A mathematical view of interior-point methods in convex optimization
A mathematical view of interior-point methods in convex optimization
Convex Optimization
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
Rate Optimization for Multiuser MIMO Systems With Linear Processing
IEEE Transactions on Signal Processing - Part II
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: Duality and Sum-MSE Minimization
IEEE Transactions on Signal Processing
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
IEEE Transactions on Signal Processing
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: MMSE Balancing
IEEE Transactions on Signal Processing - Part I
Zero-Forcing Precoding and Generalized Inverses
IEEE Transactions on Signal Processing
Rate maximization in multi-antenna broadcast channels with linear preprocessing
IEEE Transactions on Wireless Communications
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
IEEE Transactions on Wireless Communications - Part 1
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
Capacity Gain From Two-Transmitter and Two-Receiver Cooperation
IEEE Transactions on Information Theory
Downlink capacity evaluation of cellular networks with known-interference cancellation
IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
An iterative water-filling algorithm for maximum weighted sum-rate of Gaussian MIMO-BC
IEEE Journal on Selected Areas in Communications
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A simple line network model is proposed to study the downlink cellular network. Without base station cooperation, the system is interference-limited. The interference limitation is overcome when the base stations are allowed to jointly encode the user signals, but the capacity-achieving dirty paper coding scheme can be too complex for practical implementation. A new linear precoding technique called soft interference nulling (SIN) is proposed, which performs at least as well as zero-forcing (ZF) beamforming under full network coordination. Unlike ZF, SIN allows the possibility of but over-penalizes interference. The SIN precoder is computed by solving a convex optimization problem, and the formulation is extended to multiple-antenna channels. SIN can be applied when only a limited number of base stations cooperate; it is shown that SIN under partial network coordination can outperform full network coordination ZF at moderate SNRs.