원문정보
초록
영어
Conversely to the fully connected case, it has been proved in theory that interference alignment (IA) can be achievable in a partially connected multi-cell multiple input and multiple output (MIMO) interfering broadcast channels (IBC) network of arbitrary size efficiently. For this applicable significance, based on the L-interfering MIMO IBC model, we present three iterative IA algorithms to solve the alignment problem for this type of model in this paper. Then we discuss the feasibility conditions and the computational complexity of the algorithms. Simulations show that, with a finite antenna number per transmitter and receiver pair between base station (BS) and user, the proposed algorithms can achieve the optimal degrees of freedom (DoF) and can be applied to a partially connected MIMO IBC network with arbitrary number of cells and users per cell.
목차
1. Introduction
2. System Model
3. Proposed Algorithms
3.1. The Proposed Iterative IA Algorithms
3.2. Feasibility of the proposed iterative IA algorithms
3.3. Computational Complexity
4. Simulation Results
5. Conclusion
Acknowledgements
References