The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

David R Smith - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    IEEE Transactions on Communications, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input–multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this paper, we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. First, we propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    arXiv: Information Theory, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this work we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays, and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. We first propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems, and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.

Nir Shlezinger - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    IEEE Transactions on Communications, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input–multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this paper, we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. First, we propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    arXiv: Information Theory, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this work we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays, and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. We first propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems, and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.

Vincent Fusco - One of the best experts on this subject based on the ideXlab platform.

  • Hardware Constraints in Compressive Sensing Based Antenna Array.
    arXiv: Signal Processing, 2019
    Co-Authors: M. Ali Babar Abbasi, Vincent Fusco
    Abstract:

    New constraints based on practical hardware are introduced in compressive sensing (CS) based rectangular Antenna array thinning technique. In a standard CS array sparsity enforcement, Antenna elements are considered as ideal point sources which do not comply with the practical hardware. It also does not consider the impact of mutual coupling of neighbouring Antenna elements on the impedance mismatch. In this work, we propose a combination of constraints based on Physical Antenna array specifications, mutual coupling and practical Antenna element radiation performance in the CS-based array thinning enforcement. Analytical modelling along with a design example is presented and discussed. Array performance based on full-wave electromagnetic simulations shows the reliability of the proposed approach.

  • UCET - Hardware Constraints in Compressive Sensing Based Antenna Array
    2019 UK China Emerging Technologies (UCET), 2019
    Co-Authors: M. Ali Babar Abbasi, Vincent Fusco
    Abstract:

    New constraints based on practical hardware are introduced in compressive sensing (CS) based rectangular Antenna array thinning technique. In a standard CS array sparsity enforcement, Antenna elements are considered as ideal point sources which do not comply with the practical hardware. It also does not consider the impact of mutual coupling of neighbouring Antenna elements on the impedance mismatch. In this work, we propose a combination of constraints based on Physical Antenna array specifications, mutual coupling and practical Antenna element radiation performance in the CS based array thinning enforcement. Analytical modelling along with a design example is presented and discussed. Array performance based on full-wave electromagnetic simulations shows the reliability of the proposed approach.

El-hadi M. Aggoune - One of the best experts on this subject based on the ideXlab platform.

  • Direction of Arrival of Narrowband Signals Based on Virtual Phased Antennas
    2017
    Co-Authors: Mohammad Ammad-uddin, Denis Le Jeune, Ali Mansour, El-hadi M. Aggoune
    Abstract:

    Data collection from field sensors by using Unmanned Aerial Vehicle (UAV) is the application taken in consideration in this paper. All the sensor nodes are kept location unaware to reduce their cost and energy utilization. The issue addressed in this paper is localization of sensor nodes by UAV to collect data in efficient way. ULA of multiple Antennas are used to measure the Angle of Arrival (AoA) of incoming signals. However, the drawbacks of mounting such multiple Antennas on an Unmanned Aerial Vehicle (UAV) outweigh the benefits. The challenge is to affix multiple Antennas and receivers on an UAV, increase its weight which ultimately decrease its payload capacity, flight time, speed and agility. In this paper, we are proposing a new method to estimate the AoA, called Virtual Phase Array (VPA) Antenna system. A single moving Antenna installed over an UAV taking snapshots every fixed time periods forms an Antenna array virtually. This VPA has enable us to introduce two new concepts of adaptive staring precision and multiple frequency use. All these became reality only because number and spacing between Antenna elements can be adjusted, which is not easy to implement in Physical Antenna array especially when Antenna is onboard. The proposed system is evaluated by simulation model. Suggested modifications and additions in classical MUSIC algorithm make it possible to operate the virtual Antenna system with the same precision as the Physical Antenna may have, but adding more flexibility, ease of use, cost economy, more reliability and better throughput.

  • APCC - Direction of arrival of narrowband signals based on virtual phased Antennas
    2017 23rd Asia-Pacific Conference on Communications (APCC), 2017
    Co-Authors: M. Ammad Uddin, Denis Le Jeune, Ali Mansour, El-hadi M. Aggoune
    Abstract:

    Data collection from field sensors by using Unmanned Aerial Vehicle (UAV) is the application taken in consideration in this paper. All the sensor nodes are kept location unaware to reduce their cost and energy utilization. The issue addressed in this paper is localization of sensor nodes by UAV to collect data in efficient way. ULA of multiple Antennas are used to measure the Angle of Arrival (AoA) of incoming signals. However, the drawbacks of mounting such multiple Antennas on an Unmanned Aerial Vehicle (UAV) outweigh the benefits. The challenge is to affix multiple Antennas and receivers on an UAV, increase its weight which ultimately decrease its payload capacity, flight time, speed and agility. In this paper, we are proposing a new method to estimate the AoA, called Virtual Phase Array (VPA) Antenna system. A single moving Antenna installed over an UAV taking snapshots every fixed time periods forms an Antenna array virtually. This VPA has enable us to introduce two new concepts of adaptive staring precision and multiple frequency use. All these became reality only because number and spacing between Antenna elements can be adjusted, which is not easy to implement in Physical Antenna array especially when Antenna is onboard. The proposed system is evaluated by simulation model. Suggested modifications and additions in classical MUSIC algorithm make it possible to operate the virtual Antenna system with the same precision as the Physical Antenna may have, but adding more flexibility, ease of use, cost economy, more reliability and better throughput.

Or Dicker - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    IEEE Transactions on Communications, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input–multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this paper, we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. First, we propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
    arXiv: Information Theory, 2019
    Co-Authors: Nir Shlezinger, Or Dicker, Yonina C Eldar, Mohammadreza F. Imani, David R Smith
    Abstract:

    Massive multiple-input multiple-output (MIMO) communications are the focus of considerable interest in recent years. While the theoretical gains of massive MIMO have been established, implementing MIMO systems with large-scale Antenna arrays in practice is challenging. Among the practical challenges associated with massive MIMO systems are increased cost, power consumption, and Physical size. In this work we study the implementation of massive MIMO Antenna arrays using dynamic metasurface Antennas (DMAs), an emerging technology which inherently handles the aforementioned challenges. Specifically, DMAs realize large-scale planar Antenna arrays, and can adaptively incorporate signal processing methods such as compression and analog combining in the Physical Antenna structure, thus reducing the cost and power consumption. We first propose a mathematical model for massive MIMO systems with DMAs and discuss their constraints compared to ideal Antenna arrays. Then, we characterize the fundamental limits of uplink communications with the resulting systems, and propose two algorithms for designing practical DMAs for approaching these limits. Our numerical results indicate that the proposed approaches result in practical massive MIMO systems whose performance is comparable to that achievable with ideal Antenna arrays.