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Time-Frequency Compressed FTN Signaling: A Solution to Spectrally Efficient Single-Carrier System

IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第5期68卷 3125-3139页

作者： Wen, Shan Liu, Guanghui Chen, Qiang Qu, Huiyang Tian, Miao Guo, Jishun Zhou, Pan Wu, Dapeng Oliver Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China Huazhong Univ Sci & Technol Sch Cyber Sci & Engn Wuhan 430074 Peoples R China Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

Faster-than-Nyquist signaling (FTNS) is capable of improving the spectral efficiency (SE) of communication systems. However, for conventional single-carrier FTNS (SC-FTNS) in which only symbol interval is reduced, the increase of SE is very limited due to the presence of inter-symbol interference (ISI) introduced by the FTNS. To deal with this problem, this paper proposes a new time-frequency compressed SC-FTNS (TFC-SC-FTNS) scheme that includes the conventional FTNS as a special case, to improve the SE via two dimensions simultaneously: time dimension by stacking symbols closer;frequency dimension by precoding to make the FTN signal spectrum more compact. Further, an optimization subject to a spectral mask constraint is performed on the precoder to suppress the ISI, according to a mean-square-error criterion, but the optimization problem is non-convex. A nontrivial contribution in the new scheme is that the non-convex problem is transformed into a convex one by a change of variable and an addition of admissibility constraint. Simulation results demonstrate that the proposed scheme significantly outperforms the conventional FTNS in terms of achievable SE or, equivalently, reception performance at a given SE. Further, with larger constellations applied, the gains of the TFC-FTNS increase.

关键词： Precoding Time-frequency analysis Complexity theory Detectors Receivers Bandwidth Optimization Faster-than-Nyquist (FTN) time-frequency compression (TFC) turbo MMSE equalization precoder design spectral mask

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Joint Power Allocation and Precoding for Network Coding-Based Cooperative Multicast Systems

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IEEE SIGNAL PROCESSING LETTERS 2008年 15卷 817-820页

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

In this letter, we propose two power allocation schemes based on the statistical channel state information (CSI) and instantaneous s -> r CSI at transmitters, respectively, for a 2 - N - 2 cooperative multicast system with nonregenerative network coding. Then the isolated precoder and the distributed precoder are, respectively, applied to the schemes to further improve the system performance by achieving the full diversity gain. Finally, we demonstrate that joint instantaneous s -> r CSI-based power allocation and distributed precoder design achieve the best performance.

关键词： Cooperative multicast network frame error probability network coding power allocation precoder design

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Precoding and Selection for Coordinated Multipoint Transmission in Fronthaul-Constrained Cloud-RAN

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IEEE WIRELESS COMMUNICATIONS LETTERS 2020年第1期9卷 51-55页

作者： Servetnyk, Mykola Fung, Carrson C. Natl Chiao Tung Univ Inst Elect Hsinchu 300 Taiwan

A joint transmission point selection and precoding scheme is proposed herein to mitigate interference in a C-RAN system with distributed fronthaul-constrained transmission points. Two methods are proposed to deal with the original NP-hard problem. First, reformulation into convex form is done using an upper bound method, where tightness of the bound and its implication on system scenario are easy to establish. The second one uses successive convex approximation to approximate the nonconvex constraint and is shown to maximize spectral efficiency at the expense of higher computational complexity compared to the first approach. Numerical results will show the efficacy of the proposed approaches.

关键词： Interference Upper bound Signal to noise ratio Precoding Quality of service Wireless communication Iterative methods Cooperative transmission transmission point clustering precoder design successive convex approximation

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Energy-Spreading-Transform Based MIMO Systems: Iterative Equalization, Evolution Analysis, and precoder Optimization

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2014年第9期13卷 5237-5250页

作者： Yuan, Xiaojun Ma, Junjie Ping, Li ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 200031 Peoples R China City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China

In this paper, we develop a novel iterative equalization algorithm for energy-spreading-transform (EST) based multiple-input multiple-output (MIMO) systems. We show that the proposed scheme significantly outperforms the existing non-linear MIMO equalizers in various system setups. We further investigate the precoder design based on the signal-to-interference-plus-noise-ratio (SINR) variance evolution technique, so as to exploit the available channel state information at the transmitter (CSIT). We derive the optimal precoding directions, and show that the precoder optimization then boils down to a simple power allocation problem that is solvable using convex programming. Numerical results demonstrate that the optimized precoder can achieve a significant power gain, as compared with the non-optimized scheme.

关键词： Energy spreading transform MIMO iterative equalization SINR-variance transfer chart precoder design

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Superimposed Training designs for Spatially Correlated MIMO-OFDM Systems

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2010年第3期9卷 876-880页

作者： Tran, Nguyen N. Tuan, Hoang D. Nguyen, Ha H. Univ New S Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Univ Saskatchewan Dept Elect & Comp Engn Saskatoon SK S7N 5A9 Canada

Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design.

关键词： MIMO OFDM spatial correlation channel estimation training signal design precoder design superimposed training

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Closed-form interference alignment with heterogeneous degrees of freedom

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High Technology Letters 2017年第2期23卷 173-178页

作者：杨秀梅 Wang Jiang Wang Rui Zhou Ting Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 P. R. China Shanghai Research Center for Wireless Communications Shanghai 201210 P. R. China

Interference alignment(IA) has been recognized as a promising technique for obtaining the optimal degrees of freedom(DOF) in interference networks.A closed-form interference alignment design is proposed for three-cell uplink transmissions with heterogeneous *** exploiting the heterogeneity of DOFs from different transmission links,full or partial interference alignment precoders are calculated at each base station(BS).Aided by information exchange among BSs,the precoders can be finally obtained for all transmission *** to existing IA methods,the proposed scheme has a closed-form ***,there is no need to go through the iterative adaptation or jointly calculate the precoder and the *** results show that the proposed design is able to achieve the optimal DOF performance with the advantage of perfect alignment capabilities.

关键词： interference alignment(IA) heterogeneous DOFs precoder design

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Pre-coder design over two-symbol extension for K-user cyclic interference channels

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JOURNAL OF ENGINEERING-JOE 2014年第12期2014卷 688-690页

作者： Chae, Hyukjin Jang, Jinyoung Kim, Dongku LG Elect Seoul South Korea Yonsei Univ Seoul South Korea

The authors consider K-user cyclic single-input-single-output (SISO) interference channel (IC) where each receiver is interfered with from only one neighbouring transmitter. In the K-user cyclic SISO IC, K/2 sum degrees of freedom can be achieved when twosymbol extension is applied even without channel state information at the transmitter. They derive an approximation of the ergodic sum rate as a function of pre-coders and propose designs of pre-coders to maximise the ergodic sum rate.

关键词： precoding channel coding radiofrequency interference wireless channels K-user cyclic interference channels ergodic sum rate maximization ergodic sum rate approximation degrees of freedom K-user cyclic SISO IC receiver transmitter two-symbol extension precoder design

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Broad Coverage Precoding for Massive MIMO with Alternating Projections

Broad Coverage Precoding for Massive MIMO with Alternating P...

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IEEE Global Conference on Communications (GLOBECOM) / Workshop on Wireless Networking and Control for UAV

作者： Guo, Weiran Lu, An-An Meng, Xin Gao, Xiqi Ma, Ni Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Huawei Technol Co Ltd Shanghai 201206 Peoples R China

ISBN: (纸本)9781538647271

In this paper, we design the precoding matrix with broad coverage for massive multi-input multi-output (MIMO) public channels. To sufficiently utilize the power amplifier (PA) capacity of the base station (BS), all the rows of the precoding matrix should have the same 2-norm to guarantee equal transmit power on each antenna. In the meanwhile, the precoding matrix is semi-unitary, which can maximize the achievable ergodic rate for the independent and identically distributed (i.i.d.) channel. Within the framework of manifold optimization, the precoding matrix design under the above two constraints becomes an optimization problem over the intersection of the oblique manifold and the Stiefel manifold. We propose to use the steepest descent method on the intersection of these two manifolds to obtain the optimal solution. By using the alternating projections method, the search direction of the steepest descent method is derived. In the meanwhile, the convergence analysis for the proposed approach is also provided. Simulation results show that the power pattern of our designed precoder has less variation in different spatial directions within the cell compared with the existing schemes.

关键词： massive MIMO broad coverage precoder design manifold optimization

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MIMO Radar Privacy Protection Through Gradient Enforcement in Shared Spectrum Scenarios

MIMO Radar Privacy Protection Through Gradient Enforcement i...

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IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

作者： Al Hilli, Ahmed Petropulu, Athina Psounis, Konstantinos Al Furat Al Awsat Tech Univ Engn Tech Coll Al Najaf Najaf Iraq Rutgers State Univ ECE Dept Piscataway NJ USA Univ Southern Calif ECE Dept Los Angeles CA 90007 USA

ISBN: (纸本)9781728123769

Spectrum sharing between radar and cellular communication systems has been proposed by spectrum regulatory agencies for achieving more efficient use of spectrum. Enabling such sharing requires strategies that control the interference between the two systems. A cooperative approach for spectrum sharing between a MIMO radar and a MIMO communication system has been recently proposed, in which, cooperation is supervised by a controller, who collects information from both system and designs a precoding scheme for the communication system so that it interferes minimally with the radar. However, the precoding matrix contains implicit information about the radar, and could be used by an adversary to violate the radar's privacy. In this paper, we show how the radar angle with respect to the communication unit can be estimated based on the precoding matrix. We also propose a precoder design approach considering the trade off between the interference power and radar privacy. The proposed approach obfuscates the radar location at the cost of a slight increase in the interference power to the radar.

关键词： MIMO radar spectrum sharing precoder design radar privacy

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Online design of precoders for High Dimensional Signal Detection in Wireless Sensor Networks 21

Online Design of Precoders for High Dimensional Signal Detec...

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21st International Conference on Information Fusion (FUSION)

作者： Khanduri, Prashant Theagarajan, Lakshmi Narasimhan Varshney, Pramod K. Syracuse Univ Dept EECS Syracuse NY 13244 USA Indian Inst Technol Palakkad Dept EE Palakkad 678557 Kerala India

ISBN: (纸本)9780996452762

In this paper, we present an efficient methodology to design precoders for distributed detection of unknown high dimensional signals. We consider a wireless sensor network, where several distributed sensors collaborate to perform binary hypothesis testing based on observations of an unknown high dimensional signal corrupted by noise. The sensors collect data over both temporal and spatial domains. Due to network resource constraints, each sensor performs a linear compression (through precoding) of the observed high dimensional signal at each time instant and forwards the compressed signal to the fusion center (FC). The FC then employs the generalized likelihood ratio test (GLRT) to make a decision on the presence or absence of the signal. We propose online linear precoding/compression strategies for such sensors that collect data over spatio-temporal domain, so that the detection performance at the FC is maximized under certain network resource constraints. Through the measure of non-centrality parameter and receiver operating characteristics (ROC), we show that our proposed precoder design achieves very good detection performance.

关键词： Wireless sensor networks spatio-temporal data information fusion distributed detection precoder design

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