Open-Loop and Closed-Loop Transmit Diversity Techniques—Overview and New Results
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Bibliographic record
Abstract
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it