An iterative scheme using geometric programming for power allocation and generalized eigenvalue problems for receiver design maximizes the min-rate in cell-free Massive MIMO under fronthaul quantization constraints, with optimality shown via uplink-downlink duality.
Cell-free Massive MIMO versus small cells,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.IT 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
The authors formulate and solve an energy efficiency maximization problem for limited-backhaul cell-free Massive MIMO using quantized MRC signals, Bussgang-modeled quantization errors, and successive convex approximation under power, backhaul, and rate constraints.
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Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization
An iterative scheme using geometric programming for power allocation and generalized eigenvalue problems for receiver design maximizes the min-rate in cell-free Massive MIMO under fronthaul quantization constraints, with optimality shown via uplink-downlink duality.
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On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO
The authors formulate and solve an energy efficiency maximization problem for limited-backhaul cell-free Massive MIMO using quantized MRC signals, Bussgang-modeled quantization errors, and successive convex approximation under power, backhaul, and rate constraints.