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
A Queuing Model for the Non-continuous Frame Assembly Scheme in Finite Buffers
ASMTA '09 Proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications
A space-time batch-service queueing model for multi-user MIMO communication systems
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Cross-layer analysis of downlink V-BLAST MIMO transmission exploiting multiuser diversity
IEEE Transactions on Wireless Communications
Packet level scheduling schemes for multi-user MIMO systems with beamforming
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
MIMO techniques in WiMAX and LTE: a feature overview
IEEE Communications Magazine
Optimal downlink multi-user MIMO cross-layer scheduling using HOL packet waiting time
IEEE Transactions on Wireless Communications
An introduction to the multi-user MIMO downlink
IEEE Communications Magazine
Cross-layer scheduling for multi-user MIMO systems
IEEE Communications Magazine
On the finite-buffer bulk-service queue with general independent arrivals: GI/M[b]/1/N
Operations Research Letters
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The queueing process plays a crucial role in the performance that a Downlink SDMA system can achieve as it interacts with other system parameters such as the number of antennas, the traffic load and the number of active mobile nodes (MNs). This paper analyzes these interactions from the link-layer perspective, which has been traditionally ignored in the analysis of such systems. As a reference, a finite-buffer upper-bound queuing model able to predict the optimal system performance in terms of throughput (blocking probability) and system delay is presented. A comparative analysis between the considered system performance and the performance provided by the upper-bound queueing model allows to foresee the situations in which a Downlink SDMA system is underperforming and understand the reasons that cause this low performance. This knowledge is essential for the design of packet-based scheduling algorithms in order to maximize the system performance in a broad range of situations.