MIMO-OFDM wireless testing

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MIMO testing

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  • Preface

    The research work for this doctoral thesis was carried out at the Depart-

    ment of Signal Processing and Acoustics, School of Electrical Engineering,

    Aalto University (formerly Helsinki University of Technology), during the

    years 20062011. The work was done under the supervision of Academy

    Prof. Visa Koivunen, head of the Statistical Signal Processing group at

    the Department of Signal Processing and Acoustics, Aalto University, and

    principal investigator of SMARAD Centre of Excellence in Smart Radios

    and Wireless Research nominated by the Academy of Finland. The major

    part of the research work was done at rst at Nokia Research Center and

    later at Nokia via Helsinki University of Technology.

    I would like to express my gratitude to my supervisor, Prof. Visa Koivunen,

    for his tactful guidance during my studies and research work. His scien-

    tic advices have helped me to overcome many difculties I encountered

    in my research work. It has been a great privilege to be supervised by and

    to work together with such an excellent researcher.

    Further, I would like to thank all my co-workers, especially Martti Moisio

    and Tero Henttonen, with whom I co-authored several publications. The

    numerous discussions on the system level tools and models, their close

    guidance and fruitful cooperation have greatly contributed to my work. I

    would also like to thank Esa Pernila for the invaluable help in the simu-

    lator development.

    I would like to thank my thesis pre-examiners, Prof. Tapani Ristaniemi

    and Dr. Samuli Visuri, for the effort they put to revise the thesis and for

    their comments and suggestions.

    Furthermore, Prof. Ari Sihvola, the director of GETA Graduate School

    in Electronics, Telecommunications and Automation, and Marja Leppharju,

    the GETA coordinator are highly acknowledged.

    Special thanks go to Mirja Lemetyinen for assisting with all the practi-

    1

  • cal issues, for polishing up my Finnish language skills and for bringing a

    warm and welcoming atmosphere into the lab.

    I would like to thank all my colleagues in the department for the in-

    teresting discussions on many scientic and non-scientic aspects and

    for making the lab so pleasant place to work. Especially, I would like to

    acknowledge Mei Yen Cheong, Jan Oksanen, Tuomas Aittomki, Sachin

    Chaudhari, Pekka Jnis, Jay Rajasekharan, Mrio Costa, Taneli Riiho-

    nen, Karol Schober, Dr. Jussi Salmi, Dr. Traian Abrudan, Dr. Stefan

    Werner, Dr. Jan Eriksson, Prof. Andreas Richter, and Prof. Risto Wich-

    man.

    I would like to thank all my co-workers and colleagues at Nokia Re-

    search Center and Nokia. In particular, many thanks belong to Michal

    Hronec, Jani Puttonen, Jussi Ojala, Kennett Aschan, Elena Virtej, Markku

    Kuusela, Helka-Liina Mttnen, Dr. Timo Roman, Dr. Cssio Ribeiro,

    Dr. Klaus Hugl, Dr. Antti Sorri.

    This research was funded by the GETA graduate school, Nokia Founda-

    tion grants and Nokia projects. I sincerely appreciate the nancial sup-

    port they provided during my studies.

    I am deeply grateful to my parents and my sister for their support dur-

    ing all these years. Finally, and the most of all I would like to thank my

    husband Yaroslav and our kids Elizaveta and Theodor for bringing happi-

    ness into my life.

    Espoo, August 7, 2012,

    Alexandra Oborina

    2

  • Contents

    Preface 1

    Contents 3

    List of Publications 5

    List of abbreviations 7

    1 Introduction 11

    1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

    1.2 Scope of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . 13

    1.3 Structure of the thesis . . . . . . . . . . . . . . . . . . . . . . 15

    1.4 Summary of the publications . . . . . . . . . . . . . . . . . . 15

    2 System model 19

    2.1 MIMOOFDM system model . . . . . . . . . . . . . . . . . . 19

    2.2 Overview of MIMO performance gains . . . . . . . . . . . . . 20

    2.3 MIMO techniques . . . . . . . . . . . . . . . . . . . . . . . . . 21

    2.3.1 Beamforming . . . . . . . . . . . . . . . . . . . . . . . 21

    2.3.2 Diversity . . . . . . . . . . . . . . . . . . . . . . . . . . 22

    2.3.3 Spatial multiplexing . . . . . . . . . . . . . . . . . . . 24

    2.3.4 MIMO multiplexing diversity trade-off . . . . . . . . . 25

    2.3.5 MIMO schemes in LTE DL . . . . . . . . . . . . . . . . 26

    3 System Level Simulator 27

    3.1 Dynamic, static and semistatic simulators . . . . . . . . . . 29

    3.2 Simulator description . . . . . . . . . . . . . . . . . . . . . . . 31

    3.3 Radio Resource Management . . . . . . . . . . . . . . . . . . 32

    3.3.1 Channel quality measurements . . . . . . . . . . . . . 33

    3.3.2 Rank adaptation . . . . . . . . . . . . . . . . . . . . . . 33

    3

  • 3.3.3 Scheduling . . . . . . . . . . . . . . . . . . . . . . . . . 34

    3.3.4 Link adaptation . . . . . . . . . . . . . . . . . . . . . . 36

    3.3.5 HybridARQ . . . . . . . . . . . . . . . . . . . . . . . . 37

    3.3.6 Handover . . . . . . . . . . . . . . . . . . . . . . . . . . 38

    3.4 Simulation scenario . . . . . . . . . . . . . . . . . . . . . . . . 39

    3.5 Performance evaluation . . . . . . . . . . . . . . . . . . . . . 41

    3.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

    4 Link-to-System Interface 47

    4.1 Traditional L2S interface . . . . . . . . . . . . . . . . . . . . . 49

    4.2 Generic L2S interface . . . . . . . . . . . . . . . . . . . . . . . 51

    4.3 Effective SINR mapping . . . . . . . . . . . . . . . . . . . . . 53

    4.3.1 Calibration of the scaling parameter . . . . . . . . . 57

    4.4 Comparison of effective SINR mappings . . . . . . . . . . . . 58

    4.5 EESM distribution . . . . . . . . . . . . . . . . . . . . . . . . 61

    4.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

    5 System capacity and performance evaluation 65

    5.1 MIMO capacity . . . . . . . . . . . . . . . . . . . . . . . . . . 65

    5.1.1 MIMOOFDM capacity . . . . . . . . . . . . . . . . . . 67

    5.2 Rank adaptation using capacity approach . . . . . . . . . . . 68

    5.3 Results on performance . . . . . . . . . . . . . . . . . . . . . . 68

    6 Summary 73

    Bibliography 75

    Publications 87

    4

  • List of Publications

    This thesis consists of an overview and of the following publications which

    are referred to in the text by their Roman numerals.

    I M. Moisio, A. Oborina. Comparison of Effective SINR Mapping with

    Traditional AVI Approach for Modeling Packet Error Rate in Multi-

    State Channel. Lecture Notes in Computer Science, vol. 4003/2006,

    pp. 461473, June 2006.

    II A. Oborina, M. Moisio, T. Henttonen, E. Pernila, V. Koivunen. MIMO

    Performance Evaluation in UTRAN Long Term Evolution Downlink. In

    The 42nd Annual IEEE Conference on Information Sciences and Sys-

    tems, USA, Princeton, NJ, pp. 11791183, March 2008.

    III A. Oborina, M. Moisio, V. Koivunen. Performance of Mobile MIMO

    OFDM Systems With Application to UTRAN LTE Downlink. Accepted

    in IEEE Transactions onWireless Communications, In Press, to Appear

    in 2012.

    IV A. Oborina, M. Moisio, V. Koivunen. Ergodic System Capacity of

    Mobile MIMO Systems using Adaptive Modulation. In IEEE 21st Inter-

    national Symposium on Personal, Indoor and Mobile Rad

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