Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
Stanford University · Aalborg University
Abstract
This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve using low complexity methods. Motivated by recent results highlighting the relationship between mutual information and Minimum Mean Square Error (MMSE), this paper establishes a relationship between weighted sum-rate and weighted MMSE in the MIMO-BC. The relationship is used to propose two low complexity algorithms for finding a local weighted sum-rate optimum based on alternating optimization. Numerical results studying sum-rate show that the proposed algorithms…
Citation impact
- FWCI
- 17.98
- Percentile
- 100%
- References
- 20
Authors
4Topics & keywords
- Maximization
- MIMO
- Beamforming
- Minimum mean square error
- Mutual information
- Mathematics
- Computer science
- Algorithm