We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
An Improved Multiceli MMSE Channel Estimation in a Massive MIMO System.
- Authors
Ke Li; Xiaoqin Song; Ahmad, M. Omair; Swamy, M. N. S.
- Abstract
Massive MIMO is a promising technology to improve both the spectrum efficiency and the energy efficiency. The key problem that impacts the throughput of a massive MIMO system is the pilot contamination due to the nonorthogonality of the pilot sequences in different cells. Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. Furthermore, the channel estimation is always carried out with some ideal assumptions such as the complete knowledge of large-scale fading. In this paper, a new channel estimation scheme is proposed by utilizing interference cancellation and joint processing. Highly interfering users in neighboring cells are identified based on the estimation of large-scale fading and then included in the joint channel processing; this achieves a compromise between the effectiveness and efficiency of the channel estimation at a reasonable computational cost, and leads to an improvement in the overall system performance. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.
- Subjects
MINI-Mental State Examination; MIMO systems; TELECOMMUNICATION channels; WIRELESS communications; RADIO transmitter fading
- Publication
International Journal of Antennas & Propagation, 2014, p1
- ISSN
1687-5869
- Publication type
Article
- DOI
10.1155/2014/387436