Topics in matrix analysis
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links
IEEE Transactions on Wireless Communications
Adaptive scheduling for MIMO wireless networks: cross-layer approach and application to HSDPA
IEEE Transactions on Wireless Communications
Power allocation for two different traffics in layered MIMO systems
IEEE Transactions on Wireless Communications
IEEE 802.11n Development: History, Process, and Technology
IEEE Communications Magazine
Adaptive multidimensional coded modulation over flat fading channels
IEEE Journal on Selected Areas in Communications
Cross-Layer Optimized Conditions for QoS Support in Multi-Hop Wireless Networks with MIMO Links
IEEE Journal on Selected Areas in Communications
An overview of scheduling algorithms in MIMO-based fourth-generation wireless systems
IEEE Network: The Magazine of Global Internetworking
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We consider the problem of quality-of-service (QoS) provisioning for multiple traffic classes in a MIMO wireless network. This QoS provisioning is posed as a radio resource management (RRM) problem at a wireless node (e.g., a wireless mesh router) with multiple antennas. We decompose this RRM problem into two tractable subproblems, namely, the antenna assignment and the admission control problems. The objective of antenna assignment is to minimize the weighted packet dropping probability for the different traffic classes under constrained packet delay. The objective of admission control is to maximize the revenue of the wireless node gained from the ongoing connections for different traffic classes under constrained connection blocking probability and average per-connection throughput. The decision of antenna assignment is made in a short-term basis (e.g., for every packet transmission interval) while that of admission control is made in a long-term basis (i.e., when a connection arrives). Constrained Markov decision process (CMDP) models are formulated to obtain the optimal decisions on antenna assignment and admission control. To provide efficient channel utilization, the RRM framework considers adaptive modulation at the physical layer which exploits channel state information. Performance evaluation results show that this joint antenna assignment and admission control framework can provide classbased service differentiation while satisfying both the connection-level and packet-level QoS requirements.