Title : 
Symbol Detection with Network Coding in Wireless Channels
         
        
            Author : 
Lei Cao ; Wei Xiang
         
        
            Author_Institution : 
Dept. of Electr. Eng., Univ. of Mississippi, Oxford, MS, USA
         
        
        
        
        
        
        
        
            Abstract : 
For multi-sources transmitting to a common sink with assistance of relays where network coding is used, different symbols may experience different fading and noise levels, and there is a need to calculate the average symbol detection error probability at the receiver. In this letter, we present a method that closely bounds the error performance when log-likelihood ratio (LLR) detection is used. The method integrates two techniques including the union bound based on the bit-level input-output weight enumerate function (IOWEF) in coding and the maximum ratio combining (MRC) in diversity analysis. The method is applicable to any network coding matrix used at relay.
         
        
            Keywords : 
diversity reception; error statistics; maximum likelihood detection; network coding; wireless channels; LLR detection; MRC; average symbol detection error probability; bit-level IOWEF; diversity analysis; fading level; input-output weight enumerate function; log-likelihood ratio detection; maximum ratio combining; network coding; noise level; union bound; wireless channel; Bit error rate; Encoding; Network coding; Rayleigh channels; Relays; Signal to noise ratio; Network coding; diversity; input-output weight enumerate function; union bound;
         
        
        
            Journal_Title : 
Communications Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LCOMM.2013.062113.130314