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Performance Evaluation of MIMO-OFDM with Twin Turbo Decoder

IEICE TRANSACTIONS ON COMMUNICATIONS 2009年第1期E92B卷 228-236页

作者： Hatakawa, Yasuyuki Miyazaki, Noriaki Suzuki, Toshinori KDDI R&D Labs Inc Fujimino 3568502 Japan

This paper proposes Twin Turbo (T2) MIMO-OFDM (multiple input multiple output-Orthogonal Frequency Division multiplexing). The advanced iterative decoder, called the T2 decoder, decreases the transmission error rate compared to conventional turbo decoders because it uses the correlation information among the bits mapped on an identical symbol of multi-level modulation and updates the channel reliability. When T2 is applied to a MIMO-OFDM, the required symbol energy to noise power density ratio (E-s/N-0) can be reduced more effectively than when T2 is applied to SISO (Single input Single output). This is because T2 can use the correlation among the bits not only mapped on an identical symbol but also transmitted from different antennas. Moreover, T2 achieves good performance in a correlated MIMO channel because the average minimum squared Euclidean distances between symbol replica candidates consisting of signals transmitted from multiple transmitter antennas are reduced. Computer simulations verify that the required E-s/N-0 of T2 MIMO-OFDM using 16QAM is 1.9 dB lower than that of a conventional turbo decoder when the correlation coefficients of transmitter and receiver antennas are 0.8. A computational complexity analysis clarifies the relation between the increase in computational complexity and the reduction in the required E-s/N-0.

关键词： iterative decoder multiple-input multiple-output FEC (Forward Error Correction) correlated channel turbo coding computational complexity

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New MIMO ARQ protocols and joint detection via sphere decoding

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2006年第2期54卷 473-482页

作者： Samra, H Ding, Z Kestrel Signal Proc Inc Fairfield CA 94534 USA Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA

In this paper, we develop some new automatic repeat request (ARQ) protocols for multiple-input multiple-out (MIMO) flat-fading channels which adapt the bit-to-symbol mapping of each ARQ retransmission. We begin by defining a model for distinctly mapped transmissions through flat-fading MIMO channels. We characterize the effect that such a mapping diversity has on an integrated receiver utilizing sphere decoding. Varying the symbol mapping complicates the sphere decoding process, particularly for the enumeration of candidate solutions within the sphere. A technique that enables quick candidate enumeration is presented, utilizing concepts from existing closest point search schemes. The advantage of mapping diversity, in reducing bit error rate and reducing computational complexity, is presented along with simulation examples.

关键词： automatic repeat request (ARQ) mapping diversity multiple-input multiple-output sphere decoding space-time coding

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Joint Channel Parameter Estimation and Scatterers Localization

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2023年第5期22卷 3324-3340页

作者： Hong, Jingxiang Rodriguez-Pineiro, Jose Yin, Xuefeng Yu, Ziming Tongji Univ Coll Elect & Informat Engn Shanghai 200092 Peoples R China Huawei Technol Co Ltd Chengdu 610000 Peoples R China

In this paper, the novel extended space-alternating generalized expectation-maximization (SAGE) algorithm, providing joint propagation channel multi-path component (MPC) estimation and scatterer localization underlying spherical-wavefront multipath model, is proposed. Two geometry-based models are aided for estimating the first and last hop scatterers under different bouncing orders. The performance of the proposed algorithm, as called geometry-aided SAGE (GA-SAGE), is illustrated by means of the Cramer-Rao lower bound derived for parameter estimates and the root-mean-square-estimation-errors (RMSEEs) obtained through and Monte-Carlo simulations, which shows the applicability both near- and far-field estimation. Finally, the GA-SAGE is applied to processing the experimental data obtained from measurements in an indoor office environment by using a single-input multiple-output (SIMO) configuration. The obtained results show that the method proposed outperforms the traditional SAGE algorithm in terms of MPCs estimation accuracy, convergence rate, and the extra capability of localizing scatterers involved in different bouncing order propagation paths. It is considered useful in environment sensing alike applications and makes the GA-SAGE an efficient and effective tool for the development of geometry-based stochastic channel models capable of reproducing channel realizations of the so-called spatial consistency or spatial non-stationarity, which are the basis for the design of transmission technologies using extremely-large antenna array (ELAA) for 5G and beyond.

关键词： Antenna arrays Antenna measurements Channel estimation Monte Carlo methods Location awareness Channel models MIMO communication Propagation channel estimation scatterer localization regularly shaped geometric models multiple-input multiple-output high-resolution parameter estimation algorithms

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Channel Estimation for RIS-Aided MIMO Systems: A Partially Decoupled Atomic Norm Minimization Approach

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2024年第11期23卷 16048-16061页

作者： Chu, Yonghui Wei, Zhiqiang Yang, Zai Ng, Derrick Wing Kwan Xi An Jiao Tong Univ Sch Math & Stat Xian 710049 Shaanxi Peoples R China Peng Cheng Lab Shenzhen 518055 Guangdong Peoples R China Pazhou Lab Huangpu Guangzhou 510555 Guangdong Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

Channel estimation (CE) plays a key role in reconfigurable intelligent surface (RIS)-aided multiple-input multiple-output (MIMO) communication systems, while it poses a challenging task due to the passive nature of RIS and the cascaded channel structures. In this paper, a partially decoupled atomic norm minimization (PDANM) framework is proposed for CE of RIS-aided MIMO systems, which exploits the three-dimensional angular sparsity of the channel. In particular, PDANM partially decouples the differential angles at the RIS from other angles at the base station and user equipment, reducing the computational complexity compared with existing methods. A reweighted PDANM (RPDANM) algorithm is proposed to further improve CE accuracy, which iteratively refines CE through a specifically designed reweighting strategy. Building upon RPDANM, we propose an iterative approach named RPDANM with adaptive phase control (RPDANM-APC), which adaptively adjusts the RIS phases based on previously estimated channel parameters to facilitate CE, achieving superior CE accuracy while reducing training overhead. Numerical simulations demonstrate the superiority of our proposed approaches in terms of running time, CE accuracy, and training overhead. In particular, the RPDANM-APC approach can achieve higher CE accuracy than existing methods within less than 30 percent training overhead while reducing the running time by tens of times.

关键词： Training Reconfigurable intelligent surfaces MIMO communication Accuracy Channel estimation Phase control Minimization Atomic norm minimization adaptive phase control channel estimation multiple-input multiple-output reconfigurable intelligent surface

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Integer-Forcing Linear Receiver Design with Slowest Descent Method

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2013年第6期12卷 2788-2796页

作者： Wei, Lili Chen, Wen Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

Compute-and-forward (CPF) strategy is one category of network coding in which a relay will compute and forward a linear combination of source messages according to the observed channel coefficients, based on the algebraic structure of lattice codes. Recently, based on the idea of CPF, integer forcing (IF) linear receiver architecture for MIMO system has been proposed to recover different integer combinations of lattice codewords for further original message detection. In this paper, we consider the problem of IF linear receiver design with respect to the channel conditions. Instead of exhaustive search, we present practical and efficient suboptimal algorithms to design the IF coefficient matrix with full rank such that the total achievable rate is maximized, based on the slowest descent method. Numerical results demonstrate the effectiveness of our proposed algorithms.

关键词： multiple-input multiple-output linear receiver lattice codes compute-and-forward MMSE

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MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第6期71卷 6738-6743页

作者： Thien Huynh-The Toan-Van Nguyen Quoc-Viet Pham da Costa, Daniel Benevides Kim, Dong-Seong Kumoh Natl Inst Technol ICT Convergence Res Ctr Gumi 39177 Gyeongsangbuk D South Korea Kumoh Natl Inst Technol Dept IT Convergence Gumi 39177 Gyeongsangbuk D South Korea Utah State Univ Dept Elect & Comp Engn Logan UT 84321 USA Pusan Natl Univ Korean Southeast Ctr Ind Revolut Leader 4 Yangsan 50612 Gyeongsangnam D South Korea Technol Innovat Inst AI & Telecom Res Ctr Abu Dhabi 9639 U Arab Emirates Natl Yunlin Univ Sci & Technol Future Technol Res Ctr Touliu 64002 Yunlin Taiwan

Automatic modulation classification (AMC) plays a vital role in cognitive radio to improve spectrum utilization efficiency, however, most of the existing works have focused on single-carrier communications in single-input single-output systems. In this paper, we propose an efficient AMC method for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems with the assumption of unknown frequency-selective fading channels and signal-to-noise ratio. At the receiver, the complex envelope samples of a burst signal acquired by multiple antennas are decomposed into in-phase and quadrature samples, which are then structured into a high-dimensional data array. To learn the modulation patterns from received signals, we develop a deep network, namely three-dimensional MIMO-OFDM convolutional neural network (MONet). With cuboidal convolution filters, the proposed MONet allows the network to capture underlying features as intra- and inter-antenna correlations at multi-scale signal representations. Relying on simulations, MONet achieves the classification accuracy of over 95% at 0 dB SNR under various channel impairments and shows the robustness with different MIMO antenna configurations.

关键词： Modulation Receiving antennas OFDM Correlation Convolution Transmitting antennas Three-dimensional displays Automatic modulation classification 3D convolutional neural network orthogonal frequency-division multiplexing multiple-input multiple-output

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Joint Source-Relay Optimization for Fixed Receivers in Multi-Antenna Multi-Relay Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2014年第1期13卷 62-74页

作者： Ikhlef, Aissa Schober, Robert Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada

We jointly optimize the source and relay precoders for multi-antenna multi-relay networks employing a prefixed receiver. Prefixed receivers are of practical interest since they enable low complexity at the end-user's receiver as well as backward compatibility. To compute the source and relay precoders, we consider two different criteria. The objective of the first criterion is to maximize the worst stream signal-to-interference-plus-noise ratio (SINR) at the output of the receiver subject to source and relay transmit power constraints. Under the second criterion, we minimize the source and relay transmit powers subject to a certain quality-of-service constraint. Both optimization problems are non-convex. To solve them, we propose iterative alternating algorithms, where, in each iteration, we compute the precoders alternately, i.e., for each precoder optimization, we fix all the precoders except the one which is optimized. For both criteria, we formulate the optimization problem for the computation of the source precoder as a second order cone programming (SOCP) problem, for which the optimal solution can be found using interior point algorithms. For each relay precoder, we formulate the optimization problem as a semidefinite relaxation (SDR) problem for which ready-to-use solvers exist. If the solution to the SDR problem is not of rank one, matrix rank-one decomposition or randomization is applied. We also provide sufficient conditions for the convergence of the proposed iterative alternating algorithms to a fixed point. Simulation results show that the performance of the proposed algorithms is close to the performance achieved if the source, relay, and receiver filters are jointly optimized.

关键词： Cooperative relaying multiple-input multiple-output joint optimization of source and relays prefixed receivers

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Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2024年第9期42卷 2228-2242页

作者： Zhou, Ziqin Li, Xiaoyang Zhu, Guangxu Xu, Jie Huang, Kaibin Cui, Shuguang Chinese Univ Hong Kong Shenzhen Shenzhen Res Inst Big Data Shenzhen 518172 Guangdong Peoples R China Chinese Univ Hong Kong Shenzhen Sch Sci & Engn Shenzhen 518172 Peoples R China Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China

In the sixth-generation (6G) networks, massive low-power devices are expected to sense environment and deliver tremendous data. To enhance the radio resource efficiency, the integrated sensing and communication (ISAC) technique exploits the sensing and communication functionalities of signals, while the simultaneous wireless information and power transfer (SWIPT) techniques utilizes the same signals as the carriers for both information and power delivery. The further combination of ISAC and SWIPT leads to the advanced technology namely integrated sensing, communication, and power transfer (ISCPT). In this paper, a multi-user multiple-input multiple-output (MIMO) ISCPT system is considered, where a base station equipped with multiple antennas transmits messages to multiple information receivers (IRs), transfers power to multiple energy receivers (ERs), and senses a target simultaneously. The sensing target can be regarded as a point or an extended surface. When the locations of IRs and ERs are separated, the MIMO beamforming designs are optimized to improve the sensing performance while meeting the communication and power transfer requirements. The resultant non-convex optimization problems are solved based on a series of techniques including Schur complement transformation and rank reduction. Moreover, when the IRs and ERs are co-located, the power splitting factors are jointly optimized together with the beamformers to balance the performance of communication and power transfer. To better understand the performance of ISCPT, the target positioning problem is further investigated. Simulations are conducted to verify the effectiveness of our proposed designs, which also reveal a performance tradeoff among sensing, communication, and power transfer.

关键词： Sensors MIMO communication Array signal processing Wireless sensor networks Wireless communication Receivers Interference Integrated sensing and communication simultaneous wireless information and power transfer multiple-input multiple-output beamforming multi-user

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Mutual information assessment of LOS MIMO systems with reconfigurable antenna arrays

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The Journal of China Universities of Posts and Telecommunications 2013年第5期20卷 51-56,70页

作者： GAO Jun-jun ZHANG Jian-hua TAO Xiao-feng Science and Technology on Information Systems Engineering Laboratory Wireless Technology Innovation Institute Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications

In presence of line-of-sight （LOS） propagation, multiple-input multiple-output （MIMO） systems can achieve maximum capacity over the whole signal-to-noise ratio （SNR） region by deploying reconfigurable antenna arrays. In this paper, the moment generating function （MGF） formulas of the mutual information （MI） is obtained for LOS MIMO systems with reconfigurable arrays. Then the exact expression of the mean MI is derived in an easily evaluated form. The results show an excellent match between the theoretical curves and the Monte-Carlo simulations.

关键词： multiple-input multiple-output line-of-sight mutual information reconfigurable antenna array Wishart

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A Low Complexity Heterodyne Multiband MIMO Receiver with Baseband Automatic Gain Control

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IEICE TRANSACTIONS ON COMMUNICATIONS 2013年第12期E96B卷 3124-3134页

作者： Ohta, Tomoya Denno, Satoshi Morikura, Masahiro Kyoto Univ Grad Sch Informat Kyoto 6068501 Japan Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan

This paper proposes a novel heterodyne multiband multiple-input multiple-output (MIMO) receiver with baseband automatic gain control (AGC) for cognitive radios. The proposed receiver uses heterodyne reception implemented with a wide-passband band-pass filter in the radio frequency (RF) stage to be able to receive signals in arbitrary frequency bands. Even when an RF Hilbert transformer is utilized in the receiver, image-band interference occurs due to the imperfection of the Hilbert transformer. In the receiver, analog baseband AGC is introduced to prevent the baseband signals exceeding the voltage reference of analog-to-digital converters (ADCs). This paper proposes a novel technique to estimate the imperfection of the Hilbert transformer in the heterodyne multiband MIMO receiver with baseband AGC. The proposed technique estimates not only the imperfection of the Hilbert transformer but also the AGC gain ratio, and analog devices imperfection in the feedback loop, which enables to offset the imperfection of the Hilbert transformer. The performance of the proposed receiver is verified by using computer simulations. As a result, the required resolution of the ADC is 9 bits in the proposed receiver. Moreover, the proposed receiver has less computational complexity than that with the baseband interference cancellation unless a frequency band is changed every 9 packets or less.

关键词： cognitive radio heterodyne multiband receiver baseband automatic gain control multiple-input multiple-output analog devices imperfection in a feedback loop

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