Earticle

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

Abstract
 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

키워드

저자

• Yuan Wang [ National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China, Chengdu 611731, China ]
• Zhongpei Zhang [ National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China, Chengdu 611731, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605