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constructive interference precoding for IRS-NOMA Networks

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2025年第5期24卷 3964-3978页

作者： Cui, Ke Wang, Wei Dong, Chao Zhao, Nan Wu, Qihui Niyato, Dusit Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Peoples R China Nanyang Technol Univ Coll Comp & Data Sci Singapore 639798 Singapore

Owing to the ability of reconfiguring wireless channels, intelligent reflecting surface (IRS) can help non-orthogonal multiple access (NOMA) to release its tremendous potential. However, the inter-user interference becomes the bottleneck of IRS-NOMA networks. To tackle this challenge, we propose two constructive interference precoding (CIP) based countermeasures in this paper for interference exploitation in IRS-NOMA networks. Specifically, the first scheme makes the residual interference from higher-order users (HUs) be constructive to lower-order users (LUs), so that the interference-free decoding can be achieved. While the second scheme directly utilizes the interference from LUs for the signal reception of HUs to avoid successive interference cancellation (SIC). The transmit power is minimized by jointly optimizing the BS active beamforming and the IRS passive beamforming for the two schemes, subject to the signal-to-interference-plus-noise ratio (SINR) requirement of each user, SIC decoding constraints, constructive condition and IRS unit-modulus constraint. Due to the coupled variables and non-convex constraints, we first decompose each problem into two subproblems, and then apply successive convex approximation (SCA) to convert them into convex ones. Finally, an alternating optimization (AO) based algorithm is proposed to solve the two convex subproblems for each scheme iteratively. Simulation results are presented to show the superiority and applicability of the proposed schemes compared to benchmarks.

关键词： interference interference cancellation NOMA Signal to noise ratio Array signal processing Decoding Wireless communication precoding Symbols Receivers constructive interference precoding intelligent reflecting surface non-orthogonal multiple access successive interference cancellation

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Enhancing MISO-NOMA Networks via constructive interference precoding

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IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第1期72卷 510-523页

作者： Wang, Wei Duan, Lingjie Liu, Xin Zhao, Nan Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Singapore Univ Technol & Design SUTD Engn Syst & Design Pillar Singapore 487372 Singapore

As a symbol-level precoding scheme, constructive interference precoding (CIP) has been demonstrated its superiority in multi-antenna orthogonal multiple access (OMA). By utilizing both the channel state information (CSI) and data symbols, harmful multi-user interference can be converted into useful reception power via the well-designed CIP. When CIP meets non-orthogonal multiple access (NOMA) whose bottleneck is usually at the weaker user, this paper is the first to propose CIP to enhance the downlink MISO-NOMA networks, by making the desired signal of the stronger user in a typical NOMA pair constructive to the weaker user. In our CIP-NOMA scheme, we properly design the CIP precoder for transmit power minimization at the base station (BS), subject to signal-to-interference-plus-noise ratio (SINR) requirements of NOMA users. We further derive its closed-form solutions with Karush-Kuhn-Tucker (KKT) conditions, and optimally obtain the desired CIP precoders. Moreover, as compared to conventional NOMA schemes, we theoretically prove that once two NOMA users possess distinct channel gains, our optimized CIP-NOMA scheme always uses lower transmit power to reach the SINR thresholds. To be robust against the channel estimation errors, we extend our CIP-NOMA scheme to the scenario of imperfect CSI, by further addressing the hidden CSI errors. Specifically, we first introduce some auxiliary variables to separate the coupled vectors, and then use S-Procedure and semi-definite relaxation (SDR) to further transform them into convex ones. Extensive simulations verify that our CIP-NOMA scheme greatly outperforms the benchmarks with both perfect and imperfect CSI.

关键词： constructive interference precoding semi-definite programming imperfect CSI

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Exploiting constructive interference precoding for MISO-NOMA Networks

Exploiting Constructive Interference Precoding for MISO-NOMA...

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IEEE International Conference on Communications (IEEE ICC)

作者： Wang, Wei Duan, Lingjie Liu, Xin Zhao, Nan Dalian Univ Technol Sch Informat & Commun Engn Dalian Peoples R China Singapore Univ Technol & Design SUTD Engn Syst & Design Pillar Singapore Singapore

ISBN: (纸本)9781538674628

As a symbol-level precoding scheme, constructive interference precoding (CIP) has been demonstrated its superiority in multi-antenna orthogonal multiple access (OMA) systems. By utilizing both the channel state information (CSI) and data symbols, harmful multi-user interference can convert to useful reception power via the well-designed CIP precoder. When CIP meets non-orthogonal multiple access (NOMA) whose bottleneck is usually at the weaker user side, this paper is the first to propose CIP to enhance the downlink MISO-NOMA networks, by making the desired signal of the stronger user in a typical NOMA pair constructive to the weaker user. In our CIP-NOMA scheme, we properly design the CIP precoder for transmit power minimization at the base station (BS), subject to signal-to-interference-plus-noise ratio (SINR) requirements of NOMA users. By replacing the non-convex constraints with convex linear matrix inequalities, we optimally obtain the precoding solutions for our CIP-NOMA scheme by semidefinite relaxation (SDR) method. Moreover, as compared to conventional NOMA schemes, we theoretically prove that once two NOMA users possess distinct channel gains, our optimized CIP-NOMA scheme always uses smaller transmit power to reach the target SINR thresholds. We further extend our CIP-NOMA scheme to the scenario of imperfect CSI, by further addressing the hidden CSI errors. Finally, we run extensive simulations to verify that our proposed CIP-NOMA scheme greatly outperforms zero-forcing (ZF), conventional NOMA and conventional CIP schemes.

关键词： constructive interference precoding NOMA semi-definite programming imperfect CSI

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Symbol Error Rate Minimization Based constructive interference precoding for Multi-User Systems

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IEEE ACCESS 2021年 9卷 42543-42555页

作者： Zhang, Ling Gui, Lin Mo, Xiaohao Sang, Xichao Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

Symbol level precoding based on the concept of constructive interference has been recognized as an advanced version of conventional interference-avoidance precoding for multi-user transmission. With the full knowledge of channel state information (CSI) and symbol information, inter-user interference is adjusted to bring constructive effect to the desired signal. However, the existing schemes are limited within the concept of channel pre-equalization which could be further improved. In this paper, we propose a symbol error rate (SER) minimization based constructive interference precoding scheme for multi-user systems. The constructive interference region is firstly defined based on the analysis of the SER expression, which implies that the proposed scheme is essentially a symbol pre-detection scheme. Then, we prove that the optimal precoded signal for SER minimization shall be the linear combination of the channel vectors. Accordingly, a modified feasible direction algorithm is developed to handle the complex expression of SER, where an extra projection step is proposed to enhance the efficiency of the feasible direction. Finally, the proposed scheme is further extended for transmit power optimization and imperfect CSI cases. Simulation results highlight the efficiency of the modified feasible direction, and the superiority of the proposed scheme in terms of SER and transmit power.

关键词： interference precoding Minimization Optimization Signal to noise ratio Simulation Error analysis constructive interference precoding multi-user systems symbol error rate minimization modified feasible direction symbol pre-detection

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