Stochastic models in queueing theory
Stochastic models in queueing theory
Modelling and analysis of M/G^{a,b}/1/N queue – A simple alternative approach
Queueing Systems: Theory and Applications
Finite-buffer bulk service queue under Markovian service process
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Optimal operating point for MIMO multiple access channel with bursty traffic
IEEE Transactions on Wireless Communications
On the finite-buffer bulk-service queue with general independent arrivals: GI/M[b]/1/N
Operations Research Letters
A queueing model for SDMA downlink transmissions
MACOM'10 Proceedings of the Third international conference on Multiple access communications
The Role of the Queueing Process in the Performance of Downlink SDMA Systems
Wireless Personal Communications: An International Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Multi-user MIMO allows the simultaneous transmission of several link-layer frames directed to different users by exploiting the channel's spatial streams, increasing proportionally the effective channel capacity. Nevertheless, the system performance can be further increased if several frames directed to the same user are combined together on a temporal scale (i.e. packet aggregation), taking benefit from both space and time dimensions. In this paper, a novel finitebuffer space-time general-distributed batch-service queueing model for such a system is presented. Results show the flexibility and accuracy of our queuing model, providing also a first insight on the relation between the space and temporal aggregation parameters and how they can be adjusted to maximise the system performance.