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    Analysis of Resource Allocation Methods in Massive MIMO Systems using Game Theory

    , M.Sc. Thesis Sharif University of Technology Sadeghi, Ehsan (Author) ; Behrouzi, Hamid (Supervisor) ; Nasiri Kenari, Masoumeh (Co-Supervisor)
    Abstract
    Nowadays increasing demands of Bandwidth, higher data rate and efficiency cause a huge and novel challenges in communicational systems. One of the recent innovative idea to satisfy these increasing demands is Heterogeneous Networks. Compressive deployment of small cell in Heterogeneous Networks can fulfill a large number of satisfactory parameters in wireless networks. After first Presentation of Heterogeneous Networks idea, loads of structure based on them was proposed.In this Research we consider two outstanding and common structure for this technology and analyze the user association and resource allocation problem at their specific structure. The first one is equipped with simple... 

    Secure Transmission Strategies in Massive MIMO Systems in Presense of a Jammer

    , M.Sc. Thesis Sharif University of Technology Soltani, Marziyeh (Author) ; Mirmohseni, Mahtab (Supervisor)
    Abstract
    Massive MIMO systems are systems, where the base station has many number of antenna so each user’s channel is orthogonal to one another.These systems have some valuable advantages such as reduction of energy needed for transmission and significant improvement in spectral efficiency, which makes them be suitable for next generation of wireless communication systems. Another advantage of Massive MIMO systems is inherent resistance against passive eavsdroppers due to having a directed power radiation in direction of the desired user. However another physical layer attack threat these systems: attacking in pilot phase then eavsdropping in downlink phase which must taken care of in physical... 

    Resource Allocation in mmWave Massive MIMO Transmission in the Presence of Neighboring Cells Interference

    , M.Sc. Thesis Sharif University of Technology Sadeghabadi, Elahe (Author) ; Nasiri Kenari, Masoumeh (Supervisor)
    Abstract
    In Massive multiple input multiple output (MIMO) systems, due to utilizing a large antenna array in each base station, each user’s channel is orthogonal to one another. These systems have some valuable advantages such as the reduction of energy needed for transmission and significant improvement in spectral efficiency, which makes them be suitable for the next generation of wireless communication systems. In this thesis a massive MIMO working is considered on TDD mode, for wich the channel estimation is done in the base station using the pilot sequences recieved from users. At the beginning of each coherence block, users send their pilot sequences and the rest of the times is allocated to... 

    Capacity maximization in MIMO vehicular communication using a novel antenna selection algorithm

    , Article 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013, Cagliari, Sardinia ; 2013 , Pages 1246-1251 ; 9781467324793 (ISBN) Mousavi, H. S ; Khalighinejad, B ; Khalaj, B. H ; Sharif University of Technology
    2013
    Abstract
    The capacity of multiple-input multiple-output (MIMO) systems in vehicular communication is investigated throughout this paper. The goal is to consider a link between a vehicle-side and a road-side unit in presence of line-of-sight in a way that the road-side end uses all available antennas but the vehicle-side end chooses a subset of available antennas such that the link capacity becomes maximized. In order to maximize the channel capacity a criterion is derived that forces some circumstances about the configuration of antenna array in vehicle-side. If such circumstances are satisfied the channel capacity will be at its maximum. By proposing an antenna selection algorithm, the conditions... 

    A high-throughput low-complexity VLSI architecture for ZF precoding in massive MIMO

    , Article IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, 19 June 2017 through 21 June 2017 ; Volume 2017-June , 2017 ; 23784873 (ISSN) ; 9781509063024 (ISBN) Mirfarshbafan, S. H ; Shabany, M ; Nezamalhosseini, S. A ; Emadi, M. J ; Sharif University of Technology
    Abstract
    In this work we present a high-throughput, low-complexity design for linear precoding in massive Multiple-Input Multiple-Output (MIMO) systems. Large number of Base Station (BS) antennas in massive MIMO at one hand has caused the performance of linear precoders to be near-optimal and at the other hand has increased their complexity due to the need for the inversion of matrices with large dimensions. To avoid this complexity, approximate inversion methods based on Neumann Series have been proposed. However, in this work, we propose an architecture for Zero Forcing (ZF) precoder based on the Neumann Series approximate inversion that further reduces the complexity by replacing matrix-matrix... 

    Massive MIMO-NOMA systems secrecy in the presence of active eavesdroppers

    , Article 30th International Conference on Computer Communications and Networks, ICCCN 2021, 19 July 2021 through 22 July 2021 ; Volume 2021-July , 2021 ; 10952055 (ISSN); 9780738113302 (ISBN) Soltani, M ; Mirmohseni, M ; Papadimitratos, P ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MIMO) systems are highly efficient. Massive MIMO systems are inherently resistant to passive attackers (eavesdroppers), thanks to transmissions directed to the desired users. However, active attackers can transmit a combination of legitimate user pilot signals during the channel estimation phase. This way they can mislead the base station (BS) to rotate the transmission in their direction, and allow them to eavesdrop during the downlink data transmission phase. In this paper, we analyse this vulnerability in an improved system model and stronger adversary assumptions, and investigate how physical layer security... 

    A Thesis Submitted in Partial Fulfillment of the Requirement for the Degree of Master of Science in Digital Systems

    , M.Sc. Thesis Sharif University of Technology Bahari, Mohammad Hossein (Author) ; Shabany, Mahdi (Supervisor)
    Abstract
    Massive-MIMO and C-RAN are the two technologies which will be among most important parts of fifth generation (5G) stsrems. They will find widespread uses in future years. However, data transfer rate between these two technologies is a challenging problem. Also channel estimation is crucial in massive-MIMO systems. In this research, the problem of estimating the channel and the problems with the data transfer rate between these two technologies are investigated. We propose using 1-bit quantizers to solve the rate problem and also an algorithm with perfect performance in aspect of error rate is proposed. The mentioned algorithm is implemented on GPUs, which are available at C-RANs and resulted... 

    Design and Implementation of Baseband Processing Algorithms in Massive MIMO Systems

    , M.Sc. Thesis Sharif University of Technology Mirfarshbafan, Hadi (Author) ; Shabany, Mahdi (Supervisor)
    Abstract
    Massive MIMO is a key enabling technology in the fifth generation (5G) wireless communication systems. In this technology, the base station is equipped with a large number of antennas (e.g. 100-200) and communicates with a relatively smaller number of user terminals. The large number of antennas at the base station, on one hand, has enabled unprecedented improvements in data rate and energy-efficiency, while on the other hand has posed challenges on the practical deployment of this technology.One of these challenges, is the high computational complexity of the baseband processing algorithms, such as precoding, due to the large number of antennas. In this research, we propose a novel ZF... 

    Channel Estimation in Massive MIMO Systems in Modern Cellular Networks

    , M.Sc. Thesis Sharif University of Technology Fozi, Mahdi (Author) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    Telecommunications industry along energy industry will be among striking elements in improving next-generation lifestyle. With the growth of wireless communications at the heart of telecommunications industry, cellular networks as an inevitable part of our daily life, have been around as a fertile research field for both academia and industry. With the upcoming Heterogeneous Networks (HetNets), these researches are revisited to new horizons. After these shift paradigms,the proposed solutions, mostly fall into the category of network densification in terms of antenna per (active) user. Based on the strategy chosen to densify the network, we face two broad approaches: 1) Centralized... 

    Differentially encoded blind multicell multiuser massive MIMO

    , Article IEEE International Conference on Communication Workshop, ICCW 2015, 8 June 2015 through 12 June 2015 ; June , 2015 , Pages 1054-1059 ; 9781467363051 (ISBN) Fozi, M ; Khalaj, B. H ; Pesavento, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    In this paper, we consider the uplink of the narrowband multicell multiuser massive multiple-input multiple-output (MIMO) systems. In traditional approaches, orthogonal pilots among users of all (interfering) cells are utilized to estimate their channels assumed to be constant during channel coherence time. However, in multicell scenarios, such schemes suffer from pilot contamination. In order to address this issue, based on asymptotic pairwise orthogonality of the users' channels in massive regime, blind channel estimation schemes have been proposed. On the other hand, such schemes rely on low interference or high signal to noise ratio (SNR) levels, to achieve reliable performance. Inspired... 

    An adaptive feedback bit allocation method for wireless systems with transmit diversity

    , Article 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005, Kuala Lumpur, 14 November 2005 through 16 November 2005 ; 2005 , Pages 181-184 ; 1424400112 (ISBN); 9781424400119 (ISBN) Babadi, B ; Shariatpanahi, P ; Hossein Khalaj, B ; Sharif University of Technology
    2005
    Abstract
    Using multiple antenna transmitters and/or receivers is becoming a common method for improving spectral efficiency of wireless channels. The physical layer of the next generation of WLAN systems (802.11n) is based on a Multiple Input Multiple Output (MIMO) system which seems to be an efficient solution for defects which could occur in wireless channels. In this paper, we investigate an adaptive bit allocation method to feed the quantized channel state data back to the transmitting antennas, depending on the channel condition in a Multiple Input Single Output (MISO) scheme. We have proposed an adaptive bit allocation scheme with a significant performance improvement over the fixed bit... 

    Low SNR regime capacity analysis of MIMO systems using directional antennas

    , Article 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; 2008 , Pages 393-398 ; 9781424427512 (ISBN) Shariatpanahi, P ; Shishegar, A. A ; Khalaj, B. H ; Salavati, A. H ; Saligheh Rad, H. R ; Sharif University of Technology
    2008
    Abstract
    In this paper, we evaluate the capacity of Multiple-Input Multiple-Output (MIMO) systems using directional antennas in non-isotropic scattering environments. Our analytical analysis approach results in closed-form approximate formulas in low Signal to Noise Ratio (SNR) regime (in contrast to previous research works which have investigated the same problem by employing experimental or simulation frameworks). We propose an upper bound for the introduced approximate error. Our results show that MIMO systems equipped with directional antennas may have much higher capacity in nonisotropic scattering environments compared to MIMO systems equipped with omni-directional antennas. We also evaluate...