  We propose the QoS-aware BS-selection schemes for the distributed wireless
MIMO links, which aim at minimizing the BS usages and reducing the interfering
range, while satisfying diverse statistical delay-QoS constraints characterized
by the delay-bound violation probability and the effective capacity technique.
In particular, based on the channel state information (CSI) and QoS
requirements, a subset of BS with variable cardinality for the distributed MIMO
transmission is dynamically selected, where the selections are controlled by a
central server. For the single-user scenario, we develop two optimization
frameworks, respectively, to derive the efficient BS-selection schemes and the
corresponding resource allocation algorithms. One framework uses the
incremental BS-selection and time-sharing (IBS-TS) strategies, and the other
employs the ordered-gain based BS-selection and probabilistic transmissions
(OGBS-PT). The IBS-TS framework can yield better performance, while the scheme
developed under the OGBS-PT framework is easier to implement. For the
multi-user scenario, we propose the optimization framework applying the
priority BS-selection, block-diagonalization precoding, and probabilistic
transmission (PBS-BD-PT) techniques. We also propose the optimization framework
applying the priority BS-selection, time-division-multiple-access, and
probabilistic transmission (PBS-TDMA-PT) techniques. We derive the optimal
transmission schemes for all the aforementioned frameworks, respectively. Also
conducted is a set of simulation evaluations which compare our proposed schemes
with several baseline schemes and show the impact of the delay-QoS
requirements, transmit power, and traffic loads on the performances of BS
selections for distributed MIMO systems.
