Research On The Algorithm For Inter-cell Interference Coordination In LTE-A System

Interference coordination algorithm is one of the important ways to solve the interference network interference,which result from the increasing number of users and make spectrum resource more and more precious.Therefore,research on interference coordination algorithm considering promoting frequency resource utilization became the interference coordination research hot spot and the main research direction.This article,the improved interference alignment algorithm are proposed to decrease the complexity of the interference alignment algorithm and increase the practicability of algorithm at the same time.Firstly,the interference alignment algorithm model and feasibility of various antenna configuration of interference network are studied.After that,the advantages and disadvantages of interference alignment algorithm are analyzed.Secondly,considering the flaw that the feedback signal overhead of interference alignment,the reduced feedback signal overhead modified interference alignment algorithm is proposed based on the feasibility of interference alignment.The feasibility of proposed algorithm is tested by Bezout's Theorem.By selecting the subset of sender and receiver's channel matrix,the proposed algorithm can greatly reduce the feedback signal overhead compared with selecting the full channel matrix set to feedback.Thirdly,clustering algorithm which aims at breaking the linearity between the number of antennas and users is proposed based on the principle that not all the interference needs to be eliminated.Interference network is break into smaller networks by clustering algorithm,which interference alignment can be applied into smaller networks ignoring the weak inter-cluster interference.Through mathematical deduction,the balanced clustering optimization which is a NP problem is transmitted into a linear problem and solved simply and clearly.Finally,the simulation results of minimum feedback interference alignment algorithm and clustering algorithm are presented in this paper.The results have proved that breaking interference network into smaller network using clustering algorithm and applying minimum feedback interference alignment algorithm into every cluster can decrease the interference coordinated algorithm complexity and increase the system throughput.