties, we propose a technique called Experience Based Dynamic Soft Frequency Reuse in the 5G millimeter-wave (mmWave) at 28 GHz band.The first objective of the proposed technique is to minimize the inter cell interference by using Soft Frequency Reuse method. The technique also aims to increase the overall system throughput by using Dynamic Channel Allocation.The third objective is to progress a fairness scheduler algorithm among users by optimizing the base station schedulers, which we call Experience-Based Packet Scheduler. The main purpose of this article is to find the best value for α in order to maximize the average user and cell edge user throughput while considering the users' fairness. Simulations and numerical results show that the proposed algorithm can achieve up to 30% higher performance in terms of the average user throughput rates and has better fairness for lower α values (0.3 and 0.4).

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Orthogonal frequency division multiple access (OFDMA) in Long Term Evolution (LTE) can effectively eliminate intra-cell interferences between the subcarriers in a single serving cell. But, there is more critical issue that, OFDMA cannot accomplish to decrease the inter-cell interference. In our proposed method, we aimed to increase signal to interference plus noise ratio (SINR) by dividing the cells as cell center and cell edge. While decreasing the interference between cells, we also aimed to increase overall system throughput. For this reason, we proposed a dynamic resource allocation technique that is called Experience-Based Dynamic Soft Frequency Reuse (EBDSFR). We compared our proposed scheme with different resource allocation schemes that are Dynamic Inter-cellular Bandwidth Fair Sharing FFR (FFRDIBFS) and Dynamic Inter-cellular Bandwidth Fair Sharing Reuse-3 (Reuse3DIBFS). Simulation results indicate that, proposed EBDSFR benefits from overall cell throughput and obtains higher user fairness than the reference schemes.