Editor-in-Chief: Sergio Verdú, Dept of Electrical Engineering Princeton University Princeton, NJ 08544 USA Tel: +1 609 258 5315 www.princeton.edu/~verdu Print ISSN: 1567-2190 Online ISSN: 1567-2328 Americas USD 400 / All other countries EURO 400 (electronic) Americas USD 470 / All other countries EURO 470 (combined)

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Volume 7, Issue 2-3 Biometric Security from an Information-Theoretical Perspective By Tanya Ignatenko and Frans M.J. Willems (Eindhoven University of Technology, The Netherlands)

Volume 7, Issue 1 Interference Alignment: A New Look at Signal Dimensions in a Communication Network By Syed A. Jafar (University of California, Irvine)

Volume 6, Issue 3-4 Raptor Codes By Amin Shokrollahi (EPFL) and Michael Luby (Qualcomm)

Volume 6, Issue 1-2 Statistical Physics and Information Theory By Neri Merhav (Technion)

Volume 5, Issue 6 Combinatorial Designs for Authentication and Secrecy Codes By Michael Huber (University of Tuebingen)

Volume 5, Issue 4-5 Information Theoretic Security By Yingbin Liang (University of Hawaii), H. Vincent Poor (Princeton University) and Shlomo Shamai (Shitz) (Technion-Israel Institute of Technology)

Volume 5, Issue 3 Universal Estimation of Information Measures for Analog Sources By Qing Wang (Credit Suisse Group), Sanjeev Kulkarni (Princeton University) and Sergio Verdú (Princeton University)

Volume 5, Issue 1-2 Bit-Interleaved Coded Modulation By Albert Guillén i Fàbregas (Cambridge University), Alfonso Martinez (CWI) and Giuseppe Caire (USC)

Volume 4, Issue 6 Channel Coding in the Presence of Side Information By Guy Keshet (TraceSpan Communications Ltd), Yossef Steinberg and Neri Merhav (Technion)

Volume 4, Issue 4-5 Topics in Multi-User Information Theory By Gerhard Kramer (Bell Laboratories, Alcatel-Lucent)

Volume 4, Issue 2-3 Reliability Criteria in Information Theory and Statistical Hypothesis Testing By E. Haroutunian (NAS Armenia), M.E. Haroutunian (NAS Armenia) and A.N. Harutyunyan (U. Duisburg-Essen)

Volume 4, Issue 1 Cyclic Division Algebras: A Tool for Space-Time Coding By Frédérique Oggier (EPFL), Jean-Claude Belfiore (ENST), and Emanuele Viterbo (University of Calabria)

Volume 3, Issue 6 Majorization and Matrix-Monotone Functions in Wireless Communications By Eduard Jorswieck (KTH) and Holger Boche (TU Berlin)

Volume 3, Issue 4-5 MIMO Transceiver Design via Majorization Theory By Daniel Palomar (HKUST) and Yi Jiang (U. Colorado)

Volume 3, Issue 3 Information Combining By Ingmar Land (Aalborg University) and Johannes Huber (Erlangen University)

Volume 3, Issue 1-2 Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial By Igal Sason and Shlomo Shamai (Technion)

Volume 2, Issue 6 QoS-Based Resource Allocation and Transceiver Optimization By Martin Schubert (MCI) and Holger Boche (TU Berlin)

Volume 2, Issue 5 Network Coding Theory: Multiple Sources By R. W. Yeung (CUHK), S.-Y. R. Li (CUHK), N. Cai (Xidian) and Z. Zhang (USC)

A hard copy version of this paper is available in the book Network Coding Theory. See volume 2, issue 4 for details

Volume 2, Issue 4 Network Coding Theory: Single Sources By R. W. Yeung (CUHK), S.-Y. R. Li (CUHK), N. Cai (Xidian) and Z. Zhang (USC)

This paper is available together volume 2, issue 5 in printed form in the book Network Coding Theory.

Volume 2, Issue 3 Toeplitz and Circulant Matrices: A review By Bob Gray (Stanford University)

Volume 2, Issue 1-2 Geometric Programming for Communication Systems By Mung Chiang (Princeton University)

Volume 1, Issue 4 Information Theory and Statistics: A Tutorial By I. Csiszar and P. Shields

Volume 1, Issue 3 Algebraic Number Theory and Code Design for Rayleigh Fading Channels By F. Oggier and E. Viterbo

Volume 1, Issue 2 Transmission and Reception with Multiple Antennas:Theoretical Foundations By E. Biglieri and G. Taricco

Volume 1, Issue 1 Random Matrix Theory and Wireless Communications By A. Tulino and S Verdú

"This short book explains the key results about random matrices and their relevance to wireless communications. Every serious researcher in that field should read the book." Jean Walrand, University of California, Berkeley