Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
IEEE Transactions on Signal Processing
Effective capacity: a wireless link model for support of quality of service
IEEE Transactions on Wireless Communications
Transmitter optimization and optimality of beamforming for multiple antenna systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Delay Considerations for Opportunistic Scheduling in Broadcast Fading Channels
IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
Quality of Service Analysis for Wireless User-Cooperation Networks
IEEE Transactions on Information Theory
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
Optimum Power Allocation for Single-User MIMO and Multi-User MIMO-MAC with Partial CSI
IEEE Journal on Selected Areas in Communications
MIMO wireless communications under statistical queueing constraints
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Effective capacity maximization in multi-antenna channels with covariance feedback
IEEE Transactions on Wireless Communications
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The optimal transmit strategies of single-user multi-antenna systems with respect to average capacity maximization are well understood. However, the performance measure does neglect delay aspects which are important for higher layer design. Therefore, we consider the maximization of the effective capacity in a single-user multi-antenna system with covariance knowledge. The optimal transmit strategy is derived and the properties as a function of the decay-rate requirement of the buffer occupancy are analyzed. In particular, we show that the larger the decay-rate requirement, the smaller the beamforming optimality range, i.e., the more spatial eigenmodes are activated. This behavior is illustrated by numerical simulations and explained by the channel hardening effect.