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Cyclic Delay Transmission Achieves Full Diversity without (Pre)coding

Cyclic Delay Transmission Achieves Full Diversity without (P...

引用

IEEE International Conference on Communications

作者： Ahmed Hesham Mehana Aria Nosratinia Department of Electrical Engineering The University of Texas at Dallas

ISBN: (纸本)9781457720529

Cyclic Delay Diversity (CDD) is a simple method that converts transmit antenna diversity into frequency selectivity, thus allowing simple operation and use of conventional receivers to capture the diversity. This paper shows that single-carrier CDD methods are capable of producing diversity without channel coding or linear precoding, and that this is made possible via the appropriate design and use of linear equalizers. At the heart of our result is the establishment of a functional equivalence between effective channels seen by the CDD MISO system and the cyclic-prefix SISO ISI system. Specifically, we show that in an M × 1 CDD MSIO system, the MMSE receiver achieves maximum diversity for rate values R ≤ log L/M(v+1)-1, where L is the data block length, R the spectral efficiency in b/s/Hz, and v is the channel memory. The equivalence between the delay diversity (DD) system and a zero-padding single-carrier system can be also established (as long as the DD delay taps are carefully chosen) for which linear equalizers can achieve maximum diversity with no constraint on rate.

关键词： linear equalizer CDA gene prediction coding functionally equivalent frequency selectivity Channel coding

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Adaptive Precoding for Femtocell Interference Mitigation

Adaptive Precoding for Femtocell Interference Mitigation

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IEEE International Conference on Communications

作者： Ahmed R. Elsherif Ahmed Ahmedin Zhi Ding Xin Liu University of California

ISBN: (纸本)9781457720529

In this paper, we study interference mitigation in cellular networks with femtocells. We propose to use adaptive distributed beamforming to mitigate downlink interference between femtocell users, known as Home User Equipments (HUEs), and macrocell users, known as Macrocell User Equipments (MUEs). We develop three MIMO beamforming schemes for interference mitigation that take into account the QoS requirement of femtocell and macrocell clients. These new heterogeneous MIMO precoding strategies improve flexibility in resource provisioning and signaling requirement in response to QoS need. The proposed schemes minimize the interference at the MUE or maximize the throughput at the HUE depending on the network traffic and QoS constraints. We also analyze the MUE mean throughput by applying order statistics theory.

关键词： Femtocells disturbance suppression traffic network Quality of service macrocells prediction coding Cellular networks Throughput color tones

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Equalization and Precoding in Multi-User MIMO Relaying Systems and Their Diversity Bottleneck

Equalization and Precoding in Multi-User MIMO Relaying Syste...

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WSA 2017;21th International ITG Workshop on Smart Antennas

作者： Sebastian Stern Yeicatl Ramos Vazquez Robert F. H. Fischer

In this paper, equalization and precoding in multiuser multiple-input/multiple-output (MIMO) relaying systems are considered. In particular, the user devices are connected to relays or small base stations which only cover small areas, socalled small cells. Via wireless backhaul, the relays are in turn connected to a central base station, forming a two-hop multiuser relaying system. It is shown how a naive realization of these relaying systems provokes a diversity bottleneck in the small cells, degrading the overall system performance. A strategy to prevent this bottleneck is proposed in combination with an antenna selection strategy for backhaul communication. Results obtained from numerical simulations are provided to complement the theoretical considerations. To this end, lattice-reduction-aided schemes are used to enable a full-diversity channel equalization.

关键词： prediction coding Equalization relay Traffic Bottlenecks relaying BASE STATION multiple input multiple output systems return stroke Relay systems System performance wireless

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On the Effects of UE Transceiver Non-Reciprocity in Coordinated TDD Multi-Cell MIMO Network

On the Effects of UE Transceiver Non-Reciprocity in Coordina...

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IEEE Global Communications Conference

作者： Orod Raeesi Yaning Zou Antti Tolli Mikko Valkama Department of Electronics and Communications Engineering Tampere University of Technology Department of Communications Engineering University of Oulu

ISBN: (纸本)9781479959532

In this paper, we study the effects of effective channel non-reciprocity in coordinated TDD multi-cell MIMO network based on weighted sum rate (WSR) maximization. More specifically, we focus on UE transceiver non-reciprocity while the base stations (BS) are assumed to be perfectly calibrated, and both centralized and decentralized beamforming schemes are considered. In the centralized scheme, the cost function is constructed in a central controller using antenna specific UL pilots for channel estimation from all the connected BSs in the network. Then, even though the transceiver frequency response (FR) mismatches at the UE side corrupt the effective channel reciprocity, it is shown to have only a trivial impact on the WSR objective in such centralized case. However, when decentralized beamforming is deployed, the optimization is carried out in each BS and the corresponding cost function and optimization process depend on information acquired by over-the-air signaling between the BSs and all the users using precoded UL pilots. In this case, it is then shown that the transceiver FR mismatches at the UE side can cause severe performance degradation and even influence the convergence properties of the sum-rate optimization process. Further insight is provided for improving the performance by modifying the weight calculations in the optimization process and connecting users with good cell separations. Then a convergence-aware processing algorithm is also proposed to improve the performance of the decentralized scheme under UE transceiver non-reciprocity. Numerical experiments demonstrate that efficient processing algorithms for calibrating UE transceiver mismatches to be less than -30dB to -35dB are, in general, required in the decentralized system in order to achieve performance close to the ideal case without any RF imperfections.

关键词： Centralized beamforming Channel reciprocity Decentralized beamforming Multi-cell MIMO Precoding Time-division duplexing Transceiver frequency response mismatch prediction coding Optimization Procedure UNITED ELECTRIC Transceivers time division duplex processing algorithm multiple input multiple output systems Cost functions degradation of performance Cell Separation central controller tal demand distortion Decentralized Bahamas

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Orthogonal precoding for sidelobe suppression in DFT-based systems using block reflectors

Orthogonal precoding for sidelobe suppression in DFT-based s...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： I. Vaughan L. Clarkson P.O. Box 920 Samford Village Qld. 4520 AUSTRALIA

ISBN: (纸本)9781509041183

Sidelobe suppression has always been an important part of crafting communications signals to keep interference with users of adjacent spectrum to a minimum. Systems based on the discrete Fourier transform, such as orthogonal frequency-division multiplexing (OFDM) and single-carrier frequency-division multiple access (SC-FDMA) are especially prone to out-of-band power leakage. Although many techniques have been proposed to suppress sidelobes in DFT-based systems, a satisfactory balance between computational complexity and out-of-band power leakage has remained elusive. Orthogonal precoding is a promising, linear technique in which the nullspace of a precoding matrix with orthonormal columns is designed to suppress the sidelobes. In particular, Xu and Chen [1], van de Beek [2] and Ma et al. [3] have proposed orthogonal precoders that yield excellent out-of-band suppression. However, they suffer from high arithmetic complexity-quadratic in the number of active subcarriers-which has limited their application. In this paper, we find that the arithmetic complexity can be made linear instead of quadratic if a block reflector is used to perform the precoding instead of an otherwise unstructured unitary transformation. There is no penalty to be paid in achieved bit-error rate. We show by numerical simulation that the penalty in peak-to-average power ratio is also very small for OFDM.

关键词： OFDM SC-FDMA orthogonal precoding sidelobe suppression block reflector sidelobe reduction Orthogonal frequency division multiplexing sidelobe prediction coding penalty Orthogonal out-of-band power reflectors

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Low-Complexity LSQR-Based Linear Precoding for Massive MIMO Systems

Low-Complexity LSQR-Based Linear Precoding for Massive MIMO ...

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IEEE Vehicular Technology Conference

作者： Tian Xie Zhaohua Lu Qian Han Jinguo Quan Bichai Wang Dept. of Electron. Eng. Tsinghua Univ. Beijing China

ISBN: (纸本)9781479980925

Massive multiple-input multiple-output (MIMO) using a large number of antennas at the base station (BS) is a promising technique for the next-generation 5G wireless communications. It has been shown that linear precoding schemes can achieve near-optimal performance in massive MIMO systems. However, classical linear precoding schemes such as zero-forcing (ZF) precoding suffer from high complexity due to the fact they require the matrix inversion of a large size. In this paper, we propose a low-complexity precoding scheme based on the least square QR (LSQR) method to realize the near-optimal performance of ZF precoding without matrix inversion. We show that the proposed LSQR-based precoding can reduce the complexity of ZF precoding by about one order of magnitude. Simulation results verify that the proposed LSQR-based precoding can provide a better tradeoff between complexity and performance than the recently proposed Neumann-based precoding.

关键词： Low-Complexity LSQR-Based Linear Precoding Massive MIMO Systems ZF zero frequency prediction coding multiple input multiple output systems matrix inversion optimum performance

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Channel Reconstruction for SVD-ZF Precoding in Massive 3D-MIMO Systems: Low-Complexity Algorithm

Channel Reconstruction for SVD-ZF Precoding in Massive 3D-MI...

引用

IEEE Vehicular Technology Conference

作者： Yuwei Ren Xin Su Can Qi Yingmin Wang Beijing University of Posts and Telecommunications State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunications Technology Langfang Power Supply Company Jibei Electric Power Company Limited

ISBN: (纸本)9781509016990

In this paper, we study the low-complexity channel reconstruction methods for downlink precoding in massive MIMO systems. When the user is allocated less streams than the number of its antennas, the BS or user usually utilizes the singular value decomposition (SVD) factorizations to get the effective channels, whose dimension is equal to the num of streams. This process is called channel reconstruction in BS for TDD mode. However, with the increasing of antennas in BS, the computation burden of SVD is becoming incredibly high. As a countermeasure, we propose a series of novel low-complexity channel reconstruction methods for downlink zero-forcing precoding (ZF). We adopt randomized algorithms to construct an approximate SVD, which could reduce the dimensions of the matrix, especially when approximating an input matrix with a low-rank element. Besides, this method could automatically modify the parameters to adapt arbitrary number demand of streams from users. The simulation results show that the proposed methods only cost less than 30% float computation than the traditional SVD-ZF method, while keeping nearly the same performance of 1Gbps with 128 BS antennas.

关键词： Channel Reconstruction SVD 3D-MIMO Massive MIMO Singular value decomposition Channel reconstruction Swine vesicular disease multiple input multiple output systems Bahamas ANTENNA prediction coding dimensions

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Unitary Precoding for MIMO Interference Networks

Unitary Precoding for MIMO Interference Networks

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IEEE Global Communications Conference

作者： Andreas Dotzler Guido Dietl Wolfgang Utschick Associate Institute for Signal Processing Technische University Munchen DOCOMO Euro-Labs and University of Applied Sciences Landshut

ISBN: (纸本)9781467309202

For MIMO interference networks, uncertainty in the spatial structure of interfering signals is a major source of performance degradation. In this work, we promote the use of linear unitary precoding, as it can be designed such that downlink transmission becomes more robust. Optimizing linear unitary precoding is a combinatorial and nonconvex problem, thus no efficient methods to compute global optimal solutions are available. Therefore, methods with reasonable complexity and acceptable performance are desired and have been investigated in research literature as well as for practical implementation. Contrary to existing work on unitary precoding, which considers receivers with a single antenna, we target scenarios with multiple receive antennas. We introduce and discuss a low-complexity method for successive user and precoder selection to enable unitary precoding for multi-antenna receivers. In addition to interference robustness, our novel method has several advantages for potential implementations, concerning the channel feedback and computation of optimal receive filters. Initial results by numerical simulations indicate that our approach has the potential to outperform existing methods.

关键词： prediction coding degradation of performance Unitary downlinking Receivers multiple input multiple output systems multiple antenna interference interference

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Hybrid Linear Precoding Strategy for Multiuser Massive MIMO Millimeter Wave Systems

Hybrid Linear Precoding Strategy for Multiuser Massive MIMO ...

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International Conference on Image and Signal Processing and their Applications (ISPA)

作者： Baghdad HADJI Lamya FERGANI Mustapha DJEDDOU Department of Telecommunication University of Science and Technology Algiers Algeria Communication System Laboratory Military Polytechnic School Algiers Algeria

ISBN: (纸本)9781728131573

Multiuser-MIMO Millimeter wave based communication system has been considered as a current area of research for the future communication systems to serve multi-user simultaneously with a multiple data streams. Hybrid analog/digital architecture is the most satisfied architecture of the mmWave MIMO communication objectives and can be applied at both the base and mobile stations. Thus, exploiting the hybrid pre-coding/combining techniques offered by this architecture allow the realization of the multi-stream/multi-user transmission. We propose in this paper, a low computational complexity linear hybrid precoding schemes based on classical linear precoding and SVD decompostion of each channel user to avoid information exchange by the feedback where each user is powered by hybrid architecture. The simulation results demonstrate that our proposed two-stage hybrid linear precoding schemes can achieve a higher spectral efficiency compared with existing methods where each user is equipped with a single combiner and confirms its better management of the multi-user interference.

关键词： Millimeter wave multi-user MIMO Massive MIMO Hybrid precoding MRT ZF MMSE zero frequency mean radiant temperatures Mini Mental State Examination prediction coding COMMUNICATION SYSTEMS millimeter wave Multi-user Interference HYBRID Hybrid electric vehicles composite structures Building construction ARCHITECTURE information exchange spectral efficiency

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Robust MIMO Precoding for the Schatten Norm Based Channel Uncertainty Sets

Robust MIMO Precoding for the Schatten Norm Based Channel Un...

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IEEE Global Communications Conference

作者： Jiaheng Wang Mats Bengtsson Bjorn Ottersten Daniel P. Palomar National Mobile Communications Research Lab (NCRL) Southeast University Signal Processing Lab ACCESS Linnaeus Center KTH Royal Institute of Technology ECE Department Hong Kong University of Science and Technology

ISBN: (纸本)9781479913510

In this paper, we consider robust MIMO precoding designs against deterministic imperfect channel state information at the transmitter (CSIT). In contrast to the existing works based on one or two particular channel uncertainty models, we consider a general uncertainty set defined by a generic matrix norm, called the Schatten norm, which includes most deterministic imperfect CSIT as special cases. Adopting worst-case robustness, the robust MIMO precoding design is formulated as a maximin problem to maximize the worst-case received signal-to-noise ratio or minimize the worst-case error probability. We show that the robust precoder admits a channel-diagonalizing structure for all Schatten norm based uncertainty sets, and then simplify the complex-valued matrix problem to a real-valued vector power allocation problem. We further show that the simplified power allocation problem can be analytically solved in a waterfilling manner, thus leading to a fully closed-form solution to the robust precoding design. Finally, we also investigate the robustness of beamforming and uniform-power transmission.

关键词： Imperfect CSIT maximin MIMO minimax Schatten norm worst-case robustness multiple input multiple output systems Minimax Robustness prediction coding Channel state information Uncertainty power splitting signal to noise ratios

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