Adder MAC is a simple noiseless multiple-access channel (MAC), where if users
send messages X1,…,Xh∈{0,1}n, then the receiver receives Y=X1+⋯+Xh with addition over Z. Communication over the
noiseless adder MAC has been studied for more than fifty years. There are two
models of particular interest: uniquely decodable code tuples, and Bh-codes.
In spite of the similarities between these two models, lower bounds and upper
bounds of the optimal sum rate of uniquely decodable code tuple asymptotically
match as number of users goes to infinity, while there is a gap of factor two
between lower bounds and upper bounds of the optimal rate of Bh-codes.
The best currently known Bh-codes for h≥3 are constructed using
random coding. In this work, we study variants of the random coding method and
related problems, in hope of achieving Bh-codes with better rate. Our
contribution include the following. (1) We prove that changing the underlying
distribution used in random coding cannot improve the rate. (2) We determine
the rate of a list-decoding version of Bh-codes achieved by the random
coding method. (3) We study several related problems about R\'{e}nyi entropy.Comment: An updated version of author's master thesi