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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Padmanabhan, Ayswarya Tolli, Antti Atzeni, Italo Univ Oulu Ctr Wireless Commun CWC Oulu Finland

ISBN: (纸本)9781538665282

This paper proposes a distributed downlink precoding design for multi-cell massive multiple-input multiple-output systems. Two-stage precoding is adopted assuming that the user equipments (UEs) in each base station (BS) are grouped according to matching channel statistics. In this regard, the channel dimension is first reduced by means of statistical, group-specific processing. Subsequently, the UE-specific inner beamformers (IBFs) are optimized based on the resulting (lower-dimensional) effective channels, with sensibly reduced computational complexity. We begin by formulating a centralized IBF design that derives from iteratively solving the Karush-Kuhn-Tucker conditions of the weighted sum rate maximization problem. Then, we propose a distributed algorithm where inter-cell interference (ICI) terms and dual variables are periodically exchanged among neighboring BSs via backhaul signaling, whereas the inter-group interference (IGI) within each BS is handled locally. Furthermore, the ICI updates between the BSs are allowed to take place less frequently than the local IGI updates. Numerical results show that enabling backhaul signaling every 5-10 iterations of the algorithm yields a remarkably small performance loss with respect to the case with full information exchange between the BSs.

关键词： array signal processing cellular radio computational complexity interference suppression iterative methods MIMO communication optimisation precoding radiofrequency interference wireless channels prediction coding MIMO communication Radiofrequency interference wireless channels cellular radio array signal processing iterative methods complexity classes suppression of interference channel dimension

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Low-Complexity OFDM Spectral Precoding 20

Low-Complexity OFDM Spectral Precoding

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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Kant, Shashi Fodor, Gabor Bengtsson, Mats Goransson, Bo Fischione, Carlo Ericsson AB S-16480 Kista Sweden KTH Royal Inst Technol S-11428 Stockholm Sweden

ISBN: (纸本)9781538665282

This paper proposes a new large-scale maskcompliant spectral precoder (LS-MSP) for orthogonal frequency division multiplexing systems. In this paper, we first consider a previously proposed mask-compliant spectral precoding scheme that utilizes a generic convex optimization solver which suffers from high computational complexity, notably in large-scale systems. To mitigate the complexity of computing the LS-MSP, we propose a divide-and-conquer approach that breaks the original problem into smaller rank 1 quadratic-constraint problems and each small problem yields closed-form solution. Based on these solutions, we develop three specialized first-order low-complexity algorithms, based on 1) projection on convex sets and 2) the alternating direction method of multipliers. We also develop an algorithm that capitalizes on the closed-form solutions for the rank 1 quadratic constraints, which is referred to as 3) semianalytical spectral precoding. Numerical results show that the proposed LS-MSP techniques outperform previously proposed techniques in terms of the computational burden while complying with the spectrum mask. The results also indicate that 3) typically needs 3 iterations to achieve similar results as 1) and 2) at the expense of a slightly increased computational complexity.

关键词： computational complexity convex programming divide and conquer methods iterative methods OFDM modulation precoding Orthogonal frequency division multiplexing divide and conquer methods prediction coding complexity classes convex programming iterative methods

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Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO 20

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Balatsoukas-Stimming, Alexios Castaneda, Oscar Jacobsson, Sven Durisi, Giuseppe Studer, Christoph Ecole Polytech Fed Lausanne Telecommun Circuits Lab Lausanne Switzerland Cornell Univ Sch Elect & Comp Engn Ithaca NY 14850 USA Ericsson Res Gothenburg Sweden Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781538665282

Base station (BS) architectures for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems are equipped with hundreds of antennas to serve tens of users on the same time-frequency channel. The immense number of BS antennas incurs high system costs, power, and interconnect bandwidth. To circumvent these obstacles, sophisticated MU precoding algorithms that enable the use of 1-bit DACs have been proposed. Many of these precoders feature parameters that are, traditionally, tuned manually to optimize their performance. We propose to use deep-learning tools to automatically tune such 1-bit precoders. Specifically, we optimize the biConvex 1-bit Precoding (C2PO) algorithm using neural networks. Compared to the original C2PO algorithm, our neural-network optimized (NNO-)C2PO achieves the same error-rate performance at 2x lower complexity. Moreover, by training NNO-C2PO for different channel models, we show that 1-bit precoding can be made robust to vastly changing propagation conditions.

关键词： analogue-digital conversion antenna arrays convex programming learning (artificial intelligence) MIMO communication neural nets precoding telecommunication computing prediction coding Neural network Analog-digital conversion telecommunication computing MIMO communication convex programming Antenna arrays 1-bit ANTENNA

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Generalized JSDM with Enhanced Interference Management for Massive MIMO Systems

Generalized JSDM with Enhanced Interference Management for M...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Yue, Guosen Zhang, Bohan Qi, Xiao-Feng Cimini, Leonard J., Jr. Futurewei Technol Inc Radio Algorithms Res New Jersey Res Ctr Bridgewater NJ 08807 USA Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

ISBN: (纸本)9781728109220

In this paper, we consider the feedback and precoding designs for massive multiple-input multiple-output (MIMO) systems. Based on a recently introduced two-stage beamforming framework, termed as joint spatial division and multiplexing (JSDM), we propose a generalized JSDM approach to deal with the practical issue that the user's channel usually has multiple scattering clusters for mobile broadband which may incur significant performance degradation with original JSDM. In particular, we propose a new feedback approach where the users feed back additional channel measurements, referred to as inter-group channel state information (CSI) feedback. To utilize the inter-group CSI, we first provide the joint group precoding (JGP) approaches, then propose a novel virtual user based low-complexity per-group precoding (PGP) method with interference avoidance. Finally, we explore a general PGP approach with power allocations for interference management. Simulation results show that the spectral efficiency is significantly improved with proposed designs.

关键词： multiple input multiple output systems Feedback degradation of performance channel measurement prediction coding Consumers spectral efficiency PGP gene Pretty Good Privacy power splitting interference interference

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Interfering Channel Estimation for Radar and Communication Coexistence 20

Interfering Channel Estimation for Radar and Communication C...

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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Liu, Fan Garcia-Rodriguez, Adrian Masouros, Christos Geraci, Giovanni UCL Dept Elect & Elect Engn London England Nokia Bell Labs Dublin 15 Ireland Univ Pompeu Fabra Barcelona Spain

ISBN: (纸本)9781538665282

We investigate the interfering channel estimation in radar and communication coexistence, where a multi-input-multi-output (MIMO) radar is operated in a "search and track" mode, and a MIMO base station (BS) is attempting to acquire the interfering channel state information (ICSI) between them, which is required for the precoding designs. In contrast to conventional training based techniques, we exploit radar probing waveforms as pilot signals, which requires no coordination between the systems. As the radar randomly transmits searching and tracking waveforms, it is challenging for the BS to directly obtain the ICSI. We therefore propose a Rao test approach to firstly identify the working mode of the radar, and then estimate the channel. We further provide theoretical performance analysis for the Rao detector. Finally, we assess the effectiveness of the proposed approach by numerical simulations, which show that the BS is able to estimate the ICSI with limited information from the radar.

关键词： channel estimation MIMO radar precoding radar interference statistical testing channel estimation MIMO radar radar prediction coding Statistical tests Intracytoplasmic Sperm Injections Radar communication Bahamas PILOT SIGNAL

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A Nearly Optimal Hybrid Precoder Design for Downlink Single-Carrier Wideband Massive MIMO Channels 30

A Nearly Optimal Hybrid Precoder Design for Downlink Single-...

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30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Kilcioglu, Emre Guvensen, Gokhan M. Middle East Tech Univ Elect & Elect Engn Dept Ankara Turkey Aselsan Inc Ankara Turkey

ISBN: (纸本)9781538681107

In this paper, an efficient hybrid precoding architecture is proposed for single-carrier (SC) downlink wideband spatially correlated massive MIMO channels. The design of two-stage beamformers is realized by using a virtual sectorization via second-order channel statistics based user grouping. The novel feature of the proposed architecture is that the effect of both inter-group-interference (due to non-orthogonality of virtual angular sectors) and the inter-symbol-interference (due to SC wideband transmission) are taken into account. While designing the analog beamformer, we examine the dimension reduction problem and proper subspace (beamspace) construction (by exploiting the joint angle-delay sparsity map and power profile of the multi-user channel) based on which a highly efficient spatio-temporal digital precoding is proposed.

关键词： Downlink intersymbolic interference multiple input multiple output systems broadband User groups prediction coding Broadband transmission

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Orthogonal Faster-Than-Nyquist Signaling using Cholesky Pre-whitening Filter

Orthogonal Faster-Than-Nyquist Signaling using Cholesky Pre-...

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Hyeonguk Baek Seunghyeon Kim Changjun Lee Hojun Kim Yulong Shang Taejin Jung Chonnam National University Gwangju Republic of Korea R&D Team Network Business Samsung Electronics Suwon Republic of Korea Sch. of EIE Jiangsu University of Technology Changzhou China

ISBN: (数字)9781728162898

ISBN: (纸本)9781728162904

In this paper, a new orthogonal Faster-Than-Nyquist (FTN) signaling based on a Cholesky precoder is proposed. When using a SRRC transmit filter with a roll-off factor, the orthogonal FTN guarantees the orthogonality between all transmitted symbols with a condition of that a symbol period is larger than the 1/(1+α) times of the Nyquist rate. Due to its orthogonal property, the proposed FTN perfectly resolves the problems of higher decoding complexity and performance loss imposed in the conventional FTN.

关键词： decision feedback equalisers decoding filtering theory intersymbol interference least mean squares methods matched filters multipath channels precoding Least squares method decision feedback equalisers matched filters filtering theory Multipath channels intersymbolic interference prediction coding DEcoding Cholesky Orthogonal Nyquist rate

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Error Rate Analysis of Physical Layer Security for Sub-6 GHz 5G Network Planning 14

Error Rate Analysis of Physical Layer Security for Sub-6 GHz...

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14th Annual Conference System of Systems Engineering (SoSE)

作者： Ormond, Patrick Yerrapragada, Anil Kumar Kelley, Brian Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9781728104577

This paper investigates the application of Key-based Physical Layer Security to future 5G and IoT network dimensioning, not previously considered in other works. Results indicate a Key bit Error Rate of 1% at a cell separation of 500m with a reuse of 7. A derivation for a closed form expression of the Key bit Error Rate as a function of radio network parameters is presented for a specific Precoder Matrix Index (PMI) based Physical Layer Security scheme known as MOPRO. The equation, which accounts for Rayleigh fading environments, is verified against simulated data, and shows a gain of 6dB for 1-bit codebooks over 2-bit codebooks. Also shown is a closed form statistical expression for the probability density function of the Key bit Error Rate. The expression for direct computation of Key bit Error Rate statistics points the way forward toward future physical layer security based planning in heterogeneous networks.

关键词： 5G mobile communication error statistics MIMO communication precoding probability Rayleigh channels telecommunication security telecommunication security MIMO communication Physical layer Probability density function Raleigh fading channels prediction coding Error analysis Bit error rate Cell Separation dibit

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On the Application of MIMO Space-Time coding to Physical Layer Security in sub-6 GHz 5G 14

On the Application of MIMO Space-Time Coding to Physical Lay...

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14th Annual Conference System of Systems Engineering (SoSE)

作者： Ormond, Patrick Yerrapragada, Anil Kumar Kelley, Brian Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9781728104577

This paper investigates the application and performance improvement of MIMO Space Time Block coding (STBC) for Physical Layer Security. The paper analyzes a Precoder Matrix Index (PMI) based scheme called Private Random Pre-coding (PRP). Key-based Physical Layer Security protects against eavesdroppers in wireless communication links, invaluable in emerging SG and IoT networks. This paper derives improvements in PRP based on STBC. Also presented are simulation results which show as much as 7 dB improvement in Key bit Error Rate performance vs SINR of the enhanced PRP-STBC scheme for a 1-bit codebook at the cost of decreased transmission rate. In addition, the paper derives a closed form expression for the Key bit Error Rate for both the PRP and enhanced PRP-STBC schemes as a function of dense SG cellular geometries. Furthermore, we present the effective information rate of the PRP key based communication framework in low SNR scenarios.

关键词： 5G mobile communication error statistics matrix algebra MIMO communication precoding space-time block codes telecommunication security space time block coding telecommunication security MIMO communication prediction coding matrix algebra Physical layer MSMB gene POTENTIALLY RESPONSIBLE PARTIES Error analysis time coding Information rates bit error rate performance

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An Algorithm for Simple Differential Speech coding Based on Backward Adaptation Technique

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INFORMATICA 2018年第3期29卷 539-553页

作者： Tomic, Stefan S. Peric, Zoran H. Nikolic, Jelena R. Univ Nis Fac Elect Engn Aleksandra Medvedeva 14 Nish Serbia

This paper presents a simple differential speech signal coding algorithm, based on backward adaptation. The considered algorithm is executed in frame by frame manner, by implementing predictive and adaptive quantization techniques. Both prediction and adaptation are performed backward, based on the previously quantized input signal frame. This enables us to obtain high quality output signal, without increasing the bit rate. This research puts emphasis on the quantizer design, with the optimal support limit determination, and theoretical performance evaluation. Objective quality of the output signal is evaluated through signal to quantization noise ratio (SQNR). We perform theoretical and experimental analysis of the algorithm performance and provide comparative results of implementing speech signal coding techniques with similar complexity. Experimental results show that our simple differential speech coding algorithm satisfies the G. 712 Recommendation for high-quality speech coding at the bit rate of 6 bits per sample. This indicates that the algorithm can be successfully implemented in high quality speech signal coding.

关键词： speech coding algorithm backward adaptive technique prediction coding differential coding

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