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Enregistrement W1975375851 · doi:10.1080/03772063.2005.11416398

Open-Loop and Closed-Loop Transmit Diversity Techniques—Overview and New Results

2005· article· en· W1975375851 sur OpenAlex

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Notice bibliographique

RevueIETE Journal of Research · 2005
Typearticle
Langueen
DomaineComputer Science
ThématiqueCooperative Communication and Network Coding
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWirelessExcellenceTelecommunicationsTelecommunications engineeringComputer scienceCommunications systemEngineeringComputer engineering

Résumé

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AbstractWe present an overview of multiple-input multiple-output (MIMO) wireless communication systems followed by some of the new techniques proposed by us to enhance performance. Firstly, some of the popular transmit and receive diversity schemes available in the literature are discussed and issues like diversity, rate, power distribution, decoding complexity, decoding delay, amount of feedback and feedback delay and their tradeoffs to achieve reliable and cost effective communications are described. We then analyze the merits and demerits of some of the open-loop (no feedback) and closed-loop (with feedback) schemes, and discuss various methods proposed by us recently to improve the performance of such schemes. The symbol error rate (SER) performance of the various schemes are compared through computer simulations.Indexing terms: MIMO systemsFeedbackDiversitySpace-time codingOpen-loopClosed-loop Additional informationNotes on contributorsJ Klutto MillethJ Klutto Milleth received bachelor and Master of Engineering Degrees in Electronics and Communication Engineering from the Madurai Kamaraj University, Madurai, India in 1990 and 1995, respectively. He completed PhD degree in Electrical Engineering from the Indian Institute of Technology Madras, India in 2004.He was working as a faculty in the Electronics and Communication Engineering Department in institutes in Tamil Nadu, India between 1990 and 1999. He was a Teaching Assistant in the Electrical Engineering Department of IIT Madras from January 2000 to December 2003. He has also worked as a project officer in the Telecommunications and Networking (TeNet) Group, Electrical Engineering Department, IITM. Currently he is working as a Scientist in the Centre of Excellence in Wireless Technology, Chennai, India.His research interests are mainly on Space-Time Processing for MIMO and OFDM systems. He is presently looking into the performance aspects of 3G and 4G broadband wireless standards.K GiridharK Giridhar received the BSc (Applied Sciences) degree from PSG College of Technology, Coimbatore, in 1985, and the ME degree in Electrical Communication Engineering from Indian Institute of Science, Bangalore, in 1989, and the PhD degree in Electrical and Computer Engineering from University of California, Santa Barbara, CA in 1993.He has also worked for a year each, as a Member of Research Staff at Bharat Electronics, Bangalore, and as a Research Affiliate in Electrical Engineering at Stanford University, California. In 1994, he joined the Indian Institute of Technology, Madras, and currently, is an Associate Professor of Electrical Engineering.His present research interests are in the areas of noncoherent and multiuser detection, space-time processing, adaptive estimation, and various transceiver algorithms for 3G and 4G wireless systems. He is involved in telecommunication product development activity based on the DECT Wireless in Local Loop system developed by IITM. He has also been a visiting faculty at Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh, and at Stanford University, California. He is a member of the TeNet group, IIT. Madras which is involved in the development of telecom products.Devendra JalihalDevendra Jalihal obtained BTech (Hons) from the Indian Institute of Technology, Kharagpur in 1983, M Eng from McMaster University, Hamilton, Canada in 1988 and PhD from Duke University, Durham, USA in 1992, all in Electrical Engineering.From 1983 to 1986, he was with Engineers India Ltd, New Delhi. From 1986 to 1992, he was Research Assistant first at McMaster University and later at Duke University. He did post-doctoral work at Duke University from 1992 to 1994. He has been with the Electrical Engineering Department, IIT Madras since 1994 where he is presently Associate Professor.His present research interests include applications of digital signal processing to communication and real-time voice and video communication on packet switched networks. He is a member of the TeNet group, IIT Madras which is involved in the development of telecom products.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,971
Score d'incertitude au seuil0,441

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0020,003
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,292
Tête enseignante GPT0,437
Écart entre enseignants0,144 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle