Fronthaul Compression and Transmit Beamforming Optimization for Multi-Antenna Uplink C-RAN
arXiv:1604.05001 · doi:10.1109/TSP.2016.2563388
Abstract
This paper considers the joint fronthaul compression and transmit beamforming design for the uplink cloud radio access network (C-RAN), in which multi-antenna user terminals communicate with a cloud-computing based centralized processor (CP) through multi-antenna base-stations (BSs) serving as relay nodes. A compress-and-forward relaying strategy, named the VMAC scheme, is employed, in which the BSs can either perform single-user compression or Wyner-Ziv coding to quantize the received signals and send the quantization bits to the CP via capacity-limited fronthaul links; the CP performs successive decoding with either successive interference cancellation (SIC) receiver or linear minimum-mean-square-error (MMSE) receiver. Under this setup, this paper investigates the joint optimization of the transmit beamformers at the users and the quantization noise covariance matrices at the BSs for maximizing the network utility. A novel weighted minimum-mean-square-error successive convex approximation (WMMSE-SCA) algorithm is first proposed for maximizing the weighted sum rate under the user transmit power and fronthaul capacity constraints with single-user compression. Assuming a heuristic decompression order, the proposed algorithm is then adapted for optimizing the transmit beamforming and fronthaul compression under Wyner-Ziv coding. This paper also proposes a low-complexity separate design consisting of optimizing transmit beamformers for the Gaussian vector multiple-access channel along with per-antenna quantizers with uniform quantization noise levels across the antennas at each BS. Numerical results show that with optimized beamforming and fronthaul compression, C-RAN can significantly outperform conventional cellular networks. Furthermore, the low complexity separate design already performs very close to the optimized joint design in regime of practical interest.
arXiv commentIEEE Transactions on Signal Processing, vol. 64, no. 16, pp.4138-4151, August 15, 2016, with minor corrections
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- An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems
- Dimension Reduction-based Signal Compression for Uplink Distributed MIMO C-RAN with Limited Fronthaul Capacity
- Joint Design of Digital and Analog Processing for Downlink C-RAN with Large-Scale Antenna Arrays
- Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
- Fronthaul Compression and Passive Beamforming Design for Intelligent Reflecting Surface-aided Cloud Radio Access Networks
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- Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
- Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
- Complexity-Aware Scheduling for an LDPC Encoded C-RAN Uplink
- Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays
- Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks