Interference Alignment in Relay-Aided Networks with Imperfect CSIT

Tian, Yue; Wang, Zhanwei

doi:10.1007/s11277-020-07410-2

Cited by 3 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to its excellent performance in interference management, many IA schemes have been developed for different kinds of network topologies. The recent research works mainly includes IC [5,8], X channel [11,12], interference broadcast channels (IFBC) [13,14], interfering multiple-access channels (IMACs) [15] and interference relay channel [16][17][18][19][20]. In addition, the combination of IA and various types technologies has recently been a topic of active research.…”

Section: Introductionmentioning

confidence: 99%

Full-Duplex MIMO Relay-Assisted Interference Alignment Algorithm in K-user Interference Channels

Bai

Jia

2023

Wireless Pers Commun

View full text Add to dashboard Cite

In this paper, we investigate the transceiver design schemes for the full-duplex (FD) multiple-input multiple-output (MIMO) relay-assisted K-user single-input multiple-output (SIMO) interference channels (ICs). Firstly, we propose an iterative optimized reference vector for IA (IORV-IA) algorithm in the perfect channel state information (CSI) scenario. The proposed IORV-IA algorithm not only achieves the alignment of interference signals at each receiver, but also iteratively optimizes the IA reference vector by orthogonalizing the directions of the interference signals and the desired signal. With the optimized IA reference vector, the relay processing matrix and the receiving filter vectors are designed to further improve the system performance. Considering that the relay cannot obtain perfect CSIs in practice due to many factors, and the performance of the IA scheme is very sensitive to this error. Furthermore, we propose a robust transceiver design scheme based on mean square error (MSE) in the imperfect CSI scenario, which minimizes the sum of MSEs in the worst case through iteration. The proposed algorithms are evaluated in terms of the average sum rate and bit error rate (BER) performance and the simulation Article Title results show the advantages of the proposed algorithms over existing centralized IA (CIA) and centralized zero-forcing (CZF) algorithms.

show abstract

Section: Introductionmentioning

confidence: 99%

Full-Duplex MIMO Relay-Assisted Interference Alignment Algorithm in K-user Interference Channels

Bai

Jia

2023

Wireless Pers Commun

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Full-Duplex MIMO Relay-assisted Interference Alignment Algorithm in K-user Interference Channels

Bai

Jia

2022

Preprint

View full text Add to dashboard Cite

In this paper, we investigate the transceiver design schemes for the full-duplex (FD) multiple-input multipleoutput (MIMO) relay-assisted K -user single-input multipleoutput (SIMO) interference channels (ICs). Firstly, we propose an iterative optimized reference vector for IA (IORV-IA) algorithm in the perfect channel state information (CSI) scenario. The proposed IORV-IA algorithm not only achieves the alignment of interference signals at each receiver, but also iteratively optimizes the IA reference vector by orthogonalizing the directions of the interference signals and the desired signal. With the optimized IA reference vector, the relay processing matrix and the receiving filter vectors are designed to further improve the system performance. Considering that the relay cannot obtain perfect CSIs in practice due to many factors, and the performance of the IA scheme is very sensitive to this error. Furthermore, we propose a robust transceiver design scheme based on mean square error (MSE) in the imperfect CSI scenario, which minimizes the sum of MSEs in the worst case through iteration. The proposed algorithms are evaluated in terms of the average sum rate and bit error rate (BER) performance and the simulation results show the advantages of the proposed algorithms over existing centralized IA (CIA) and centralized zero-forcing (CZF) algorithms.

show abstract

Algorithm Design of Maritime Wireless Communication Resources Based on Interference Alignment

Feng

2022

2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS)

View full text Add to dashboard Cite

Interference Alignment in Relay-Aided Networks with Imperfect CSIT

Cited by 3 publications

References 22 publications

Full-Duplex MIMO Relay-Assisted Interference Alignment Algorithm in K-user Interference Channels

Full-Duplex MIMO Relay-Assisted Interference Alignment Algorithm in K-user Interference Channels

Full-Duplex MIMO Relay-assisted Interference Alignment Algorithm in K-user Interference Channels

Algorithm Design of Maritime Wireless Communication Resources Based on Interference Alignment

Contact Info

Product

Resources

About