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Weighted Sumrate Maximizing hybrid precoder for MU-MISO-OFDM

IEEE ACCESS 2024年 12卷 30700-30722页

作者： Cornelis, Sander Noels, Nele Moeneclaey, Marc Univ Ghent Dept Telecommun & Informat Proc TELIN B-9000 Ghent Belgium

In multi-antenna transceivers with all-digital beamforming, the number of radio frequency (RF) chains necessarily equals the number of antennas, which entails a large hardware complexity and power consumption when deploying large antenna arrays. hybrid beamforming, which splits the beamforming into an analog part operating at RF and a digital part operating at baseband, allows using as few RF chains as the number of data streams. A further reduction in the RF hardware cost is achieved by imposing additional constraints on the analog beamformer, such as single-phase-shifter implementation and limited connectivity between the RF chains and antennas. In this contribution we consider a downlink multi-user MISO OFDM communication system and present a novel approach for obtaining the linear hybrid precoder that maximizes the weighted sumrate (WSR) under the above constraints on the analog part. Unlike the WSR maximizing hybrid precoders from the literature, our approach exploits the uplink-downlink duality and performs a gradient-based optimization over a suitable manifold which describes the search space as determined by the imposed constraints. The proposed approach gives rise to a WSR maximizing precoder with a better trade-off between performance and computational complexity compared with WSR maximizing precoders from the literature. From this WSR maximizing precoder, two reduced-complexity heuristic precoders are derived, which outperform state-of-the-art heuristic precoders from the literature, in terms of spectral efficiency and/or computational complexity. The performance of the WSR maximizing precoder provides a useful theoretical benchmark for any heuristic precoder with the same constraints on the analog part.

关键词： Radio frequency Optimization OFDM Array signal processing Downlink Symbols Vectors Wireless communication MIMO communication Precoding Manifolds Transceivers Antennas massive MIMO hybrid precoder MU-MISO-OFDM optimization over manifolds

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Rate-Maximizing Zero-Forcing hybrid precoder for MU-MISO-OFDM

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IEEE ACCESS 2023年 11卷 3275-3290页

作者： Cornelis, Sander Noels, Nele Moeneclaey, Marc Univ Ghent Dept Telecommun & Informat Proc TELIN B-9000 Ghent Belgium

hybrid precoders, consisting of an analog hardware-constrained part operating at radio frequency (RF) and a digital part operating at baseband, reduce the RF implementation complexity and power consumption of multi-antenna transceivers, at the expense of some rate loss compared to an all-digital precoder. The analog and digital parts of the hybrid precoder are commonly designed by performing a constrained matrix decomposition (MD) of the all-digital precoder, which aims to minimize the Euclidean distance between the matrices corresponding to the hybrid and the all-digital precoder. In contrast, in this contribution we determine the zero-forcing (ZF) hybrid precoder that directly maximizes the weighted sumrate of a MU-MISO-OFDM communication system, taking into account various hardware constraints on the analog part. The resulting maximum rate serves as a useful benchmark for comparison with other ZF hybrid precoders. In a multi-carrier massive MIMO scenario, the rate-maximizing ZF precoders show a considerable performance advantage over MD-type hybrid precoders, indicating that the latter precoders are far from optimum. This contribution also investigates the trade-off between performance and computational complexity. Because of the iterative nature of the rate-maximizing ZF hybrid precoders, their superior performance comes with a large computational complexity. When this complexity cannot be afforded, one should revert to the MD-type precoders, at the expense of a considerable performance penalty;among the MD-type precoders, the non-iterative ones have only a slightly worse performance but a significantly smaller computational complexity, in comparison with the iterative ones.

关键词： Wireless communication hybrid precoder MU-MISO-OFDM optimization over manifolds

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Energy Efficient hybrid precoder for Cell-Free Wideband mmWave Massive MIMO Systems

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IEEE COMMUNICATIONS LETTERS 2023年第9期27卷 2491-2495页

作者： He, Yun Shen, Min Wang, Rui Liu, Xiangyan Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China

In a cell-free (CF) wideband millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) system, a small number of users are simultaneously served by a much larger number of distributed access points (APs). These APs employ hybrid precoders to achieve beamforming gain. However, the beam squint caused by the spatial-wideband effect deteriorates the system performance. Moreover, the application of numerous radio frequency (RF) chains increases the power consumption and reduces the global energy efficiency (GEE). The letter focuses on designing energy efficient wideband hybrid precoders using low-resolution phase shifters (PSs) for fully connected (FC) and subarray-based phase shifter (SPS) architectures. A beam squint compensation (BSC) algorithm is proposed based on an iterative heuristic Gram-Schmidt algorithm to design the wideband hybrid precoder with the maximal number of RF chains. Based on the above wideband hybrid precoders, the number of RF chains is optimized as a shortest-path problem and solved by a novel bidirectional greedy tree search algorithm. Simulation results demonstrate that the proposed wideband hybrid precoder design can improve the GEE performance.

关键词： Cell-free massive MIMO millimeter-wave wideband hybrid precoder energy efficiency

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Energy Efficient Power Allocation for Cell-Free mmWave Massive MIMO With hybrid precoder

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IEEE COMMUNICATIONS LETTERS 2022年第2期26卷 394-398页

作者： He, Yun Shen, Min Zeng, Fanhui Zheng, Huanping Wang, Rui Zhang, Meng Liu, Xiangyan Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Guizhou Open Univ Network & Informat Ctr Guiyang 550000 Guizhou Peoples R China

This letter investigates the downlink of a cell-free millimeter wave (mmWave) massive multiple-input multiple-output (mMIMO) system, where many access points (APs) cooperatively serve a user. Although the intensive deployment of APs can dramatically improve the system capacity, it also increases the network energy consumption substantially. To track the non-concave global energy-efficiency (GEE) optimization problem, we decompose it into hybrid precoder design and power allocation design. A novel dynamic subarray with quantized phase shifters (DS-QPS) hybrid precoder is introduced, where each radio frequency (RF) chain only connects to a disjointed subset of antennas. The optimization problem of the number of RF chains is formulated as an eigenvalue maximization problem considering a realistic power consumption model. For power allocation, a new centralized framework is exploited to solve a sequence of simpler power allocation subproblems while still aiming at the GEE maximization by merging with fractional programming, non-cooperative game theory, and gradient-assisted binary search (GABS) algorithm. Simulations show that the joint design is more energy-efficient than the baselines.

关键词： Radio frequency Resource management Optimization hybrid power systems Power demand Matching pursuit algorithms Antenna arrays Cell-free massive MIMO millimeter wave power allocation hybrid precoder energy-efficient

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Low complex hybrid precoder for massive MU-MIMO mmWave systems 13

Low complex hybrid precoder for massive MU-MIMO mmWave syste...

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13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

作者： Ortega, Alvaro Javier Pereira da Silva, Maykon Renan Sidia Inst Sci & Technol Manaus Amazonas Brazil

ISBN: (数字)9781665410441

ISBN: (纸本)9781665410441

Wireless communication using millimeter-wave (mmWave) bands requires a large number of antennas with a reduced number of radio frequency chains. hybrid precoding provides a viable solution to these requirements, reducing the manufacturing cost and power consumption while maintaining an operable performance at the price of increasing the computational complexity. This paper proposes a hybrid precoding method that computes the baseband beamformer in a less complex fashion. The considered low-dimensional digital precoder requires a matrix inversion operation, which is obtained via approximation through an iterative scheme based on the secant method. Exhaustive numerical results evidence that the less complex proposed hybrid precoders offer satisfactory spectral efficiency and BER performance in multiple scenarios.

关键词： mmWave hybrid precoder massive MIMO complexity reduction

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Machine learning based hybrid precoder with user scheduling technique for maximizing sum rate in downlink MU-MIMO system

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International Journal of Information Technology (Singapore) 2022年第5期14卷 2399-2405页

作者： Rajarajeswarie, B. Sandanalakshmi, R. Department of Electronics and Communication Engineering Pondicherry Engineering College Puducherry India

Millimetre wave communication and massive MIMO are eminent candidates, to meet the requirements in a 5G network. The Combination of these techniques will impart an innovative and efficient transceiver signal processing techniques and radio resource management. The main idea of this paper is to propose a joint framework for user scheduling and hybrid precoder using Machine Learning (ML) for downlink Multi-User Multiple Input and Multiple Output systems (MU-MIMO) to enhance the sum rate. The downlink Multi-User MIMO (MU-MIMO) system model has been implemented in the Keysight’s Electronic System Level (ESL) SystemVue software to generate a channel matrix. Using the simulated channel matrix, correlation among the users were calculated which represents the realistic 5G channel response. A joint framework has been implemented with the Correlation factor-based user scheduling and cross entropy-based hybrid precoder (JUSHP) to maximize the achievable sum rate. The paper also proposes a weight assigned Cross- Entropy based hybrid precoder (JUSWHP) for further improvement in achievable sum rate. In both the framework machine learning algorithm has been applied to choose the best precoder for users in the MU-MIMO system. The simulation results authenticate that the JUSWHP framework achieves better performance with respect to achievable Sum Rate when compared to the other techniques. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.

关键词： hybrid precoder Machine learning Multi-user MIMO SystemVue User scheduling Weight assigned cross entropy

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SI-based hybrid precoder for mmWave massive MU-MIMO systems

SI-based hybrid precoder for mmWave massive MU-MIMO systems

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IEEE Colombian Conference on Communications and Computing (COLCOM)

作者： Ortega, Alvaro Javier Sidia Inst Sci & Technol Manaus Amazonas Brazil

ISBN: (纸本)9798350323214

This paper proposes a hybrid precoder based on low-cost and high-energy-efficient analog components. The considered hardware architecture requires switches and inverters instead of phase shifters, which significantly reduces the freedom degrees for the analog signal processing in the compensation for reducing the manufacturing cost and power consumption. Since the hardware architecture is based on switches, the proposed analog beamformer performs an effective and low computational complexity switching algorithm, which aims to maximize the system's sum rate. On the other hand, the proposed baseband beamformer performs a twofold procedure that eliminates the inter-user interference and increases the signal-to-noise ratio, further increasing the systems' sum rate. Simulation results show that although the freedom degrees to generate the analog beamformer are low, the proposed method overcomes hybrid precoders with phase shifters of up to 3 bits resolution in terms of BER, sum-rate, and energy efficiency.

关键词： hybrid precoder switching algorithm power allocation millimeter-wave massive MIMO

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Optimal Bit Allocation-Based hybrid precoder-Combiner Design Techniques for mmWave MIMO-OFDM Systems

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IEEE ACCESS 2021年 9卷 54109-54125页

作者： Majumder, Manjeer Saxena, Harshit Srivastava, Suraj Jagannatham, Aditya K. Indian Inst Technol Kanpur Dept Elect Engn Kanpur 208016 Uttar Pradesh India

This work conceives techniques for the design of hybrid precoders/combiners for optimal bit allocation in frequency selective millimeter wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, toward transmission rate maximization. Initially, the optimal fully digital ideal precoder/ combiner design is derived together with a closed-form expression for the optimal bit allocation in the above system. This is followed by the development of a framework for optimal transceiver design and bit allocation in a practical mmWave MIMO-OFDM implementation with a hybrid architecture. It is demonstrated that the pertinent problem can be formulated as a multiple measurement vector (MMV)-based sparse signal recovery problem for joint design of the RF and baseband components across all the subcarriers, and an explicit algorithm is derived to solve this using the simultaneous orthogonal matching pursuit (SOMP). To overcome the shortcomings of the SOMP-based greedy approach, an MMV sparse Bayesian learning (MSBL)-based state-of-the-art algorithm is subsequently developed, which is seen to lead to improved performance due to the superior sparse recovery properties of the Bayesian learning framework. Simulation results verify the efficacy of the proposed designs and also demonstrate that the performance of the hybrid transceiver is close to that of its fully-digital counterpart.

关键词： Millimeter wave frequency selective MIMO OFDM hybrid precoder combiner optimal bit allocation sparse Bayesian learning simultaneous orthogonal matching pursuit

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Energy-Efficient hybrid precoder With Adaptive Overlapped Subarrays for Large-Array mmWave Systems

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2020年第3期19卷 1484-1502页

作者： Guo, Ji-Chong Yu, Qi-Yue Meng, Wei-Xiao Xiang, Wei Harbin Inst Technol Commun Res Ctr Harbin 150001 Peoples R China James Cook Univ Coll Sci & Engn Cairns Qld 4870 Australia

In large-array millimeter-wave (mmWave) systems, hybrid pre-coding is one of the most attractive research topics. This paper first presents a flexible adaptive overlapped subarray (OSA) architecture for the analog precoder, whose architecture can be adjusted by a connection network. An objective function is formulated to maximize the energy efficiency (EE) in consideration of the insertion loss for the proposed adaptive OSA based hybrid precoder. The optimal scheme is intractable to achieve, so that we present a heuristic hybrid pre-coding scheme, where the digital precoder is designed based on the zero-forcing (ZF) rule and the analog precoder is designed based on simplified EE optimization in consideration of the insertion loss. We discuss the effect of non-ideal factors on the EE performance, such as quantized phases, imperfect channel state information (CSI), and faulty switches. Simulation results show that, when the initial transmit power is large, our proposed scheme offers a better EE performance than the fully digital pre-coding scheme and many other popular hybrid pre-coding schemes. Moreover, it is found that faulty switches make the double-edged effect on the EE performance when the numbers of activated phase shifters and combiners are pre-defined.

关键词： Millimeter wave hybrid precoder overlapped subarray (OSA) architecture large-array antenna multi-user MIMO

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hybrid precoder and Combiner Design for Single-User mmWave MIMO Systems

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IEEE ACCESS 2019年 7卷 63818-63828页

作者： Zhang, Ran Zou, Weixia Wang, Ye Cui, Mingyang Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun MOE Beijing 100876 Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing 210096 Jiangsu Peoples R China

Millimeter wave (mmWave) communications have been regarded as a key technology for the next generation cellular systems since the huge available bandwidth can potentially provide the rates of multiple gigabits per second. In mmWave multiple-input multiple-output (MIMO) systems, the conventional precoding is infeasible due to the hardware cost and power consumption. Therefore, hybrid precoding is considered as a promising technology to provide a compromise between hardware complexity and system performance. In this paper, we investigate the designs of the hybrid precoder and combiner in mmWave MIMO systems. We adopt the hierarchical strategy to design a hybrid precoder to maximize the spectral efficiency. In particular, we focus on the optimization of analog precoder and propose a novel iterative algorithm. Then, based on the optimal analog precoder, we compute the digital precoder to improve the spectral efficiency. For practical implementation, the proposed hybrid precoder design can be used in wideband systems with orthogonal frequency division multiplexing modulation. The simulation results and mathematical analysis show that the proposed algorithm can achieve near-optimal performance with low complexity for mmWave MIMO systems.

关键词： Millimeter wave MIMO hybrid precoder iterative optimization wideband

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