Title : 
Non-asymptotic achievability bounds in multiuser information theory
         
        
        
            Author_Institution : 
Princeton Univ., Princeton, NJ, USA
         
        
        
        
        
            Abstract : 
Invoking random coding, but not typical sequences, we give non-asymptotic achievability results for the major setups in multiuser information theory. No limitations, such as memorylessness or discreteness, on sources/channels are imposed. All the bounds given are powerful enough to yield the constructive side of the (asymptotic) capacity regions in the memoryless case. The approach relies on simple non-asymptotic counterparts of the packing and covering lemmas conventionally used in conjunction with the typical sequence approach.
         
        
            Keywords : 
random codes; asymptotic capacity regions; memoryless case; multiuser information theory; nonasymptotic achievability bounds; random coding; Channel coding; Data communication; Decoding; Error probability; Indexes; Shannon theory; Wyner-Ziv compression; achievability; almost-lossless compression with a helper; broadcast channels; data transmission with encoder side information; finite blocklength regime; multiple-access channels; random coding;
         
        
        
        
            Conference_Titel : 
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
         
        
            Conference_Location : 
Monticello, IL
         
        
            Print_ISBN : 
978-1-4673-4537-8
         
        
        
            DOI : 
10.1109/Allerton.2012.6483192