Research On Inter-Cell Interference Coordination Techniques In The Next Generation Wireless Communication System

Since the OFDM technology can guarantee the sub-carriers used by each user in the cell are orthogonal to each other, it avoids the interference between users within the cell in the next generation wireless communication system. Although intra-cell interference has been completely eliminate, inter-cell interference has become the critical issues in the next generation of wireless communication systems, because the frequency reuse allows to use the same frequency band between the adjacent cells. Due to spectrum resource scheduling can avoid or mitigate the inter-cell interference, inter-cell interference coordination technology is increasingly favored by academia and industry in recent years. It is worth mentioning that inter-cell interference coordination technology has become one of key technologies in3GPP LTE and LTE-Advanced technology standards.Fractional Frequency Reuse (FFR) and Soft Frequency Reuse (SFR) which are employed extensively in static ICIC techniques are researched deeply in this paper. The main work in this paper is as follows:Firstly, FFR and SFR are compared and analyzed in this paper. By means of theory and simulation analyzing, the cell-center user’s performance is improved in FFR scheme, while the cell-edge user’s throughput is improved in SFR scheme.Secondly, the number of users and power factor’s influence on the FFR and SFR techniques are studied in this paper. By means of theory and simulation analyzing, the number of users has a great influence on each user’s throughput, while the power factor is also the key factor that affects the user throughput.Thirdly, an improved SINR threshold based user classification algorithm is proposed in this paper. The algorithm can optimize the SINR threshold, improve the cell-center user and cell-edge user’s performance and ensure the users’ fairness.Fourthly, an improved throughput based user classification algorithm is also proposed in this paper. The algorithm reduces the complexity of the original throughput based user classification algorithm and guarantee user’s fairness.