Aalborg Universitet Measurement, Modelling and Performance

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Aalborg Universitet Measurement, Modelling and Performance Aalborg Universitet Measurement, modelling and performance evaluation of the MIMO radio channel Kermoal, Jean Philippe Publication date: 2002 Document Version Publisher's PDF, also known as Version of record Link to publication from Aalborg University Citation for published version (APA): Kermoal, J. P. (2002). Measurement, modelling and performance evaluation of the MIMO radio channel. Department of Electronic Systems, Aalborg University. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? 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Downloaded from vbn.aau.dk on: December 27, 2020 Measurement, Modelling and Performance Evaluation of the MIMO Radio Channel Jean-Philippe Kermoal A thesis submitted in partial fulfilment of the requirements of Aalborg University for the degree of Doctor of Philosophy August 2002 Examination Committee: Research Associate Dr. Persefoni Kyritsi (Aalborg University) - Meeting chairwoman Associate Research Professor Patrick Eggers (Aalborg University) - Chairman’s opponents Adjunct associate professor Dr. David Gesbert (Oslo University) - Opponent Expert in Radio Communications Dr. Peter Karlsson (Telia Research) - Opponent Center for PersonKommunikation - Aalborg University, Denmark Supervisors Research Professor Dr. Preben Mogensen, Aalborg University Assistant Research Professor Dr. Laurent Schumacher, Aalborg University Professor Dr.Techn. Jørgen Bach Andersen, Aalborg University Distributor: Center for PersonKommunikation, Department of Communication Technology, Institute of Electronic Systems, Aalborg University, Niels Jernes Vej 12, A6 Aalborg 9220, Denmark Copyright c 2002 Jean-Philippe Kermoal. All rights reserved. ISBN 87-90834-29-1 (Courtesy from [1]) iv Preface and Acknowledgement Over the three years of the PhD duration, I have been lucky to work with some of the most renowned researchers in the wireless community. I am extremely glad that I had the opportunity to perform a PhD having a daily contact with industry through Nokia Networks. When thinking back of my first day in Denmark and the achievement of todays work, I am beholden to a long list of research colleagues, friends and family. First of all, it is to be clear and repeated that this work is the result of a team effort. This means that without the help of my research colleagues, the work would never have reached the quality presented here. I would like to thank my supervisors, Preben E. Mogensen for his vision, support and encouragement during these 3 years; Laurent Schumacher for his knowledge in mathematics, his accuracy and organisation; Jørgen B. Andersen for the few but very valuable discussions. I would also like to thank Søren H. Jensen who was part of my supervision team in the first year. A special acknowledgement goes to Frank Frederiksen (now Nokia Networks) who provided me with the excellent engineering of the RF equipment and the control of the slide during the measurement campaign. I shall remember his tremendous help in operating the system, the numerous discussions, and his valuable Danish lessons. During the measurement campaign I was also assisted by Troels B. Sørensen, Laurent Schumacher, and Albert A. Escapa. Their help is deeply acknowledged. The staff of the Radio Frequency lab who worked in the shadow and provided quality equipment, especially Tage Andersen (now retired), Peter B. Jensen, Peter Dissing, and Steen L. Larsen should be acknowledged. Special thanks to the staff from the Mechanical Department, Klaus Kjær, Leif Jepsen, and Daniel Jørgensen who provided some of the hardware equipment. The radiation pattern measurements of the sleeve dipole antennas are to be credited to Gert F. Pedersen. A special appreciation is to be given to Juha Ylitalo for arranging my stay at Nokia Networks in Oulu (Finland) and also to Esa Tiirola, for their guidance during my presence among them and their warm welcome to sauna-land. I am grateful to my colleagues and former colleagues, Troels B. Sørensen, Klaus I. Pedersen (now Nokia Networks), Persefoni Kyritsi for the valuable technical and sci- vi Preface and Acknowledgement entific discussions. Special thanks to Troels B. Sørensen, Persefoni Kyritsi, Thomas Klingenbrunn (now Qualcomm), Frank Frederiksen, Laurent Schumacher, Preben E. Mogensen and Jørgen B. Andersen for their comments on the PhD manuscript. Not to forget Charles Hoequist for proof reading this thesis. I can only confess that I learned a lot during these three years, but this PhD made me realise that learning is an endless process, like the dana¨ıdes filling up endlessly their bottomless barrel. Last but certainly not least, I want to thank my family for their support, and definitely not the least, Rikke, for her patience and understanding during the tough time despite my moody Breton temper. You all did believe in me and I thank you for that. Jean Philippe Kermoal August 2002 About the author Jean Philippe Kermoal was born in Paris, France, in 1972. He graduated from the In- stitut Universitaire de Technologie (IUT) in Rennes, France, in 1994. Later he received his B.Sc. in 1995 and his M.Phil. degree in 1998 from the University of Glamorgan, South Wales, UK. After a brief career as a conscript officer in the French Air Force, he started his Ph.D. programme on multi-element transmit and receive antenna ar- rays for wireless communication systems at Aalborg University, Aalborg, Denmark in 1999. His research interests include MIMO radio channel characterization, adaptive antenna array, indoor and outdoor mobile communication propagation at microwave and millimetre-wave bands and broadband wireless systems. As of November 2002, he is working as a research engineer at Nokia Research Center, Helsinki, Finland. viii About the author Abstract The performance of a new technology known as MIMO (Multi Input Multi Output), which involves a state-of-the-art combination of MEAs (Multi Element Array) and digital signal processing, is introduced to achieve higher spectral efficiency compared to the conventional SISO (Single Input Single Output) technology currently deployed in wireless communication systems. The MIMO concept is defined as a radio link with M elements at one end and N elements at the other end. The main benefits of using the MIMO technology lie in the creation of min(M, N) orthogonal information subchannels, the combination of Tx and Rx diversity, and the increased antenna gain. The performance of the MIMO technology is directly dependent on the correlation properties of the MIMO radio propagation channel and the BPR (Branch Power Ratio) at the MEAs. This new technology is investigated in this thesis considering the radio propagation channel aspect. The objective of this study is to provide extensive MIMO measure- ment campaigns in order to extract propagation parameters from the measured data. Consequently, the propagation radio channel can be understood and the performance of the MIMO technology interpreted. In addition, the measured data are used to vali- date a stochastic MIMO radio channel model for both the spatial and the polarization domain in the narrowband condition. Another objective of this study is to evaluate the performance of the MIMO technology by means of theoretical Shannon capacity results derived from measured and simulated data. Conclusions and recommendations are proposed in order to implement the MIMO tech- nology in the most efficient manner. The MIMO technology works in two ways: the diversity MIMO and the information MIMO. At low SNRs, MIMO systems only pro- vide a combined Tx and Rx diversity because only the strongest eigenvalue is excited whereas at high SNRs, the MIMO technology fully benefits from parallel subchan- nelling, i.e., more than one eigenvalue is excited. Therefore, the MIMO technology is very well suited for adding diversity gain and increasing coverage, however at the expense of not providing a high bit rate. When high peak data rate is desired, a com- bination of large numbers of decorrelated elements at both MEAs (with equal BPR) and large SNR is necessary. x Abstract Dansk Resum´e Der indføres en ny teknologi, som kaldes MIMO (Multi Input Multi Output). Den omfatter en meget avanceret kombination af MEAs (Multi Element Array) og digi- tal signal-behandling, s˚aledesat man opn˚arhøjere spektral-effektivitet sammenlignet med den konventionelle SISO (Single Input Single Output) teknologi, som nuværende radiokommunikationssystemer anvender. MIMO konceptet defineres som et radiolink med M elementer i den ene ende og N elementer i den anden ende. Den største fordel ved at bruge MIMO teknologien ligger i at skabe min (M,N) uafhængige informations-underkanaler, kombinere Tx og Rx variationen og forøge antenne-forstærkningen. Udførelsen af MIMO teknologien afhænger direkte af korrelationsegenskaberne af MIMO radio-udbredelses-kanalen. Denne nye teknologi undersøges her, hvor man tager radio-udbredelses-kanalen i be- tragtning. Form˚alet med denne undersøgelse er at sørge for en omfattende MIMO m˚alekampagne, s˚aledesat udbredelses-parametrene kan uddrages af de m˚altedata. Følgelig kan radio-udbredelses-kanalen forst˚as,og potentialet af MIMO teknologien fortolkes. Desuden bruges de m˚alte data til at efterprøve en stokastisk MIMO ra- diokanal model for b˚adedet rumlige og polariserings-domænet i smalb˚ands-tilfældet. Et andet form˚almed denne undersøgelse er at skaffe kapacitetsresultater fra m˚alteog simulerede data. Konklusioner og anbefalinger er foresl˚aetmed henblik p˚aat imple- mentere MIMO teknologien p˚aden mest effektive m˚ade.
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