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5G Wireless

Title
Innovative Architectures, Wireless Technologies and Tools for High Capacity and Sustainable 5G Ultra-Dense Cellular Networks
Funding
EC | H2020 | MSCA-ITN-ETN
Call
H2020-MSCA-ITN-2014
Contract (GA) number
641985
Start Date
2015/01/01
End Date
2018/12/31
Open Access mandate
yes
Data Pilot
no
Organizations
TTI, LIU, SIRADEL, HWU, EAB, IQUADRAT, CNRS, OTE ACADEMY, TUD, UPC
More information
Detailed project information (CORDIS)

 

  • How Much Do Downlink Pilots Improve Cell-Free Massive MIMO?

    Interdonato, Giovanni; Ngo, Hien Quoc; Larsson, Erik G.; Frenger, Pål (2016)
    Projects: EC | 5G Wireless (641985)
    In this paper, we analyze the benefits of including downlink pilots in a cell- free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink and downlink channel estimation errors, and power control. A performance comparison is carried out, in terms of per-user net throughput, considering cell-free massive MIMO operation with and without downlink training, for different network densities. We take...

    Mixing Deterministic and Stochastic Propagation for Assessing MmWave Small-cell Networks

    Romain Charbonnier; Mohammed Zahid Aslam; Yoann Corre; Yves Lostanlen (2017)
    Projects: EC | 5G Wireless (641985)
    Ray-based and hybrid propagation models are today considered as valuable solutions to fulfill 5G wireless channel modeling requirements. They are a complement or alternative to the stochastic approaches when link-level and system-level simulations deal with millimeter-wave (mmWave), ultra-dense deployment and/or large antenna arrays. The present article proposes an extension of an urban ray-based model for the assessment of a 60-GHz outdoor small-cell network. The multi-paths are predicted fr...

    MIMO Cellular Networks with Simultaneous Wireless Information and Power Transfer

    TU , Lam Thanh; Di Renzo , Marco; Coon , Justin P. (2016)
    Projects: EC | 5G Wireless (641985)
    International audience; In this paper, we introduce a mathematical approach for system-level analysis and optimization of densely deployed multiple-antenna cellular networks, where low-energy devices are capable of decoding information data and harvesting power simultaneously. The base stations are assumed to be deployed according to a Poisson point process and tools from stochastic geometry are exploited to quantify the trade-off in terms of information rate and harvested power. It is shown ...

    Performance of Media-based Modulation in Multi-user Networks

    Yüzgeçcioğlu, Merve; Jorswieck, Eduard (2018)
    Projects: EC | 5G Wireless (641985)
    High spectral efficiency and low power consumption are the most challenging requirements of 5G networks since the number of devices are increased drastically. Media-based modulation (MBM) is a promising scheme in order to achieve these requirements. In this paper, the spectral efficiency of MBM scheme in single- and multi-user networks is studied. To find the spectral efficiency, information theoretical methods are used and tight lower- and upper-bounds are derived for the achievable rate. Th...

    Multi-flow Glossy: Physical-layer Network Coding Meets Embedded Wireless Systems

    Abdelrahman Abdelkader; Johannes Richter; Eduard A. Jorswieck; Marci Zimmerling (2017)
    Projects: EC | 5G Wireless (641985)
    Emerging applications like wireless control or drone swarms require low-latency communication across multiple hops among a large number of both static and mobile devices. Recent protocols based on synchronous transmissions can meet most of these requirements. In particular, Glossy comes extremely close to the minimum lower latency bound for flooding a single packet. However, when multiple packets need to be exchanged, the overall latency increases linearly since each packet must be mapped ont...

    Hybrid Beamforming with Spatial Modulation in Multi-user Massive MIMO mmWave Networks

    Yüzgeçcioglu, Merve; Jorswieck, Eduard (2017)
    Projects: EC | 5G Wireless (641985)
    The cost of radio frequency (RF) chains is the biggest drawback of massive MIMO millimeter wave networks. By employing spatial modulation (SM), it is possible to implement lower number of RF chains than transmit antennas but still achieve high spectral efficiency. In this work, we propose a system model of the SM scheme together with hybrid beamforming at the transmitter and digital combining at the receiver. In the proposed model, spatially-modulated bits are mapped onto indices of antenna a...

    Multi-Cell Massive MIMO Performance with Double Scattering Channels

    Van Chien, Trinh; Björnson, Emil; Larsson, Erik G. (2016)
    Projects: EC | 5G Wireless (641985)
    This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output (MIMO) using different channel models. Prior works have derived closedform SE bounds and approximations for Gaussian distributed channels, while we consider the double scattering model—a prime example of a non-Gaussian channel for which it is intractable to obtain closed form SE expressions. The channels are estimated using limited resources, which gives rise to pilot contamination, and the...

    A Successive Optimization Approach to Pilot Design for Multi-Cell Massive MIMO Systems

    Al-Salihi, Hayder; Chien, Trinh Van; Le, Tuan Anh; Nakhai, Mohammad Reza (2018)
    Projects: EC | 5G Wireless (641985)
    In this letter, we introduce a novel pilot designapproach that minimizes the total mean square errors of theminimum mean square error estimators of all base stations (BSs)subject to the transmit power constraints of individual users inthe network, while tackling the pilot contamination in multicellmassive MIMO systems. First, we decompose the originalnon-convex problem into distributed optimization sub-problemsat individual BSs, where each BS can optimize its own pilotsignals given the knowle...

    How Much Do Downlink Pilots Improve Cell-Free Massive MIMO?

    Giovanni Interdonato; Hien Quoc Ngo; Erik G. Larsson (2016)
    Projects: EC | 5G Wireless (641985)
    In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink and downlink channel estimation errors, and power control. A performance comparison is carried out, in terms of per-user net throughput, considering cell-free massive MIMO operation with and without downlink training, for different network densities. We t...

    Distributed Power Control in Downlink Cellular Massive MIMO Systems

    Trinh Van Chien,; Emil Björnson; Erik G. Larsson; Tuan Anh Le (2018)
    Projects: EC | 5G Wireless (641985)
    This paper compares centralized and distributed methods to solve the power minimization problem with quality-of-service (QoS) constraints in the downlink (DL) of multi-cell Massive multiple-input multiple-output (MIMO) systems. In particular, we study the computational complexity, number of parameters that need to be exchanged between base stations (BSs), and the convergence of iterative implementations. Although a distributed implementation based on dual decomposition (which only requires st...
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