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Foundations and Trends in Communications and Information Theory

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References.(Cyclic Division Algebras: A Tool for Space--Time Coding)
[1] S. M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE Journal on Selected Areas Communications, vol. 16, pp. 1451-1458, October 1998. [2] K. Azarian, H. El . . .

Acknowledgments.(Cyclic Division Algebras: A Tool for Space--Time Coding)
This work was supported in part by the STREP project No. IST-026905 (MASCOT) within the Sixth Framework Program of the European . . .

6 New applications and conclusion.(Cyclic Division Algebras: A Tool for Space--Time Coding)
In this last chapter, we briefly outline further research directions involving perfect STBCs, namely generalization to wireless networks and applications to coded modulations. 6.1 Coding for . . .

5 Perfect space--time block codes.(Cyclic Division Algebras: A Tool for Space--Time Coding)
This chapter is devoted to the definition and construction of perfect Space-Time block codes. We will now assemble the three preceding chapters, using the algebraic techniques presented in Chapter . . .

4 Cyclic division algebras.(Cyclic Division Algebras: A Tool for Space--Time Coding)
This chapter is devoted to the mathematical background necessary for building codes from cyclic division algebras. While introducing the definitions and results that we need, we keep in mind to . . .

3 An information theoretic perspective.(Cyclic Division Algebras: A Tool for Space--Time Coding)
In this chapter, we will see that two main features are important, to ensure the good performance of a coding scheme from an information theoretic point of view: (i) reaching the . . .

2 The MIMO system model.(Cyclic Division Algebras: A Tool for Space--Time Coding)(multiple-input multiple output)
2.1 Introduction Multiple transmit and multiple receive antennas have emerged as a promising technique for improving the performance of wireless digital transmission systems [25, 58]. The limited . . .

1 Introduction.(Cyclic Division Algebras: A Tool for Space--Time Coding)
Algebraic coding has played an important role since the early age of coding theory. Error correcting codes for the binary symmetric channel were designed using fnite felds and codes for the . . .

Cyclic division algebras: a tool for space--time coding.(Brief article)
Abstract Multiple antennas at both the transmitter and receiver ends of a wireless digital transmission channel may increase both data rate and reliability. Reliable high rate transmission over . . .

References.(Majorization and Matrix-Monotone Functions in Wireless Communications)
[1] M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions. Dover Publications, 1970. [2] N. Ahmed and R. G. Baraniuk, "Throughput measures for delay-constrained communications in . . .

7 Acknowledgments.(Majorization and Matrix-Monotone Functions in Wireless Communications)
Part of the content of this book was presented during lectures at the Technische Universitat Berlin, Germany, within the course "Applied Information Theory" from 2005-2007, at the Royal Institute . . .

6 Appendix.(Majorization and Matrix-Monotone Functions in Wireless Communications)
6.1 Linear Algebra Most of the material can be found in [50, 51]. Since this section contributes basic results, the proofs are omitted. Proposition 6.1 (Singular value decomposition). Every . . .

5 Application of matrix-monotone functions in wireless communications.(Majorization and Matrix-Monotone Functions in Wireless Co
5.1 Generalized Multiple Antenna Performance Measures Multiple-antennas can improve the spectral efficiency and reliability in wireless communications systems. In recent years, it was discovered . . .

4 Application of majorization in wireless communications.(Majorization and Matrix-Monotone Functions in Wireless Communications)
4.1 Spatial Correlation in Multiple Antenna Systems Recently, there is a transition in communication theory of how fading variations are judged. The time variation and spectral variation of the . . .

3 Matrix-monotone functions.(Majorization and Matrix-Monotone Functions in Wireless Communications)
The last chapter discussed a certain partial order for vectors Majorization end characterized the order preserving functions Schur-convex and Schur-concave functions. This chapter will propose . . .

2 Majorization theory.(Majorization and Matrix-Monotone Functions in Wireless Communications)
A total order is a binary relation on a set X. It is antisymmetric, transitive, and total. For example, the set of real numbers R can be totally ordered by the order relation less than < and . . .

1 Introduction.(Majorization and Matrix-Monotone Functions in Wireless Communications)
This short tutorial presents two mathematical techniques namely Majorization Theory and Matrix-Monotone Functions which are applied to solve communication and information theoretic problems in . . .

Majorization and matrix-monotone functions in wireless communications.
Abstract This short tutorial presents two mathematical techniques namely Majorization Theory and Matrix-Monotone Functions, reviews their basic definitions and describes their concepts clearly . . .

References.(MIMO Transceiver Design via Majorization Theory)
[1] S. M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE Journal on Selected Areas in Communications, vol. 16, no. 8, pp. 1451-1458, October 1998. [2] N. . . .

Acknowledgments.(MIMO Transceiver Design via Majorization Theory)
Daniel P. Palomar would like to thank his Ph.D. advisor, Miguel Angel Lagunas, and his mentor at Stanford University, John Cioffi, for their inspiring support at a time when he was starting an . . .

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