Title
Semi-Blind Interference Cancellation With Single Receive Antenna For Heterogeneous Networks
Abstract
In order to cope with severe interference in heterogeneous networks, this paper proposes a semi-blind interference cancellation scheme, which does not require multiple receive antennas or knowledge about training sequences of the interfering signals. The proposed scheme performs joint channel estimation and signal detection (JCESD) during the training period in order to blindly estimate channels of the interfering signals. On the other hand, maximum likelihood detection (MLD), which can be considered the optimum JCESD, must perform channel estimation for all transmitted signal candidates of the interfering signals and must search for the most likely signal candidate. Therefore, MLD incurs a prohibitive amount of computational complexity. To reduce such complexity drastically, the proposed scheme enhances the quantized channel approach, and applies the enhanced version to JCESD. In addition, a recalculation scheme is introduced to avoid inaccurate channel estimates due to local minima. Using the estimated channels, the proposed scheme performs multiuser detection (MUD) of the data sequences in order to cancel the interference. Computer simulations show that the proposed scheme outperforms a conventional scheme based on the Viterbi algorithm, and can achieve almost the same average bit error rate performance as the MUD with channels estimated from sufficiently long training sequences of both the desired signal and the interfering signals, while reducing the computational complexity significantly compared with full search involving all interfering signal candidates during the training period.
Year
DOI
Venue
2018
10.1587/transcom.2017EBP3058
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
heterogeneous networks, interference cancellation, quantized channel approach, channel estimation, multiuser detection
Computer science,Single antenna interference cancellation,Computer network,Multiuser detection,Heterogeneous network
Journal
Volume
Issue
ISSN
E101B
1
0916-8516
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Huiyu Ye100.68
Kazuhiko Fukawa221239.25