On MMSE Properties of Codes for the Gaussian Broadcast and Wiretap Channels

This work concerns the behavior of "good" (capacity achieving) codes in several multi-user settings in the Gaussian regime, in terms of their minimum mean-square error (MMSE) behavior. The settings investigated in this context include the Gaussian wiretap channel, the Gaussian broadcast channel (BC) and the Gaussian BC with confidential messages (BCC). In particular this work addresses the effects of transmitting such codes on unintended receivers, that is, receivers that neither require reliable decoding of the transmitted messages nor are they eavesdroppers that must be kept ignorant, to some extent, of the transmitted message. This work also examines the effect on the capacity region that occurs when we limit the allowed disturbance in terms of MMSE on some unintended receiver. This trade-off between the capacity region and the disturbance constraint is given explicitly for the Gaussian BC and the secrecy capacity region of the Gaussian BCC.

[1]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[2]  Shlomo Shamai,et al.  MMSE of “Bad” Codes , 2013, IEEE Transactions on Information Theory.

[3]  Frédérique E. Oggier,et al.  The secrecy capacity of the MIMO wiretap channel , 2007, 2008 IEEE International Symposium on Information Theory.

[4]  Shlomo Shamai,et al.  Secrecy-achieving polar-coding , 2010, 2010 IEEE Information Theory Workshop.

[5]  Masahito Hayashi,et al.  Construction of wiretap codes from ordinary channel codes , 2010, 2010 IEEE International Symposium on Information Theory.

[6]  Robert G. Gallager,et al.  Capacity and coding for degraded broadcast channels , 1974 .

[7]  Gregory W. Wornell,et al.  Secure Transmission With Multiple Antennas I: The MISOME Wiretap Channel , 2010, IEEE Transactions on Information Theory.

[8]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[9]  Gregory W. Wornell,et al.  Secure Transmission With Multiple Antennas—Part II: The MIMOME Wiretap Channel , 2007, IEEE Transactions on Information Theory.

[10]  Shlomo Shamai,et al.  Mutual information and minimum mean-square error in Gaussian channels , 2004, IEEE Transactions on Information Theory.

[11]  Sergio Verdú,et al.  Approximation theory of output statistics , 1993, IEEE Trans. Inf. Theory.

[12]  Sergio Verdú,et al.  Functional Properties of Minimum Mean-Square Error and Mutual Information , 2012, IEEE Transactions on Information Theory.

[13]  Mihir Bellare,et al.  Polynomial-Time, Semantically-Secure Encryption Achieving the Secrecy Capacity , 2012, IACR Cryptol. ePrint Arch..

[14]  Thomas M. Cover,et al.  Comments on Broadcast Channels , 1998, IEEE Trans. Inf. Theory.

[15]  Patrick P. Bergmans,et al.  Random coding theorem for broadcast channels with degraded components , 1973, IEEE Trans. Inf. Theory.

[16]  Shlomo Shamai,et al.  Statistical Physics of Signal Estimation in Gaussian Noise: Theory and Examples of Phase Transitions , 2008, IEEE Transactions on Information Theory.

[17]  Daniel Pérez Palomar,et al.  Gradient of mutual information in linear vector Gaussian channels , 2006, IEEE Transactions on Information Theory.

[18]  Matthieu R. Bloch,et al.  Physical-Layer Security: From Information Theory to Security Engineering , 2011 .

[19]  Shlomo Shamai,et al.  Secure Communication Over Fading Channels , 2007, IEEE Transactions on Information Theory.

[20]  Shlomo Shamai,et al.  The Interplay Between Information and Estimation Measures , 2013, Found. Trends Signal Process..

[21]  R. Bartle The elements of integration and Lebesgue measure , 1995 .

[22]  Te Sun Han,et al.  A new achievable rate region for the interference channel , 1981, IEEE Trans. Inf. Theory.

[23]  A. D. Wyner,et al.  The wire-tap channel , 1975, The Bell System Technical Journal.

[24]  Martin E. Hellman,et al.  The Gaussian wire-tap channel , 1978, IEEE Trans. Inf. Theory.

[25]  Remi A. Chou,et al.  Polar Coding for the Broadcast Channel With Confidential Messages: A Random Binning Analogy , 2016, IEEE Transactions on Information Theory.

[26]  Shlomo Shamai,et al.  Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error , 2010, IEEE Transactions on Information Theory.

[27]  A. Sridharan Broadcast Channels , 2022 .

[28]  Himanshu Tyagi,et al.  Explicit capacity-achieving coding scheme for the Gaussian wiretap channel , 2014, 2014 IEEE International Symposium on Information Theory.

[29]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[30]  Shlomo Shamai,et al.  On MMSE Crossing Properties and Implications in Parallel Vector Gaussian Channels , 2013, IEEE Transactions on Information Theory.

[31]  Imre Csiszár,et al.  Broadcast channels with confidential messages , 1978, IEEE Trans. Inf. Theory.