Research On The Inter-cell Interference Coordination Algorithms In Heterogeneous Network

Inter-cell Interference Coordination algorithm acts as an important role in the enhancement of the performances of heterogeneous network, which is a hot issue among researchers. As with the highly increasing need for data rate among users, the cellular network architecture has evolved. The introduction of the low power node into heterogeneous network has resulted in a more complicated interference scene, which simultaneously makes up for the coverage incompletion of MeNB. Based on that, this article mainly focuses on the interference coordination algorithms applying to HetNet.Firstly, this paper focuses on the cross layer interference under the circumstance that macro-cell and micro-cell share the same frequency. The problem of low resource utilization is pointed out among current eICIC techniques. In addition, set several discrete power levels for macro-cell in almost blank sub-frame to reduce the interference. Abstract the system model into a complicated mathematical model. Furthermore, use an enhanced hybrid particle swarm optimization algorithm to resolve it.Secondly, we research on the frequency resource management techniques in eICIC algorithms. Based on it, this paper presents a novel frequency-band reservation ABS strategy which could dynamically assign resources according to the changing load condition. Switching our focus from a whole sub-frame to an RB resource, this strategy aims at coordinating the resource distribution between the macro layer and micro layer in general.Thirdly, this paper focuses on the peer layer interference under the circumstance that macro-cell and micro-cell share orthogonal frequency. The interference scene of dense small cells is analyzed. Because of the introduction of TDD dynamic sub-frame configuration technique, a new type of interference—serial interference is the most obvious. Therefore, a dynamic clustering strategy is proposed to manage the serial interference of cells within same cluster by limiting the flexibility of resource configuration. Furthermore, a multi-tone ABS algorithm is proposed to reduce the traditional interference of small cells within same cluster, ensuring the performance of user fairness.Finally, we simulate the proposed enhanced eICIC algorithms and the ABS based interference avoidance algorithm and compare the results. The simulation results show that the new algorithms effectively promote the performance of the throughput and SINR and guarantee the performance of user fairness.