A new signal model for MIMO communication with compact parasitic arrays

Barousis, Vlasis I.; Papadias, Constantinos B.; Müller, Ralf R.

doi:10.1109/isccsp.2014.6877828

Cited by 18 publications

(24 citation statements)

References 19 publications

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“…The relation between the currents and voltages associated with the antenna elements of this array is given by the generalized Ohm's law [10]:…”

Section: Robust Arbitrary Precoding Techniquementioning

confidence: 99%

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Large load-controlled multiple-active multiple-passive antenna arrays: Transmit beamforming and multi-user precoding

Ntougias¹,

Νταϊκος²,

Gizas³

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In this work, we present the design of a novel large load-controlled multiple-active multiple-passive (LC-MAMP) antenna array that operates at 19.25 GHz. In addition, we describe a method that enables us to perform robust, low-complexity, arbitrary channel-dependent precoding with such arrays as well as a communication protocol that limits the computational complexity associated with beam tracking and dynamic load computation in static or low-mobility scenarios, such as indoor wireless access or wireless terrestrial backhaul use cases. Finally, we study the application of various user-and symbol-level precoding schemes in coordinated multiple-input multiple-output setups equipped with LC-MAMP arrays and we evaluate their performance through numerical simulations using a realistic channel model. The simulation results show that LC-MAMPs outperform equivalent digital antenna arrays.Index Terms-Load-controlled multiple-active multiple-passive arrays (LC-MAMP); coordinated multi-cell multiple-input multiple-output (Co-MC-MIMO); constructive-interference zeroforcing beamforming (CI-ZFBF); centimetre-wave (cm-wave) access; terrestrial backhaul.

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“…The relation between the currents and voltages associated with the antenna elements of this array is given by the generalized Ohm's law [10]:…”

Section: Robust Arbitrary Precoding Techniquementioning

confidence: 99%

“…The system model of a (M, (K, 1)) MU-MIMO setup formed between a BS with M transmit antennas and K single-antenna user terminals (UT) is given from an antenna perspective by [10] y = Hi + n,…”

Section: Robust Arbitrary Precoding Techniquementioning

confidence: 99%

Large load-controlled multiple-active multiple-passive antenna arrays: Transmit beamforming and multi-user precoding

Ntougias¹,

Νταϊκος²,

Gizas³

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…3. The mutual information of PMH in a multiple-access iid Gaussian channel for different number of antenna elements at the UEs [9].…”

Section: ) Lmasmentioning

confidence: 99%

“…In order to perform closed-loop MIMO transmission using single-RF ESPAR antennas, we map the precoded symbols on the antenna currents [9]. Unfortunately, for some input signal constellations the required loading values may lead to circuit instability.…”

Section: Transmission Techniques 1) Arbitrary Channel-dependent Prmentioning

confidence: 99%

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

Artuso

Boviz

Checko³

et al. 2016

IEEE Commun. Mag.

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-Cloud radio access network (C-RAN) systems consisting of remote radio heads (RRHs) densely distributed in a coverage area and connected by optical fibers to a cloud infrastructure with large computational capabilities, have the potential to meet the ambitious objectives of next generation mobile networks. Actual implementations of C-RANs tackle fundamental technical and economic challenges. In this article, we present an end-to-end (E2E) solution for practically implementable C-RANs by providing innovative solutions to key issues such as the design of cost-effective hardware and powereffective signals for RRHs, efficient design and distribution of data and control traffic for coordinated communications and conception of a flexible and elastic architecture supporting dynamic allocation of both the densely distributed RRHs and the centralized processing resources in the cloud to create virtual base-stations (BSs). More specifically, we propose a novel antenna array architecture called load-controlled parasitic antenna array (LCPAA) where multiple antennas are fed by a single RF chain. Energy and spectral-efficient modulation as well as signaling schemes that are easy to implement are also provided. Additionally, the design presented for the fronthaul (FH) enables flexibility and elasticity in resource allocation to support BS virtualization. A layered-design of information control for the proposed E2E solution is presented.The feasibility and effectiveness of such LCPAA-enabled C-RAN system setup has been validated through an over-the-air (OTA) demonstration.

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“…However, specific precoding scheme analysis is not included. An important result is reported in [25], where a new signal model is introduced for ESPARs and it is shown that the currents at the ports of the transmitting array can be considered as the input to the system. In [26], MIMO transmission with ESPARs is studied, where the convex optimization approach is employed to obtain the load values that satisfy the input impedance constraint for the ESPAR array.…”

Section: Introductionmentioning

confidence: 99%

MIMO Transmission for Single-Fed ESPAR With Quantized Loads

Masouros

Papadias

2017

IEEE Trans. Commun.

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Compact parasitic arrays in the form of electronically steerable parasitic antenna radiators (ESPARs) have emerged as a new antenna structure that achieves multipleinput-multiple-output (MIMO) transmission with a single RF chain. In this paper, we study the application of precoding on practical ESPARs, where the antennas are equipped with load impedances of quantized values. We analytically study the impact of the quantization on the system performance, where it is shown that while ideal ESPARs with ideal loads can achieve a similar performance to conventional MIMO, the performance of ESPARs will be degraded when only loads with quantized values are available. We further extend the performance analysis to imperfect channel state information (CSI). In order to alleviate the performance loss, we propose to approximate the ideal current vector by optimization, where a closed-form solution is further obtained. This enables the use of ESPARs in practice with quantized loads. Simulation results validate our analysis and show that a significant performance gain can be achieved with the proposed scheme over ESPARs with quantized loads. Finally, the tradeoff between performance and power consumption is shown to be favorable for the proposed ESPAR approaches compared to conventional MIMO, as evidenced by our energy efficiency results.

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A new signal model for MIMO communication with compact parasitic arrays

Cited by 18 publications

References 19 publications

Large load-controlled multiple-active multiple-passive antenna arrays: Transmit beamforming and multi-user precoding

Large load-controlled multiple-active multiple-passive antenna arrays: Transmit beamforming and multi-user precoding

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays

MIMO Transmission for Single-Fed ESPAR With Quantized Loads

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