Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access Network
Binbin Dai,Wei Yu +1 more
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TLDR
The proposed dynamic clustering algorithm can achieve significant performance gain over existing naive clustering schemes and is shown to solve the weighted sum rate maximization problem through a generalized weighted minimum mean square error approach.Abstract:
This paper considers a downlink cloud radio access network (C-RAN) in which all the base-stations (BSs) are connected to a central computing cloud via digital backhaul links with finite capacities. Each user is associated with a user-centric cluster of BSs; the central processor shares the user's data with the BSs in the cluster, which then cooperatively serve the user through joint beamforming. Under this setup, this paper investigates the user scheduling, BS clustering, and beamforming design problem from a network utility maximization perspective. Differing from previous works, this paper explicitly considers the per-BS backhaul capacity constraints. We formulate the network utility maximization problem for the downlink C-RAN under two different models depending on whether the BS clustering for each user is dynamic or static over different user scheduling time slots. In the former case, the user-centric BS cluster is dynamically optimized for each scheduled user along with the beamforming vector in each time-frequency slot, whereas in the latter case, the user-centric BS cluster is fixed for each user and we jointly optimize the user scheduling and the beamforming vector to account for the backhaul constraints. In both cases, the nonconvex per-BS backhaul constraints are approximated using the reweighted l 1 -norm technique. This approximation allows us to reformulate the per-BS backhaul constraints into weighted per-BS power constraints and solve the weighted sum rate maximization problem through a generalized weighted minimum mean square error approach. This paper shows that the proposed dynamic clustering algorithm can achieve significant performance gain over existing naive clustering schemes. This paper also proposes two heuristic static clustering schemes that can already achieve a substantial portion of the gain.read more
Citations
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Journal ArticleDOI
Joint RRH Activation and Robust Coordinated Beamforming for Massive MIMO Heterogeneous Cloud Radio Access Networks
TL;DR: Simulation results demonstrate that the proposed algorithm can significantly reduce the network power consumption by 28% in the low signal-to-interference-plus noise ratio scenario and can approach the system performance of the exhaustive search algorithm while having a much lower computational complexity.
Journal ArticleDOI
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge
TL;DR: In this article, the authors investigated user association and beamforming issues for providing energy efficient F-RANs and proposed an algorithm based on the augmented Lagrangian (AL) method.
Proceedings ArticleDOI
QuaRo: A Queue-Aware Robust Coordinated Transmission Strategy for Downlink C-RANs
TL;DR: A queue-aware robust (QuaRo) coordinated transmission strategy is proposed for Cloud Radio Access Networks (C-RANs) with a central BaseBand processing Unit (BBU) connected to multiple Remote Radio Heads (RRHs) that is adaptive to both user-traffic urgency and wireless channel opportunity via the observed Channel State Information (CSI).
Journal ArticleDOI
Joint Rate Maximization of Downlink and Uplink in Multiuser MIMO SWIPT Systems
TL;DR: This paper optimize the beamformers and transmit duration to maximize the weighted sum rate of both the downlink and uplink in a multiuser multiple-input multiple-output (MIMO) SWIPT system and decentralize the QP problem using dual decompositions, and reduce the time-complexity without compromising the data rate.
Journal ArticleDOI
On Achievability for Downlink Cloud Radio Access Networks With Base Station Cooperation
TL;DR: This paper investigates the downlink of a cloud radio access network (C-RAN) in which a central processor communicates with two mobile users through two base stations (BSs) through error-free rate-limited links.
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