Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Convex Optimization
An opportunistic power control algorithm for cellular network
IEEE/ACM Transactions on Networking (TON)
Error prediction for adaptive modulation and coding in multiple-antenna OFDM systems
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Practical Optimization Methods: With Mathematica Applications
Practical Optimization Methods: With Mathematica Applications
Distributed uplink power control for optimal sir assignment in cellular data networks
IEEE/ACM Transactions on Networking (TON)
A novel link performance prediction method for coded MIMO-OFDM systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
On scheduling and power control in multi-cell coordinated clusters
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Downlink capacity of interference-limited MIMO systems with joint detection
IEEE Transactions on Wireless Communications
Uplink Power Control in Multi-Cell Spatial Multiplexing Wireless Systems
IEEE Transactions on Wireless Communications
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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Transmit antenna diversity and single user spatial multiplexing have become attractive in practical systems, because they achieve performance gains without requiring sophisticated channel state information (CSI) feedback mechanisms. On the other hand, when fast and accurate CSI at the transmitter is available, opportunistic power control (OPC) is an attractive alternative to signal-to-interference-and-noise ratio (SINR) target following approaches, because it maximizes throughput by taking advantage of fast channel variations. In this paper we examine the question whether OPC is worth the pain of obtaining fast CSI by evaluating the gains of OPC for the downlink of a system employing multiple input multiple output (MIMO) systems with Alamouti and open loop spatial multiplexing (SM). We formulate the OPC problem as a throughput maximization task subject to power budget and fairness constraints. We solve this task by the Augmented Lagrangian Penalty Function and find that without fairness constraints, OPC in concert with SM provides superior throughput. With increasingly tight fairness constraints, Alamouti along with equal power allocation becomes a viable alternative to the SM OPC scheme. Both from fairness and throughput perspectives, Alamouti along with OPC is particularly efficient when adaptive MCS is employed and users with large differences in channel qualities have to share the total transmit power.