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Embedded space-time codes for multiple-input-multiple-output systems in Rayleigh fading

IET COMMUNICATIONS 2015年第13期9卷 1615-1618页

作者： Norouzi, Mandana Wu, Yuteng Attang, Edidiong Ellis, Robert B. Atkin, Guillermo IIT Dept Elect & Comp Engn Chicago IL 60616 USA IIT Dept Appl Math Chicago IL 60616 USA

In this study, novel designs of embedded space-time multiplexing codes are presented. The space-time codes are constructed initially based on the decomposition of normal matrices that produce diagonal structures. The eigenvalue decomposition of circulant matrices, a type of normal matrices, can generate these codes. A key constraint in the design is that only the diagonal matrices are function of data. Since the components of the diagonal matrix are linear combinations of the data, the codes are called embedded. These codes provide an embedded diversity, full rate and enable multi-user applications with reduced interference. Later constructions in Galois fields are used to reduce the constellations expansion introduced by the dependency of the eigenvalues of the diagonal matrix to the data. The pairwise error probability for the codes is derived. Performance of the codes based on simulation and theoretical analysis, are compared with the conventional spatial-multiplexing codes and other complex orthogonal designs. Simulation results demonstrate the advantage of the proposed codes. Simulation has been done for Rayleigh-fading channels with known channel-state information.

关键词： space-time codes Rayleigh channels Galois fields matrix algebra MIMO communication embedded space-time multiplexing codes multiple-input-multiple-output systems Rayleigh fading channel normal matrices diagonal structures eigenvalue decomposition circulant matrices Galois fields pairwise error probability complex orthogonal designs

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Performance analysis of multi-antenna selection policies using the golden code in multiple-input multiple-output systems

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IET COMMUNICATIONS 2014年第12期8卷 2147-2152页

作者： Ge, Lu Chen, Gaojie Gong, Yu Chambers, Jonathon Univ Loughborough Adv Signal Proc Grp Commun Div Sch Elect Elect & Syst Engn Loughborough Leics England

In multiple-input multiple-output (MIMO) systems, multiple-antenna selection has been proposed as a practical scheme for improving the signal transmission quality as well as reducing realisation cost because of minimising the number of radio-frequency chains. In this study, the authors investigate transmit antenna selection for MIMO systems with the Golden Code. Two antenna selection schemes are considered: max-min and max-sum approaches. The outage and pairwise error probability performance of the proposed approaches are analysed. Simulations are also given to verify the analysis. The results show the proposed methods provide useful schemes for antenna selection.

关键词： MIMO communication transmitting antennas cost reduction Gold codes error statistics multiantenna selection policies golden code multiple-input-multiple-output systems MIMO systems multiple-antenna selection signal transmission quality improvement cost reduction radio-frequency chains transmitting antenna selection error probability

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Quarter cylindrical dielectric resonator antenna with circular polarisation for wideband MIMO systems

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ELECTRONICS LETTERS 2020年第4期56卷 174-175页

作者： Belazzoug, M. Messaoudene, I. Aidel, S. Denidni, T. A. Kishk, A. A. Univ Bordj Bou Arreridj Lab Elect & Telecommun Avancees Bordj Bou Arreridj Algeria Inst Natl Rech Sci Montreal PQ H5A1C6 Canada Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada Ecole Natl Super Informat ESI Ex INI BP 68M Algiers Algeria

In this Letter, a quarter cylindrical dielectric resonator antenna (Q-CDRA) with a low profile and circular polarisation (CP) is presented for wideband and multiple-input-multiple-output (MIMO) systems. The approach used to obtain a reduced wideband CP antenna is realised by deforming the geometry of the CDR to a quarter cylinder and using a quasi-spiral feedline to excite two resonant modes in phase quadrature (HEM(11)and HEM12). The proposed design exhibits a wide-impedance bandwidth (BW) of 34% (4.4-6.2 GHz) with a low measured coupling level<-15 dB, and an axial ratio BW of 24.4% (4.5-5.75 GHz). The antenna gain is stable through the operating BW with a gain peak of 6.4 dBi. In addition, the antenna has a low cross-polarisation in the boresight direction with low envelope correlation coefficient<0.03. The presented design is suitable for RHCP WLAN applications.

关键词： MIMO communication microstrip antennas antenna feeds microwave antennas antenna radiation patterns wireless LAN dielectric resonator antennas electromagnetic wave polarisation broadband antennas quarter cylindrical dielectric resonator antenna circular polarisation wideband MIMO systems multiple-input-multiple-output systems reduced wideband CP antenna resonant modes low measured coupling level antenna gain low cross-polarisation quasi-spiral feedline phase quadrature boresight direction RHCP WLAN applications frequency 4 4 GHz to 6 2 GHz frequency 4 5 GHz to 5 75 GHz

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PCI-MF: Partial Canonical Identity and Matrix Factorization Framework for Channel Estimation in mmWave Massive MIMO systems

IEEE OPEN JOURNAL OF SIGNAL PROCESSING

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IEEE OPEN JOURNAL OF SIGNAL PROCESSING 2020年 1卷 135-145页

作者： Jain, Neha Bohara, Vivek Ashok Gupta, Anubha Indraprastha Inst Informat Technol Dept Elect & Commun Engn IIIT D New Delhi 110020 India Wirocomm Res Grp Delhi 110020 India Signal Proc & Biomed Imaging Lab SBILab Delhi 110020 India

Beamforming using massive number of antennas in millimeter wave (mmWave) communication is a promising solution for providing gigabits-per-second data rates in cellular networks. However, perfect channel state information (CSI) estimation is a key requirement, which is not practically feasible in massive multiple-input-multiple-output (MIMO) systems. Hence, compressive sensing (CS) and matrix completion methods have been proposed in the literature to reduce the channel estimation overhead. In this paper, a novel method utilizing partial canonical identity (PCI) based CS and matrix factorization (MF) framework, henceforth termed as PCI-MF, has been proposed to recover complete mmWave CSI by estimating only a few channel coefficients. Specifically, a few estimated noisy channel coefficients are represented as a combination of PCI and discrete Fourier transform (DFT) matrix in a CS framework to recover the sparsest solution of the channel matrix. This framework exploits the fact that both PCI and DFT matrices are highly incoherent. The sparse matrix determined above has been used to recover the rank of the channel matrix. The knowledge of the rank, along with the sparse coefficients recovered above, have been used jointly in a matrix factorization framework to recover the actual channel matrix. PCI-MF has been compared with the conventional and the state-of-the-art methods for two different datasets by varying parameters such as the number of transmitting and receiving antennas, antenna configuration, signal-to-noise ratio and measurement ratio. In order to validate the proposed method for realistic applications, one dataset is generated in a real-world setting in the New York City.

关键词： Millimeter wave beamforming multiple-input-multiple-output systems partial canonical identity matrix discrete Fourier transform matrix factorization

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Study on isolation improvement between closely-packed patch antenna arrays based on fractal metamaterial electromagnetic bandgap structures

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IET MICROWAVES ANTENNAS & PROPAGATION 2018年第14期12卷 2241-2247页

作者： Alibakhshikenari, Mohammad Virdee, Bal S. See, Chan H. Abd-Alhameed, Raed Ali, Ammar Hussein Falcone, Francisco Limiti, Ernesto Univ Roma Tor Vergata Dept Elect Engn Via Politecn 1 I-00133 Rome Italy London Metropolitan Univ Ctr Commun Technol Sch Comp & Digital Media London N7 8DB England Univ Bolton Sch Engn Dept Deane Rd Bolton BL3 5AB England Univ Bradford Sch Elect Engn & Comp Sci Bradford BD7 1DP W Yorkshire England Univ Publ Navarra Elect & Elect Engn Dept Navarra 31006 Spain

A decoupling metamaterial (MTM) configuration based on fractal electromagnetic-bandgap (EMBG) structure is shown to significantly enhance isolation between transmitting and receiving antenna elements in a closely-packed patch antenna array. The MTM-EMBG structure is cross-shaped assembly with fractal-shaped slots etched in each arm of the cross. The fractals are composed of four interconnected-Y-shaped' slots that are separated with an inverted-T-shaped' slot. The MTM-EMBG structure is placed between the individual patch antennas in a 2x2 antenna array. Measured results show the average inter-element isolation improvement in the frequency band of interest is 17, 37 and 17dB between radiation elements #1 & #2, #1 & #3, and #1 & #4, respectively. With the proposed method there is no need for using metallic-via-holes. The proposed array covers the frequency range of 8-9.25GHz for X-band applications, which corresponds to a fractional-bandwidth of 14.5%. With the proposed method the edge-to-edge gap between adjacent antenna elements can be reduced to 0.5(0) with no degradation in the antenna array's radiation gain pattern. Across the array's operating band, the measured gain varies between 4 and 7dBi, and the radiation efficiency varies from 74.22 and 88.71%. The proposed method is applicable in the implementation of closely-packed patch antenna arrays used in SAR and MIMO systems.

关键词： energy gap microstrip antenna arrays fractal antennas metamaterial antennas microwave metamaterials antenna radiation patterns slot antenna arrays transmitting antennas receiving antennas average interelement isolation improvement closely-packed patch antenna arrays fractal metamaterial electromagnetic bandgap structures decoupling metamaterial configuration decoupling MTM configuration transmitting antenna elements receiving antenna elements MTM-EMBG structure cross-shaped assembly fractal-shaped slots interconnected-Y-shaped slots inverted-T-shaped slot radiation gain pattern radiation efficiency measured gain synthetic aperture radar multiple-input-multiple-output systems frequency 8 GHz to 9 25 GHz efficiency 74 22 percent efficiency 88 71 percent

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Adaptive iterative learning reliable control for a class of non-linearly parameterised systems with unknown state delays and input saturation

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IET CONTROL THEORY AND APPLICATIONS 2016年第17期10卷 2160-2174页

作者： Ji, Honghai Hou, Zhongsheng Fan, Lingling Lewis, Frank L. Beijing Jiaotong Univ Adv Control Syst Lab Beijing 100044 Peoples R China Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Univ Texas Arlington UTA Res Inst Ft Worth TX USA Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Peoples R China

An adaptive iterative learning reliable control (AILRC) strategy is developed in this study for a class of non-linearly parameterised systems subject to unknown time-varying state delays and input saturation as well as actuator faults. In regard to non-linearly parameterised uncertainties, not only the non-linearly parameterised controlled object, but also the non-linearly parameterised input distribution matrix is investigated in this technical note. Without the need for precise system parameters or analytically estimating bound on actuator faults variables, the novel data-driven AILRC is constructed by a non-linear feedback term and a robust term. The non-linear influence brought by actuator faults, input saturation and state delays can be compensated with the resultant algorithms. It is shown that the L-[0,T](2) convergence of single-input-single-output and multiple-input-multiple-output systems is proved through a new time-weighted Lyapunov-Krasovskii-like composite energy function. The validity of the proposed AILRC is further verified by simulation.

关键词： nonlinear control systems iterative learning control adaptive control uncertain systems time-varying systems delays actuators fault tolerant control matrix algebra convergence MIMO systems Lyapunov methods adaptive iterative learning reliable control unknown time-varying state delays input saturation nonlinearly parameterised uncertainties actuator faults variables distribution matrix data-driven AILRC feedback term robust term convergence single-input-single-output systems multiple-input-multiple-output systems MIMO systems time-weighted Lyapunov-Krasovskii-like composite energy function

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Dual-Layered MIMO Transmission for Increased Bandwidth Efficiency

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2016年第5期65卷 3139-3149页

作者： Masouros, Christos Hanzo, Lajos UCL Dept Elect & Elect Engn London WC1E 7JE England Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

A dual-layered downlink transmission scheme is proposed for intrinsically amalgamating multiple-input-multiple-output (MIMO) spatial multiplexing (SMX) with spatial modulation (SM). The proposed scheme employs a classic SMX transmission that is known to offer superior bandwidth efficiency (BE) compared with SM. We exploit receive-antenna-based SM (RSM) on top of this transmission as an enhancement of the BE. The RSM here is applied to the combined spatial and power-level domain not by activating and deactivating the RAs but rather by choosing between two power levels {P-1, P-2} for the received symbols in these antennas. In other words, the combination of symbols received at a power level P-1 carries information in the spatial domain in the same manner as the combination of nonzero elements in the receive symbol vector carries information in the RSM transmission. This allows for the coexistence of RSM with SMX, and the results show increased BE for the proposed scheme compared with both SMX and SM. To characterize the proposed scheme, we carry out a mathematical analysis of its performance, and we use this to optimize the ratio between P-1 and P-2 for attaining the minimum error rates. Our analytical and simulation results demonstrate significant BE gains for the proposed scheme compared with conventional SMX and SM.

关键词： multiple-input-multiple-output systems spatial modulation (SM) spatial multiplexing (SMX) transmit precoding (TPC)

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Bandwidth Efficient Spatial Modulation by Signalling in the Power Domain

Bandwidth Efficient Spatial Modulation by Signalling in the ...

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IEEE International Conference on Communications (ICC)

作者： Masouros, Christos Hanzo, Lajos UCL Dept Elect & Elect Engn London WC1E 6BT England Univ Southampton Sch Elect & Comp Sci Southampton SO9 5NH Hants England

ISBN: (纸本)9781479966646

We explore a bandwidth efficient transmission scheme that amalgamates multiple-input-multiple-output spatial multiplexing (SMX) with receive antenna based spatial modulation (RSM). The RSM here is applied to the combined spatial and power-level domain, not by activating and de-activating the receive antennas, but rather by choosing between two power levels {P-1, P-2} for the received symbols in these antennas, such that all receive antennas are active and SMX can still be accommodated. This allows for the coexistence of RSM with SMX and the results show an increased bandwidth efficiency for the proposed scheme compared to both SMX and RSM. We further carry out a mathematical analysis to optimize the ratio between P1 and P2 for attaining the minimum error rates. Our analytical and simulation results demonstrate significant bandwidth efficiency gains for the proposed scheme compared to conventional SMX and RSM.

关键词： Spatial modulation spatial multiplexing multiple-input-multiple-output systems transmit precoding

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Low-complexity soft-interference cancellation turbo equalisation for multi-input-multi-output systems with multilevel modulations

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IET COMMUNICATIONS 2015年第5期9卷 728-735页

作者： Wu, Jingxian Wang, Longbao Xiao, Chengshan Univ Arkansas Dept Elect Engn Fayetteville AR 72701 USA Missouri Univ Sci & Technol Dept Elect Comp Engn Rolla MO 65409 USA

This study presents a low-complexity soft-interference cancellation equaliser (SICE) for the turbo detection of multiple-input-multiple-output systems operating in time dispersive channels. The SICE contains three time-invariant linear filters: a feedforward filter, a causal feedback filter and an anti-causal feedback filter. The feedforward filter is designed to suppress the intersymbol interference because of channel time dispersion and the multiplexing interference from multiple transmit antennas. The causal (or anti-causal) feedback filter is developed to remove the residual interference caused by the symbols transmitted before (or after) the symbol under detection. The filters are designed by analysing the statistical properties of soft decisions. The performance of the proposed SICE is verified through both extrinsic information transfer (EXIT) chart analysis and computer simulations. The EXIT chart analysis shows that, because of the inclusion of the anti-causal soft decision, the SICE performance approaches the ideal matched filter bound as the iteration progresses. Consequently, the proposed SICE achieves significant performance gains over conventional equalisers.

关键词： interference suppression MIMO communication intersymbol interference transmitting antennas multilevel modulations low-complexity soft-interference cancellation equaliser turbo detection multiple-input-multiple-output systems time dispersive channels time-invariant linear filters feedforward filter anti-causal feedback filter intersymbol interference channel time dispersion multiplexing interference transmit antennas extrinsic information transfer chart analysis computer simulations

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ELECTRONICS LETTERS 2015年第7期51卷 587-588页

作者： Shen, Wenqian Dai, Linglong Gao, Zhen Wang, Zhaocheng Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

Downlink channel estimation with low pilot overhead is an important and challenging problem in massive multiple-input-multiple-output (MIMO) systems due to the substantially increased MIMO channel dimension. A block iterative support detection (block-ISD)-based algorithm for down-link channel estimation to reduce the pilot overhead is proposed, which is achieved by fully exploiting the block sparsity inherent in the block-sparse equivalent channel derived from the spatial correlations of MIMO channels. Furthermore, unlike conventional compressive sensing (CS) algorithms that rely on prior knowledge of the sparsity level, block-ISD relaxes this demanding requirement and is thus more practically appealing. Simulation results demonstrate that block-ISD yields better normalised mean square error (NMSE) performance than classical CS algorithms, and achieve a reduction of 84% pilot overhead compared with conventional channel estimation techniques.

关键词： MIMO communication channel estimation iterative methods mean square error methods CS algorithms NMSE performance better normalised mean square error performance block iterative support detection block sparsity block-ISD-based algorithm block-sparse equivalent channel downlink channel estimation large-scale MIMO systems low pilot overhead multiple-input-multiple-output systems spatially correlated channel estimation

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