  We examine the problem of optimizing resource allocation in the uplink for a
user-centric, cell-free, multi-input multi-output network. We start by modeling
and developing resource allocation algorithms for two standard network
operation modes. The centralized mode provides high data rates but suffers
multiple issues, including scalability. On the other hand, the distributed mode
has the opposite problem: relatively low rates, but is scalable. To address
these challenges, we combine the strength of the two standard modes, creating a
new semi-distributed operation mode. To avoid the need for information exchange
between access points, we introduce a new quality of service metric to
decentralize the resource allocation algorithms. Our results show that we can
eliminate the need for information exchange with a relatively small penalty on
data rates.
