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Semi-Blind Receivers for Non-Regenerative Cooperative MIMO Communications Based on Nested PARAFAC Modeling

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年第18期63卷 4985-4998页

作者： Ximenes, Leandro R. Favier, Gerard de Almeida, Andre L. F. Wireless Telecom Research Group Federal University of Ceará Fortaleza Brazil CNRS University of Nice-Sophia Antipolis (UNS) France

In cooperative communication systems, multiple- input multiple-output (MIMO) amplify-and-forward (AF) relaying is a promising solution for upcoming wireless standards due to its intrinsic benefits in terms of extended coverage and increased spatial diversity. However, the deployment of MIMO AF relays faces some key challenges such as the need of channel state information (CSI) for the partial channels associated with the different communication links, which is required by some transmit optimization techniques. In this paper, we consider a one-way two-hop MIMO AF cooperative scheme employing space-time (ST) codings at the transmitter and relay nodes. First, we formulate a nested PARAFAC model for the tensor of signals received at destination. A theoretical study on the identifiability and uniqueness issues for the nested PARAFAC model is also carried out. Then, two iterative semi-blind receivers that exploit differently the algebraic properties of this model are formulated for a joint channel and symbol estimation at the destination. Uniqueness and least squares identifiability conditions are derived for these receivers, and their computational complexities are analyzed. Simulation results evaluate the bit error rate and the channel estimation accuracy obtained with the proposed semi-blind receivers, corroborating the performance improvements over recent semi-blind and supervised competitors, thanks to the use of a double Khatri-Rao coding associated with the source and relay nodes.

关键词： Channel estimation cooperative communications MIMO relays nested PARAFAC semi-blind receivers space-time coding symbol estimation

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Design Guidelines for Spatial Modulation

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IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 2015年第1期17卷 6-26页

作者： Yang, Ping Di Renzo, Marco Xiao, Yue Li, Shaoqian Hanzo, Lajos Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Peoples R China Univ Paris 11 French Natl Ctr Sci Res CNRS L2S F-91192 Gif Sur Yvette France Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

A new class of low-complexity, yet energy-efficient Multiple-Input Multiple-Output (MIMO) transmission techniques, namely, the family of Spatial Modulation (SM) aided MIMOs (SM-MIMO), has emerged. These systems are capable of exploiting the spatial dimensions (i.e., the antenna indices) as an additional dimension invoked for transmitting information, apart from the traditional Amplitude and Phase Modulation (APM). SM is capable of efficiently operating in diverse MIMO configurations in the context of future communication systems. It constitutes a promising transmission candidate for large-scale MIMO design and for the indoor optical wireless communication while relying on a single-Radio Frequency (RF) chain. Moreover, SM may be also viewed as an entirely new hybrid modulation scheme, which is still in its infancy. This paper aims for providing a general survey of the SM design framework as well as of its intrinsic limits. In particular, we focus our attention on the associated transceiver design, on spatial constellation optimization, on link adaptation techniques, on distributed/cooperative protocol design issues, and on their meritorious variants.

关键词： Cooperative communications large-scale MIMO link adaptation space-time coding spatial modulation

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Power Control for space-time-Coded MIMO Systems With Imperfect Feedback Over Joint Transmit-Receive-Correlated Channel

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2015年第6期64卷 2489-2501页

作者： Yu, Xiangbin Leung, Shu-Hung Wu, Binbin Rui, Yun Xu, Da-zhuan Kuang, Quan Nanjing Univ Aeronaut & Astronaut Nanjing 210016 Jiangsu Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China City Univ Hong Kong State Key Lab Millimeter Waves Kowloon Hong Kong Peoples R China Chinese Acad Sci Shanghai Adv Res Inst Shanghai 201210 Peoples R China Univ Stuttgart D-70174 Stuttgart Germany

In this paper, power adaptation strategies for minimizing bit error rate (BER) subject to an average power constraint for orthogonal space-time-coded multiple-input-multiple-output (MIMO) systems with mean and covariance feedback over joint transmit-receive-correlated channels are presented. We first develop an optimal spatial-only power control (PC) based on an approximated BER bound, which can include the mean feedback only and covariance feedback only as special cases. Using a newly defined fuzzy signal-to-noise ratio (FSNR) criterion, a suboptimal spatial PC scheme with a closed-form expression is derived. This FSNR-based power adaptation not only has less computational complexity but has a BER performance close to that of the optimal spatial-only PC scheme as well. Second, the degrees of freedom in temporal and spatial domains are exploited to derive a joint spatiotemporal PC (S-T-PC) with the use of the FSNR strategy to minimize the average BER subject to a long-term average power constraint with mean and covariance feedback. Simulation results show that the proposed two spatial-only PC schemes can provide a BER lower than that of equal power allocation and have almost the same performance as the existing spatial-only optimal scheme but with lower computational complexity. Moreover, they outperform the PC schemes with mean or covariance feedback only. Most importantly, the new joint S-T-PC scheme substantially outperforms all the spatial-only PC schemes.

关键词： Covariance feedback mean feedback multiple-input-multiple-output (MIMO) space-time coding spatial correlation spatial-temporal power control (PC)

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A Low Detection Complexity of Multiple Antenna Two-way Collaboration Communication Transmission Scheme 3

A Low Detection Complexity of Multiple Antenna Two-way Colla...

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3rd IEEE International Conference on Progress in Informatcs and Computing (IEEE PIC)

作者： Li, Xiaohui Li, Lei Zhang, Hongwei Fang, Hongyu Anhui Univ Sch Elect Informat Engn Hefei Anhui Peoples R China

ISBN: (纸本)9781467390880

MIMO systems transmit signals by multiple antennas at the terminals, thus, to get spatial diversity gain and improve system capacity dramatically. Compared with single MIMO systems, the distributed MIMO system has higher coverage and larger capacity. MIMO systems using the joint coding technique through the full diversity of the space-time code can not only obtain the full diversity gain, but also improve spectrum efficiency effectively. But the detection complexity is high at the receiving terminal and information interference exists when transferring between antennas. space-time coding can reduce the information interference between antennas and obtain diversity gain without sacrificing the bandwidth. The cyclic delay methods can effectively reduce the detection complexity. We present a high rate of distributed cooperative MIMO transmission scheme combining with space-time coding technique and cyclic delay technology. The transmitting terminal sends message to the relay nodes. Meanwhile, the source through the direct channel broadcasts information to all terminals. After the space-time coding, the received information at relay nodes is sent to the transmitters using cyclic delay method and amplifying forwarding (AF) method. This program applies to scene of both the communication source node and relay nodes all configured with multiple antennas. And the simulation results show that this two-way scheme we proposed can significantly improve the diversity gain and the total transmission rate, and enlarge the coverage of wireless network.

关键词： distributed cooperative MIMO two-way cyclic delay diversity space-time coding low detection complexity

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Analysis of Joint Transmit-Receive Diversity in Downlink MIMO Heterogeneous Cellular Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2015年第12期14卷 6695-6709页

作者： Tanbourgi, Ralph Dhillon, Harpreet S. Jondral, Friedrich K. Karlsruhe Inst Technol Commun Engn Lab D-76128 Karlsruhe Germany Virginia Polytech Inst & State Univ Dept Elect & Comp Engn Wireless Virginia Tech Blacksburg VA 24061 USA

We study multiple-input-multiple-output (MIMO)based downlink heterogeneous cellular networks (HetNets) with joint transmit-receive diversity using orthogonal space-time block coding at the base stations (BSs) and maximal-ratio combining (MRC) at the users. MIMO diversity with MRC receivers is particularly appealing in cellular networks due to the relatively low hardware complexity at both the BS and the user device. Using stochastic geometry, we develop a tractable stochastic model for analyzing such HetNets taking into account the irregular and multitier BS deployment. We derive the coverage probability for both interference-blind (IB) and interference-aware (IA) MRC as a function of the relevant tier-specific system parameters such as BS density and transmit (Tx) power, number of Tx antennas, and path-loss law. Important insights arising from our analysis for typical HetNets are as follows: 1) IA-MRC becomes less favorable than IB-MRC with Tx diversity due to the smaller interference variance and increased interference correlation across receive (Rx) antennas;2) ignoring spatial interference correlation significantly overestimates the performance of IA-MRC;and 3) for a small number of Rx antennas, selection combining may offer a better performance-complexity tradeoff than MRC.

关键词： MIMO space-time coding maximal-ratio combining coverage probability Poisson point process

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Study of various space time codes for MIMO systems

Study of various space time codes for MIMO systems

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2015 IEEE International Conference on Computational Intelligence & Communication Technology (CICT 2015)

作者： Singh, Garima Kumar, Arvind Natl Inst Technol Dept ECE Kurukshetra 136119 Haryana India

ISBN: (纸本)9781479960224

In this paper, a comparative analysis of various space time codes that are used in multiple input multiple output (MIMO) systems to achieve high data rate at high quality of service is presented. MIMO systems are analyzed under fading environment and their performance in terms of diversity gain, data rate, detection complexity, size of signal constellations, bit error rate, coding gain and peak -to-average power ratio is evaluated.

关键词： Diversity detection complexity fading MIMO systems peak-to-average power space-time coding spatial multiplexing

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Multicast MIMO Enhancement for V2X over LTE

Multicast MIMO Enhancement for V2X over LTE

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IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)

作者： Khina, Anatoly Philosof, Tal Laifenfeld, Moshe Gen Motors Res & Dev IL-46733 Herzliyya Israel

ISBN: (纸本)9781479974733

Motivated by recent interest in vehicle-to-vehicle/infrastructure/pedestrian (V2X) communication over the fourth generation of the Long-Term Evolution (LTE) cellular standard, we study the efficiency of the Multimedia Broadcast Multicast Services (MBMS), a key enabler for V2X communication, which currently employs only single antenna transmission. We show that by utilizing more transmit antennas at the base station - which are already used for point-to-point communications - and simple space-time coding (STC) techniques, a significant boost in performance can be achieved. To this end, we evaluate the performance of different transmission strategies along with the information theoretic optimal performance. For a fast Rayleigh fading channel, we show that a gain of 1 bit/sec/Hz is achieved for a signal-to-noise ratio of 10dB, and higher gains for higher signal-to-noise-ratios for for an outage probability of 0.01. Moreover, we demonstrate that Alamouti STC is near optimum for typical signal-to-noise ratios. However, for more antennas, due to the inherent loss of multiplexing of orthogonal STC schemes, non-orthogonal STC schemes with higher multiplexing need to be considered.

关键词： Physical-Iayer multicast common-message broadcast space-time coding MBMS MIMO V2X V2V

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Implementation of Transmit Diversity Schemes in Physical Broadcast Channel (PBCH) for LTE

Implementation of Transmit Diversity Schemes in Physical Bro...

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IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

作者： Parvez, Shaik Reddy, D. Gowri Sankar Sri Venkateswara Univ Coll Engn Tirupati Andhra Pradesh India

ISBN: (纸本)9781467398251

LTE has been developed for low latencies, high data rates and greater spectral efficiency. To provide best quality signal in LTE in Downlink, the diversity schemes are employed that too space diversity schemes most widely used. In space diversity schemes transmit diversity is preferred over the receiver diversity schemes. In this paper data is generated in accord with 3GPP standards and it is transmitted by employing both transmit diversity and receiver diversity and the performance is examined with respect to the data received. For receiver diversity maximal ratio receiver combining is used and for transmit diversity space frequency block coding is used.

关键词： transmit diversity receiver diversity channel estimation and detection fade mitigation Rayleigh fading channel maximal ratio combining space frequency block coding space-time coding OFDM 3GPP standards Autocorrelation function frequency selective fading flat fading slow and fast fading Euclidean distance Intersymbol Interference

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space-time Code Selection Using Channel Prediction

Space-Time Code Selection Using Channel Prediction

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2015 Asia-Pacific Conference on Computer Aided System Engineering

作者： Mavares, Dimas T. Velasquez, Reinaldo Candotti, Keila Huerta, Monica Univ Nacl Politecn Antonio Jose de Sucre UNEXPO Barquisimeto Venezuela Univ Carabobo Valencia Venezuela Univ Politecn Salesiana Cuenca Ecuador SENECYT Prometeo Project Quito Ecuador

ISBN: (纸本)9781479975884

A channel prediction based space-time code selection technique for multiple input-single output systems is proposed. This transmit antenna diversity technique selects both the space-time code and the number of transmitter antennas using estimated and predicted channel state information. Linear channel prediction, designed to be optimal in the mean-square sense, has been used. Simulation results show that the proposed technique achieve SNR gains up to 2dB at high SNRs and high mobile speed.(1)

关键词： space-time coding transmit diversity channel prediction MIMO

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Downlink MIMO Diversity with Maximal-Ratio Combining in Heterogeneous Cellular Networks

Downlink MIMO Diversity with Maximal-Ratio Combining in Hete...

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IEEE International Conference on Communications (ICC)

作者： Tanbourgi, Ralph Jondral, Friedrich K. Karlsruhe Inst Technol Commun Engn Lab D-76021 Karlsruhe Germany

ISBN: (纸本)9781467364324

We present a stochastic model for analyzing the performance of multiple-input multiple-output (MIMO) diversity in a downlink heterogeneous cellular network. Multi-antenna receivers are assumed to perform maximal-ratio combining (MRC). We consider interference-blind (IB) MRC and interference-aware (IA) MRC, where the latter takes the interference power at each antenna into account. Using tools from stochastic geometry, we derive the coverage probability for both types of MRC as a function of various tier-specific system parameters, including the number of base station transmit antennas in each tier. The model is then used to compare the performance of IB-MRC and IA-MRC. One important insight is that IA-MRC becomes less favorable than IB-MRC in a transmit-diversity system due to a larger interference correlation across receive antennas.

关键词： MIMO space-time coding maximal-ratio combining coverage probability Poisson point process

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