Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Acquiring Partial CSI for Spatially Selective Transmission by Instantaneous Channel Norm Feedback
IEEE Transactions on Signal Processing
Performance Analysis of Quantized Beamforming MIMO Systems
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Optimal power control for Rayleigh-faded multiuser systems with outage constraints
IEEE Transactions on Wireless Communications
A stochastic MIMO channel model with joint correlation of both link ends
IEEE Transactions on Wireless Communications
Capacity-achieving input covariance for single-user multi-antenna channels
IEEE Transactions on Wireless Communications
Receive Antenna Array Strategies in Fading and Interference: An Outage Probability Comparison
IEEE Transactions on Wireless Communications
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
A stochastic MIMO radio channel model with experimental validation
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
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Hi-index | 35.68 |
In this paper, we examine single user and multiuser multiple-input multiple-output (MIMO) beamforming networks with channel distribution information (CDI). Since CDI changes infrequently compared to channel state information (CSI), algorithms based on CDI can achieve significant savings in feedback compared to algorithms based on CSI. With CDI, we can only guarantee quality of service for a specified outage probability in the network. Assuming correlated Rayleigh fading on all the links, we derive a closed-form expression for the outage probability. Then, using this expression, we derive algorithms for joint transmit/receive beamforming and power control to minimize the weighted sum power in the network while guaranteeing these outage probabilities. For both single-user and multiuser MIMO scenarios, we present optimal algorithms under the Kronecker model assumption, and we present near-optimal algorithms assuming general correlation structures on the links. We then show that using these algorithms based on CDI, if we are willing to accept given outages on the links, we can achieve comparable power usage in the network relative to algorithms based on CSI.