Interference Subspace Alignment-Based Precoding Design for Multi-Cell Multi-User Systems

Zhang, Ling; Gui, Lin; Mo, Xiaohao; Qi, Ming

doi:10.1109/tbc.2020.3028344

Cited by 8 publications

(4 citation statements)

References 36 publications

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“…Iterative IA algorithms have high computational complexity, so the closed-form IA design methods with low complexity have attracted intensive research interest [18][19][20][21][22][23]. For the MIMO downlink multiple-cell network, the IA precoding and filtering were designed in closed forms, by using a generalized eigenvalue decomposition of the square channel matrix, where each base station (BS) and each user both have N antennas [19].…”

Section: Introductionmentioning

confidence: 99%

“…For the multiple-multicast network, i.e., the multiple-cell broadcast interference network, an interference subspace alignment (ISA) algorithm without iterative computation was proposed in [22]. By adopting the thought of ISA, the full digital and hybrid precoding schemes were provided for the multiple-cell multiple-user system, and the closed-form ISA solution space was further developed [23]. However, these closed-form IA design schemes can only been applied in some special network scenarios or limit the degrees of freedom (DoF).…”

Section: Introductionmentioning

confidence: 99%

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Model Transformation based Closed-Form IA Design for Multiple-Cell MIMO Cellular Networks

Liu

Song

Zhang

et al. 2023

Preprint

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To apply the interference alignment (IA) technology to practical communication networks effectively, the low complexity IA design problem still needs to be solved well. In this paper, we study the low complexity closed-form IA design method, for the multiple-cell multiple-user multiple-input multiple-output (MIMO) cellular interference network. To eliminate the complex interference conveniently, the multiple-cell multiple-user cellular network model is transformed into several relatively simple network models. Based on the model transformation of the cellular network, the IA precoding is divided into two parts. Then the two-stage IA design scheme is proposed, which includes the outer IA design and inter one. The former is to eliminate the inter-cell interference, while the latter is to eliminate the inter-user interference. Simulation results show the higher system sum-rate performance and low computational complexity of the proposed IA design scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Transformation based Closed-Form IA Design for Multiple-Cell MIMO Cellular Networks

Liu

Song

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…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

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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

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

Interference Subspace Alignment-Based Precoding Design for Multi-Cell Multi-User Systems

Cited by 8 publications

References 36 publications

Model Transformation based Closed-Form IA Design for Multiple-Cell MIMO Cellular Networks

Model Transformation based Closed-Form IA Design for Multiple-Cell MIMO Cellular Networks

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

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