  The Large Intelligent Surface (LIS) concept is a promising technology aiming
to revolutionize wireless communication by exploiting spatial multiplexing at
its fullest. Despite of its potential, due to the size of the LIS and the large
number of antenna elements involved there is a need of decentralized
architectures together with distributed algorithms which can reduce the
inter-connection data-rate and computational requirement in the Central
Processing Unit (CPU). In this article we address the uplink detection problem
in the LIS system and propose a decentralize architecture based on panels,
which perform local linear processing. We also provide the sum-rate capacity
for such architecture and derive an algorithm to obtain the equalizer, which
aims to maximize the sum-rate capacity. A performance analysis is also
presented, including a comparison to a naive approach based on a reduced form
of the matched filter (MF) method. The results shows the superiority of the
proposed algorithm.
