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Performance of Precoded Integer-Forcing for Closed-Loop MIMO Multicast

Performance of Precoded Integer-Forcing for Closed-Loop MIMO...

引用

IEEE Information Theory Workshop (ITW)

作者： Domanovitz, Elad Erez, Uri Tel Aviv Univ Dept EE Syst Tel Aviv Israel

ISBN: (纸本)9781479959990

The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It was further shown in [1], that this receiver architecture, when coupled with spacetime linear precoding is able to achieve the capacity of the openloop multiple-input multiple-output channel, up to a constant gap that depends only on the number of transmit antennas. The gap, however, is quite large and thus provides performance guarantees that are useful only for high values of capacity. In this work, we consider the problem of multicast over multiple-input multipleoutput channels to a modest number of users, and with space-only linear precoding. It is assumed that channel state information is available to the transmitter, allowing it to optimize the precoding matrix so as to maximize the achievable transmission rate. It is numerically demonstrated that this architecture allows to very closely approach the multicast capacity at all transmission rates regimes.

关键词： Gaussian channels MIMO communication equalisers multicast communication precoding space-time codes transmitting antennas channel state information closed-loop MIMO multicast equalization scheme linear code low-complexity scheme multicast capacity open-loop multiple-input multiple-output Gaussian channel precoded integer-forcing performance receiver architecture space-time linear precoding transmission rate maximization transmit antennas Covariance matrices MIMO Modulation Receiving antennas Signal to noise ratio Silicon carbide transmitting antennas prediction coding multiple input multiple output systems Equalizers Channel state information Receiving antennas signal to noise ratios Gaussian channels MIMO communication multicast communication space-time codes TRANSMISSION RATE SILICON CARBIDE Multicast variance covariance matrix

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PREcoding FOR SECRET KEY GENERATION IN MULTIPLE ANTENNA CHANNELS WITH STATISTICAL CHANNEL STATE INFORMATION

PRECODING FOR SECRET KEY GENERATION IN MULTIPLE ANTENNA CHAN...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Engelmann, Sabrina Wolf, Anne Jorswieck, Eduard A. Tech Univ Dresden Commun Lab Dept Elect Engn & Informat Technol Dresden Germany

ISBN: (纸本)9781479928934

In future wireless communication systems, more and more small low-power mobile devices will communicate without infrastructure and internet access. In order to provide a lightweight yet powerful security mechanism, physical layer parameters can be used to generate secret keys for perfect secrecy. In this paper, we study the optimal operation of a multiple antenna link with statistical channel state information at all nodes for secret key generation. The impact of spatial correlation on the achievable secret key rates is characterized. Furthermore, the optimal pilot precoding during channel estimation is computed. Numerical simulations illustrate the results for selected scenarios.

关键词： Channel state information secret key multiple antenna prediction coding perfect secrecy security mechanism Public internet access Wireless communication systems Optimal operation Mobile devices channel estimation

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Multi User Inter Cell Interference Alignment in Heterogeneous Cellular Networks 79

Multi User Inter Cell Interference Alignment in Heterogeneou...

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IEEE 79th Vehicular Technology Conference (VTC-Spring)

作者： Aziz, Danish Mazhar, Mustansir Weber, Andreas Alcatel Lucent Bell Labs Neu Isenburg Germany

ISBN: (纸本)9781479944828

We address the issue of interference in co-channel heterogeneous cellular networks where low-power pico cells are overlaid on high-power macro cells. Interestingly, unlike homogeneous networks, the co-channel heterogeneous networks exhibit special interference characteristics. This stems due to the transmit power mismatch in macro and pico layers. Interference alignment is one of the techniques that has been proposed to manage the interference in homogeneous macro cellular networks. Hence it is important to analyse the impact of power mismatch on interference alignment in the heterogeneous networks. For this purpose, we assess the performance of multi user inter cell interference alignment based transmit precoding scheme with different user selection methods in a heterogeneous network scenario. The results for pico cells show that the interference alignment based transmit precoding is well supported by the alignment based user selection method. Additionally, we compare the performance of alignment based transmit precoding with the state of the art non-alignment based precodings. We find that interference alignment is more robust to the power mismatch than its non-alignment based counterparts. This suggests that interference alignment can also be exploited as interference management scheme in co-channel heterogeneous networks.

关键词： cochannel interference multiuser channels picocellular radio precoding cochannel heterogeneous networks heterogeneous cellular networks interference management scheme macro cellular networks multiuser intercell interference pico cells transmit power mismatch transmit precoding scheme user selection methods Conferences Interference MIMO OFDM Receivers Standards Wireless communication Cochannel interference Cellular networks Heterogeneous networks prediction coding multiuser channels interference picocell CARRIER SYSTEM interference Receivers Orthogonal frequency division multiplexing multiple input multiple output systems Alignment

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A Cascaded Precoding Scheme for Two-Tier Heterogeneous Networks 6

A Cascaded Precoding Scheme for Two-Tier Heterogeneous Netwo...

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6th International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Guo, Shengjie Zhou, Xiangwei So Illinois Univ Dept Elect & Comp Engn Carbondale IL 62901 USA

ISBN: (纸本)9781479973392

In a two-tier heterogeneous network with shared spectrum, the cross-tier interference and co-tier interference significantly affect the network performance. In this paper, we investigate a cascaded precoding scheme in orthogonal frequency-division multiplexing systems to protect macro-cell user equipments (MUEs) from the interference caused by co-located small cells and at the same time to satisfy the quality-of-service (QoS) requirement of small-cell user equipments (SUEs). An outer precoder ensures that the signals intended for the SUEs are orthogonal to the MUEs thus avoids the cross-tier interference from the second tier. Moreover, optimal power allocation through an inner precoder at each small base station (SBS) yields better performance of the SUEs and guarantees their QoS requirement. Considering the dense deployment of SBSs, we further propose an SBS selection algorithm to reduce the computational complexity of our scheme. Simulation results demonstrate that the cascaded precoding structure is effective in mitigating the interference and enhancing the capacity of small cells.

关键词： Channel estimation Interference Optimization Quality of service Resource management Scattering Vectors Quality of service channel estimation management of resources interference Scattering prediction coding cascades interference Heterogeneous networks TWO-LAYER Orthogonal frequency division multiplexing

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Power Efficient Low Complexity Precoding for Massive MIMO Systems

Power Efficient Low Complexity Precoding for Massive MIMO Sy...

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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Sifaou, Houssem Kammoun, Abla Sanguinetti, Luca Debbah, Merouane Alouini, Mohamed-Slim King Abdullah Univ Sci & Technol Dept Elect Engn Thuwal Saudi Arabia Ecole Polytech Tunisie Signals & Syst Dept La Marsa Tunisia Univ Pisa Dipartimento Ingn Informaz Pisa Italy Ecole Super Elect Supelec Gif Sur Yvette France Huawei France R&D Math & Algorithm Sci Lab Paris France

ISBN: (纸本)9781479970889

This work aims at designing a low-complexity precoding technique in the downlink of a large-scale multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with M antennas to serve K single-antenna user equipments. This is motivated by the high computational complexity required by the widely used zero-forcing or regularized zero-forcing precoding techniques, especially when K grows large. To reduce the computational burden, we adopt a precoding technique based on truncated polynomial expansion (TPE) and make use of the asymptotic analysis to compute the deterministic equivalents of its corresponding signal-to-interference-plus-noise ratios (SINRs) and transmit power. The asymptotic analysis is conducted in the regime in which M and K tend to infinity with the same pace under the assumption that imperfect channel state information is available at the BS. The results are then used to compute the TPE weights that minimize the asymptotic transmit power while meeting a set of target SINR constraints. Numerical simulations are used to validate the theoretical analysis.

关键词： MIMO communication antenna arrays computational complexity polynomials precoding telecommunication power management MIMO systems SINR antennas asymptotic analysis base station multiple-input multiple-output system numerical simulations power efficient low complexity precoding signal-to-interference-plus-noise ratios transmit power truncated polynomial expansion Antennas Complexity theory Interference MIMO Polynomials Signal to noise ratio Vectors multiple input multiple output systems ANTENNA complexity classes Polynomial prediction coding Transmitter power signal to noise ratios SINR MIMO communication Complexity theory Antenna arrays

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Energy Efficiency of Adaptive Transmission for MIMO-OFDM Systems Over Polarization-Sensitive Channels

Energy Efficiency of Adaptive Transmission for MIMO-OFDM Sys...

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1st National Wireless Research Collaboration Symposium (NWRCS)

作者： Chen, Jun Pratt, Thomas Univ Notre Dame Dept Elect Engn Notre Dame IN 46556 USA

ISBN: (纸本)9781479950157

We employ an adaptive space-polarization MIMO testbed to investigate the energy efficiency of different adaptive precoded MIMO architectures, including co-polarized MIMO (CP-MIMO), dual-polarized MIMO (DP-MIMO), and space-polarization MIMO (SP-MIMO) architectures. The analysis quantifies the relative energy efficiencies and achievable rates when precoding is used. The performance is investigated over different polarization-sensitive channels and includes the impact of packet erasures. The adaptive precoding analysis relies on accurate and repeatable physical channel realizations from the testbed, which demands sophisticated hardware and testbed calibration procedures. Examples results from the testbed are presented, illustrating the relative energy efficiencies among the different MIMO architectures.

关键词： Antennas Correlation Gain MIMO Niobium OFDM Signal to noise ratio Dual-polarized Energy efficiency adaptive trasnmission precoding Energy efficiency multiple input multiple output systems prediction coding test bed signal to noise ratios ANTENNA niobium Adaptive transmission Orthogonal frequency division multiplexing Gain

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I/Q Imbalance Aware Widely-Linear Precoding for Downlink Massive MIMO Systems

I/Q Imbalance Aware Widely-Linear Precoding for Downlink Mas...

引用

IEEE Global Communications Conference (GLOBECOM)

作者： Zarei, Shahram Gerstacker, Wolfgang Schober, Robert Univ Erlangen Nurnberg Inst Digital Commun Cauerstr 7 D-91058 Erlangen Germany

ISBN: (纸本)9781479974702

In-phase/quadrature-phase (I/Q) imbalance is one of the most important hardware impairments in communication systems. It arises in the analog parts of direct conversion radio frequency (RF) transceivers and can cause large performance losses. In this paper, the impact of I/Q imbalance on the sum rate performance of downlink massive multiple-input multiple-output (MIMO) systems is analyzed and I/Q imbalance aware widely-linear precoding is considered. The proposed precoder is a widely-linear (WL) extension of the regularized zero-forcing (RZF) precoder and jointly mitigates multi-user interference and I/Q imbalance by processing the real and the imaginary parts of the transmit signal separately. Results from random matrix theory are used to derive analytical expressions for the achievable sum rate of the proposed precoder. Our analytical results show that if the number of base station antennas is much larger than the number of users, the proposed I/Q imbalance aware WL-RZF precoder achieves the same sum rate as the RZF precoder in an ideal system without I/Q imbalance. We also provide an analytical expression for the sum rate loss of the I/Q imbalance unaware RZF precoder compared to the ideal case without I/Q imbalance.

关键词： Intelligence Measures Intelligence Quotient multiple input multiple output systems Base station antenna matrix theory prediction coding Awareness Downlink Multi-user Interference sums

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Correlation Reduction Precoding for Joint Decoding in Overloaded MIMO-OFDM System on Rician Channel

Correlation Reduction Precoding for Joint Decoding in Overlo...

引用

International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Yabe, Tatsuro Sanada, Yukitoshi Keio Univ Dept Elect & Elect Engn Yokohama Kanagawa Japan

ISBN: (纸本)9781479961207

This paper presents a correlation reduction pre-coding scheme for joint decoding in an overloaded multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) system. In the overloaded MIMO system, the number of receive antenna elements is less than that of transmit antenna elements. Through joint maximum likelihood (ML) decoding a frequency diversity suppresses the BER degradation owing to the spatial multiplexing of signal streams. On a Rician channel, the correlation among the coded symbols deteriorates the performance of the joint ML decoding. Thus, this paper proposes the precoding scheme that reduces the correlation on the Rician channel. Numerical results obtained through computer simulation show that the proposed scheme improves the BER by a factor of 1/10 on the Rician channel with the Rician factor of 10.

关键词： MIMO communication OFDM modulation Rician channels correlation methods error statistics maximum likelihood decoding precoding receiving antennas space division multiplexing telecommunication computing transmitting antennas BER degradation suppression Rician channel Rician factor coded symbols correlation reduction precoding scheme frequency diversity joint ML decoding joint maximum likelihood decoding multiple input multiple output system orthogonal frequency division multiplexing system overloaded MIMO-OFDM System receive antenna elements signal streams spatial multiplexing transmit antenna elements Correlation Joints Maximum likelihood decoding OFDM Receiving antennas Rician channels Orthogonal frequency division multiplexing space division multiplexing Receiving antennas maximum likelihood decoding Frequency diversity prediction coding transmitting antennas Joints Joints telecommunication computing MIMO communication correlation methods antenna element Symbolic codes

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On the Trade-Off Between Transmit and Leakage Power for Rate Optimal MIMO Precoding 15

On the Trade-Off Between Transmit and Leakage Power for Rate...

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IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Rueegg, Tim Amah, Aditya U. T. Wittneben, Armin Swiss Fed Inst Technol Commun Technol Lab CH-8092 Zurich Switzerland

ISBN: (纸本)9781479949038

In this paper, we study the interdependency between leakage reduction and transmit power control for rate maximization in leakage based precoding (LBP) for a multi user multiple-input multiple-output (MU-MIMO) scenario. We propose a LBP scheme which provides the rate optimal precoding for each MIMO link under a joint leakage and transmit power constraint and derive an iterative closed form solution for it. Depending on the constraints and the strength of the leakage power, the leakage power and/or the transmit power needs to be adjusted. Any leakage level between the egoistic case, where the leakage is not reduced at all, and the altruistic case, where the leakage is minimized, can be achieved. This allows to optimize the network performance in a MU-MIMO setup by optimally choosing the trade-off between leakage power and transmit power constraints. Using numerical simulations, we show the interdependency between the leakage power and the transmit power and demonstrate the gain we can achieve with the optimal trade-off.

关键词： Closed-form solutions Covariance matrices Interference Joints MIMO Optimization Wireless communication leakage power Transmitter power multiple input multiple output systems CARRIER SYSTEM Joints Joints Closed-form solutions leakage Extravasation prediction coding variance covariance matrix Covariance matrix TRANSMITTING tradeoffs

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Research on Data Compression Algorithm Based on prediction coding for Wireless Sensor Network Nodes

Research on Data Compression Algorithm Based on Prediction C...

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International Forum on Information Technology and Applications (IFITA 2009)

作者： Zhang Chen Sun Guiling Li Weixiang Gao Yi Lv Lequn Nankai Univ Coll Informat Tech Sci Tianjin 300071 Peoples R China

ISBN: (纸本)9780769536002

Using first-order prediction coding to compress the data that collected by sensor nodes can bring down redundant information and greatly reduce the amount of data transmission in network The simulation results show that compressing data by improved prediction coding can reduce energy consumption significantly and prolong the whole lifetime of wireless sensor network.

关键词： WSN prediction coding Data compression Delta Modulation

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