Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas Thomas L
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Applying Distributed Orthogonal Space Time Block Coding in Cooperative Communication Networks
APPLYING DISTRIBUTED ORTHOGONAL SPACE TIME BLOCK CODING IN COOPERATIVE COMMUNICATION NETWORKS JAMES ADU ANSERE ODION EHIMIAGHE This thesis is presented as part of the Degree of Master of Science in Electrical Engineering with emphasis on Telecommunication Blekinge Institute of Technology April 2012 School of Engineering Department of Electrical Engineering Blekinge Institute of Technology, Sweden Supervisor: Professor Abbas Mohammed ABSTRACT In this research, we investigate cooperative spectrum sensing using distributed orthogonal space time block coding (DOSTBC). Multiple antennas are introduced at the transmitter and the receiver to achieve higher cooperative diversity in the cooperative wireless (CW) networks. The received signals from the primary users (PUs) at the cooperative relays (CRs) are encoded and retransmitted to the cooperative controller (CC), where further decisions are made depending on the information sent from the CRs. The cooperative relaying protocol employed here in CRs is based on decoding forward (DF) technique. The proposed Alamouti scheme in orthogonal space time block code (OSTBC) has been found to enhance detection performance in CW networks. The analyses over independent Rayleigh fading channels are performed by the energy detector. In CW networks the secondary users (SUs) use the available frequency band as the PUs is absent. The SU discontinue using the licensed band and head off as soon as the PU is present. The SUs is more responsive and intelligent in detecting the spectrum holes. The principal aim of the CW network is to use the available holes without causing any interference to the PUs. The CRs are preferably placed close to the PU to detect transmitted signal, with decoding capability the information collected are decoded by CRs using Maximum Likelihood (ML) decoding technique. -
Understanding Mmwave for 5G Networks 1
5G Americas | Understanding mmWave for 5G Networks 1 Contents 1 Introduction ..................................................................................................................................................... 6 2 Status of Millimeter Wave Spectrum ............................................................................................................. 9 2.1 Regional Status ........................................................................................................................................... 9 2.2 Global Millimeter Wave Auctions .............................................................................................................12 3 Millimeter Wave Technical Rules in the United States ...............................................................................15 3.1 Licensed Spectrum ..................................................................................................................................15 3.2 Lightly Licensed .......................................................................................................................................16 3.3 Unlicensed Spectrum ..............................................................................................................................17 4 Millimeter Wave Challenges and Opportunities ..........................................................................................19 4.1 Losses in Millimeter Wave .......................................................................................................................19 -
Vision and Requirements for the Satellite Radio Interface(S) of IMT-Advanced
Report ITU-R M.2176 (07/2010) Vision and requirements for the satellite radio interface(s) of IMT-Advanced M Series Mobile, radiodetermination, amateur and related satellites services ii Rep. ITU-R M.2176 Foreword The role of the Radiocommunication Sector is to ensure the rational, equitable, efficient and economical use of the radio-frequency spectrum by all radiocommunication services, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication Assemblies supported by Study Groups. Policy on Intellectual Property Right (IPR) ITU-R policy on IPR is described in the Common Patent Policy for ITU-T/ITU-R/ISO/IEC referenced in Annex 1 of Resolution ITU-R 1. Forms to be used for the submission of patent statements and licensing declarations by patent holders are available from http://www.itu.int/ITU-R/go/patents/en where the Guidelines for Implementation of the Common Patent Policy for ITU-T/ITU-R/ISO/IEC and the ITU-R patent information database can also be found. Series of ITU-R Reports (Also available online at http://www.itu.int/publ/R-REP/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between fixed-satellite and fixed service systems SM Spectrum management Note: This ITU-R Report was approved in English by the Study Group under the procedure detailed in Resolution ITU-R 1. -
Separable MSE-Based Design of Two-Way Multiple-Relay Cooperative MIMO 5G Networks
sensors Letter Separable MSE-Based Design of Two-Way Multiple-Relay Cooperative MIMO 5G Networks Donatella Darsena 1,2 , Giacinto Gelli 2,3, Ivan Iudice 4 and Francesco Verde 2,3,* 1 Department of Engineering, University of Naples Parthenope, I-80143 Naples, Italy; [email protected] 2 National Inter-University Consortium for Telecommunications (CNIT), I-80125 Naples, Italy; [email protected] 3 Department of Electrical Engineering and Information Technology, University of Naples Federico II, I-80125 Naples, Italy 4 Italian Aerospace Research Centre (CIRA), I-81043 Capua, Italy; [email protected] * Correspondence: [email protected] Received: 26 September 2020; Accepted: 31 October 2020; Published: 4 November 2020 Abstract: While the combination of multi-antenna and relaying techniques has been extensively studied for Long Term Evolution Advanced (LTE-A) and Internet of Things (IoT) applications, it is expected to still play an important role in 5th Generation (5G) networks. However, the expected benefits of these technologies cannot be achieved without a proper system design. In this paper, we consider the problem of jointly optimizing terminal precoders/decoders and relay forwarding matrices on the basis of the sum mean square error (MSE) criterion in multiple-input multiple-output (MIMO) two-way relay systems, where two multi-antenna nodes mutually exchange information via multi-antenna amplify-and-forward relays. This problem is nonconvex and a local optimal solution is typically found by using iterative algorithms based on alternating optimization. We show how the constrained minimization of the sum-MSE can be relaxed to obtain two separated subproblems which, under mild conditions, admit a closed-form solution. -
Linear Precoding and Equalization for Network MIMO with Partial Cooperation Saeed Kaviani, Student Member, IEEE, Osvaldo Simeone, Senior Member, IEEE, Witold A
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 61, NO. 5, JUNE 2012 2083 Linear Precoding and Equalization for Network MIMO With Partial Cooperation Saeed Kaviani, Student Member, IEEE, Osvaldo Simeone, Senior Member, IEEE, Witold A. Krzymien,´ Senior Member, IEEE, and Shlomo Shamai (Shitz), Fellow, IEEE Abstract—A cellular multiple-input–multiple-output (MIMO) network-level interference management appears to be of fun- downlink system is studied, in which each base station (BS) trans- damental importance to overcome this limitation and harness mits to some of the users so that each user receives its intended the gains of MIMO technology. Confirming this point, multicell signal from a subset of the BSs. This scenario is referred to as network MIMO with partial cooperation since only a subset cooperation, which is also known as network MIMO, has been of the BSs is able to coordinate their transmission toward any shown to significantly improve the system performance [3]. user. The focus of this paper is on the optimization of linear Network MIMO involves cooperative transmission by multi- beamforming strategies at the BSs and at the users for network ple base stations (BSs) to each user. Depending on the extent of MIMO with partial cooperation. Individual power constraints at multicell cooperation, network MIMO reduces to a number of the BSs are enforced, along with constraints on the number of streams per user. It is first shown that the system is equivalent to scenarios, ranging from a MIMO broadcast channel (BC) [4] in a MIMO interference channel with generalized linear constraints case of full cooperation among all BSs to a MIMO interference (MIMO-IFC-GC). -
Distributed Cooperative MIMO in Beyond 2020 Wireless Networks
Distributed Cooperative MIMO in Beyond 2020 Wireless Networks Departamento de Comunicaciones Universitat Polit`ecnicade Val`encia A thesis submitted for the degree of Doctor por la Universitat Polit`ecnica de Val`encia Valencia, February 2016 Author: Jorge Cabrejas Pe~nuelas Supervisors: Dr. Jos´eF. Monserrat del R´ıo Dr. Narc´ısCardona Marcet A mis padres, a mis hermanas y a Merche. Abstract Mobile communication systems are currently being developed with the aim of providing peak data rates up to 20 times higher to those of Long Term Evolution (LTE)-Advanced Release 10. However, this performance improvement is often far from being the experimented performance by all users, especially, for those users who are far from the base station. In this sense, there exists a consensus within the international scientific community on the fact that the best way to achieve the same quality for all users is with the use of heterogeneous networks composed of macrocells, microcells, femtocells, and relays. This dissertation addresses the use of mobile relays to provide service to users who are out-of-coverage or undergo low data rates as they are located at the cell-edge. Mobile relaying is a natural extension of the fixed relay in which users who are in the idle state could retransmit signals received from other transmitters to enhance signal quality and consequently data rates. The use of mobile relaying could make the data boost required by the future Fifth Generation (5G) affordable. Our investigations employ a simulation platform that includes link-level and system-level simulations. This dissertation focuses on proposing and evaluating new techniques that manage the use of the mobile relay in the new generation cellular networks. -
Full-Duplex Multi-Antenna Base-Stations with Reduced Complexity
Full-Duplex Multi-Antenna Base-Stations with Reduced Complexity Von der Fakult at¨ f ur¨ Ingenieurwissenschaften, Abteilung Elektrotechnik und Informationstechnik der Universit at¨ Duisburg-Essen zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) genehmigte Dissertation von Nidal Zarifeh aus Damaskus, Syrien Gutachter: Prof. Dr.-Ing. Thomas Kaiser Prof. Dr.-Ing. Iyad Dayoub Tag der m undlichen¨ Pr ufung:¨ 11.12.2019 Diese Dissertation wird über DuEPublico, dem Dokumenten- und Publikationsserver der Universität Duisburg-Essen, zur Verfügung gestellt und liegt auch als Print-Version vor. DOI: 10.17185/duepublico/71452 URN: urn:nbn:de:hbz:464-20200401-083152-2 Alle Rechte vorbehalten. Fachgebiet Digitale Signalverarbeitung (DSV) Universit at¨ Duisburg-Essen Bismarckstrasse 81 47057 Duisburg Germany Tel.: +49 (203) 3 79-32 87 Fax : +49 (203) 3 78-34 98 Referent: Prof. Dr.-Ing. Thomas Kaiser Co-Referent: Prof. Dr.-Ing Iyad Dayoub Vorsitzende: Prof. Dr.-Ing. Holger Vogt Tag der Promotion: 11.12.2019 ©Nidal Zarifeh Alle Rechte, insbesondere das der Ubersetzung¨ in fremde Sprachen, vorbehalten. Ohne Genehmigung des Autors ist es nicht gestattet, dieses Heft ganz oder teilweise auf fotomechanischem, elektronischem oder sonstigem Wege zu vervielf altigen¨ zu vervielf altigen.¨ Acknowledgment I would like to express my gratitude to my supervisor Prof. Dr.-Ing. Thomas Kaiser, who gave me the honor to work, and pursue my PhD, in the institute of Digital Signal Processing (DSV), in University of Duisburg-Essen. For me, he is not a supervisor but a mentor, he is not a boss but a leader, he presents no instructions but inspiration. I’m deeply grateful for his support, encouragement and understanding. -
UNIFIED MIMO-MULTICARRIER DESIGNS: STSK APPROACH 551 Dispersive Wideband Channels Into a Number of Low-Rate Par- Allel Narrowband Frequency-flat Subchannels
550 IEEE COMMUNICATION SURVEYS & TUTORIALS, VOL. 17, NO. 2, SECOND QUARTER 2015 Unified MIMO-Multicarrier Designs: A Space–Time Shift Keying Approach Mohammad Ismat Kadir, Shinya Sugiura, Senior Member, IEEE, Sheng Chen, Fellow, IEEE, and Lajos Hanzo, Fellow, IEEE Abstract—A survey and tutorial is provided on the subject of throughput of a MIMO system may be increased linearly with multiple-input–multiple-output (MIMO) multicarrier (MC) sys- the number of antennas [1], [2]. Apart from this multiplexing tems relying on the space–time shift keying (STSK) concept. We gain, MIMOs are also capable of benefiting from a spatial commence with a brief review of the family of MIMO systems, which is followed by the design of STSK systems in the context diversity gain that is attained by the spatially separated of MC modulation-based transmissions over dispersive wireless antennas in a dense multipath scattering environment, provided channels. Specifically, the STSK scheme is amalgamated with that the antenna-elements are sufficiently far apart for the sake orthogonal frequency-division multiplexing, MC code-division of experiencing independent fading. Thus MIMO systems have multiple access, orthogonal frequency-division multiple access the potential of improving both the spectral efficiency and the (OFDMA), and single-carrier frequency-division multiple access. We also provide a rudimentary introduction to MC differential link reliability of future wireless communications systems. STSK employing both conventional differential detection and The employment of multiple antenna elements (AEs) may multiple-symbol differential sphere decoding for the sake of dis- be expected to exhibit flexibility in terms of striking a com- pensing with channel estimation. -
Channel Sounding for Multi-User Massive MIMO in Distributed Antenna System Environment
electronics Article Channel Sounding for Multi-User Massive MIMO in Distributed Antenna System Environment Seoyoung Yu † and Jeong Woo Lee *,† School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-2-820-5734 † Current address: 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. Received: 20 November 2018; Accepted: 21 December 2018; Published: 1 January 2019 Abstract: We propose a generation scheme for a sounding reference signal (SRS) suitable for supporting a large number of users in massive multi-input multi-output (MIMO) system with a distributed antenna system (DAS) environment. The proposed SRS can alleviate the pilot contamination problem which occurs inherently in the multi-user system due to the limited number of orthogonal sequences. The proposed SRS sequence is generated by applying a well-chosen phase rotation to the conventional LTE/LTE-A SRS sequences without requiring an increased amount of resource usage. We also propose using the correlation-aided channel estimation algorithm as a supplemental scheme to obtain more reliable and refined channel estimation. It is shown that the proposed SRS sequence and the supplemental channel estimation scheme improve significantly the channel estimation performance in multi-user massive MIMO systems. Keywords: massive multi-input multi-output (MIMO); distributed antenna systems (DAS); sounding reference signal (SRS); channel estimation 1. Introduction It is expected that the amount of mobile wireless traffic in 2020 will be 1000 times higher than that of 2010 [1–3]. Along with the dramatic growth in the demand for wireless communications, performance requirements for data rate, spectral efficiency and energy efficiency are also getting higher [4–6]. -
Massive MIMO and Hybrid Optimization for It's Beamforming
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019 Massive MIMO and Hybrid Optimization for It's Beamforming Saurabh M Patel, Kiritkumar R Bhatt Abstract: The tremendous growth of traffic in wireless This greatly improvises wireless mobile link and hence the communication (WC) system has resulted in inadequate network performance of the system. Diversity of user equipment and th capacity. 5 Generation (5G) is seen as next generation wireless BS is added benefit. Final stage of M-MIMO will now be communication system implemented with massive multiple-input multiple-output (M-MIMO) technology. It will play major role in smart antenna which effectively transmit power in desired future communication system. M-MIMO objective is high direction and suppress undesired user. throughput and high speed. Beamforming technique is a key to Smart antenna concept is used in MIMO relay network. high throughput objective - achieved by reduction in errors Vouyioukas et al.[2] (2013) used different topologies in occurring in data transmission and reception. The intent of this MIMO relay network and checked performance of adopted research paper is to review - beam forming techniques BF technique. The survey was based on challenges faced in implemented in M-MIMO and research work in this particular area. Paper classifies optimized beamforming techniques in detail opportunistic and cooperative systems, like spectral for determining appropriate techniques that can be deployed in efficiency, issues of diversity, degree of freedom, power M-MIMO. Understanding limitations of present techniques and consumption and complexity, feedback and channel suggesting new approach for better throughput is outcome of estimation, BF channel modeling, interference modeling and retrospective analysis. -
Performance Bounds for Very Large Multiuser MIMO Systems
Link¨opingStudies in Science and Technology Thesis No. 1562 Performance Bounds for Very Large Multiuser MIMO Systems Hien Quoc Ngo Division of Communication Systems Department of Electrical Engineering (ISY) Link¨opingUniversity, SE-581 83 Link¨oping,Sweden www.commsys.isy.liu.se Link¨oping2012 This is a Swedish Licentiate Thesis. The Licentiate degree comprises 120 ECTS credits of postgraduate studies. Performance Bounds for Very Large Multiuser MIMO Systems c 2012 Hien Quoc Ngo, unless otherwise noted. LIU-TEK-LIC-2012:47 ISBN 978-91-7519-729-6 ISSN 0280-7971 Printed in Sweden by LiU-Tryck, Link¨oping2012 Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop questioning. -Albert Einstein Abstract The last ten years have seen significant advances of multiuser MIMO (MU- MIMO) in wireless communication. MU-MIMO is now being introduced in several new generation wireless standards (e.g., LTE-Advanced, 802.16m). The number of users is increasing with more and more applications. At the same time, high transmission data rates and communication reliability are required. Furthermore, there is a growing concern about green commu- nication which relates to the effects of the radiation emitted from wireless devices on the human body. Therefore, future MU-MIMO systems have to satisfy three main requirements: i) serving many autonomous users in the same time-frequency resource, ii) having high data rate and communication reliability, and iii) less energy consumption/radiation. These are seemingly contradictory requirements since the more users are served, the more inter- ference the systems will suffer from, and the higher the data rate is, the more power is required. -
An Overview of Transmission Theory and Techniques of Large-Scale
1 An Overview of Transmission Theory and Techniques of Large-scale Antenna Systems for 5G Wireless Communications Dongming Wang, Yu Zhang, Hao Wei, Xiaohu You, Fellow, IEEE, Xiqi Gao, Fellow, IEEE, and Jiangzhou Wang, Senior Member, IEEE Abstract To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation. Index Terms The fifth generation mobile communication, massive MIMO, large-scale distributed antenna systems, spectral arXiv:1605.03426v1 [cs.IT] 11 May 2016 efficiency, channel state information acquisition, multi-user MIMO, resource allocation. I. INTRODUCTION In recent years, mobile data traffic has been increasing almost exponentially.