Verkauf durch Sack Fachmedien

Heath Jr / Lozano

Foundations of MIMO Communication

Medium: Buch
ISBN: 978-0-521-76228-1
Verlag: Cambridge University Press
Erscheinungstermin: 10.12.2024
Lieferfrist: bis zu 10 Tage

Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text. Viewing the subject through an information theory lens, but also drawing on other perspectives, it provides a sound treatment of the key concepts underpinning contemporary wireless communication and MIMO, all the way to massive MIMO. Authoritative and insightful, it includes over 330 worked examples and 450 homework problems, with solutions and MATLAB code and data available online. Altogether, this is an excellent resource for instructors and graduate students, as well as an excellent reference for researchers and practicing engineers.


Produkteigenschaften


  • Artikelnummer: 9780521762281
  • Medium: Buch
  • ISBN: 978-0-521-76228-1
  • Verlag: Cambridge University Press
  • Erscheinungstermin: 10.12.2024
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2024
  • Produktform: Gebunden
  • Gewicht: 1913 g
  • Seiten: 800
  • Format (B x H x T): 208 x 260 x 47 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Robert W. Heath, Jr is a Cullen Trust for Higher Education Endowed Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Angel Lozano is a Professor in the Department of Information and Communication Technologies at Universitat Pompeu Fabra, Barcelona. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Part I. Wireless Communication Theory: 1. A primer on information theory and MMSE estimation; 2. A signal processing perspective; 3. Channel modelling; 4. Single-user SISO; Part II. Single-user MIMO: 5. SU-MIMO with optimum receivers; 6. SU-MIMO with linear receivers; Part III. Multiuser MIMO: 7. Multiuser communication prelude; 8. MU-MIMO with optimum transceivers; 9. MU-MIMO with linear transceivers; 10. Massive MIMO; 11. Afterword.