Networked MIMO with clustered linear precoding
By Jun Zhang, Runhua Chen, Jeffrey G. Andrews, Arunabha Ghosh, Robert W. Heath. IEEE Transactions on Wireless Communications, 2008
547 citations recorded by the source corpus.
A clustered base transceiver station (BTS) coordination strategy is proposed for a large cellular MIMO network, which includes full intra-cluster coordination-to enhance the sum rate-and limited inter-cluster coordination-to reduce interference for the cluster edge users. Multi-cell block diagonalization is used to coordinate the transmissions across multiple BTSs in the same cluster. To satisfy per-BTS power constraints, three combined precoder and power allocation algorithms are proposed with different performance and complexity tradeoffs. For inter-cluster coordination, the coordination area is chosen to balance fairness for edge users and the achievable sum rate. It is shown that a small cluster size (about 7 cells) is sufficient to obtain most of the sum rate benefits from clustered coordination while greatly relieving channel feedback requirement. Simulations show that the proposed coordination strategy efficiently reduces interference and provides a considerable sum rate gain for cellular MIMO networks.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/5dd82b4d58706fc35aec01df567eafb4620b9005
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Emil Björnson
- Luca Sanguinetti
- Robert W. Heath
- Wei Yu
- David Gesbert
- Eduard Axel Jorswieck
- Derrick Wing Kwan Ng
- T. Marzetta
In Electrical and Electronic Engineering
- Emil Björnson
- Luca Sanguinetti
- Rui Zhang
- Robert W. Heath
- Derrick Wing Kwan Ng
- Wei Yu
- Erik G. Larsson
- T. Marzetta
Citations in the corpus
- A Survey on Multiple-Antenna Techniques for Physical Layer Security (2017, background): “proposed in [199] and [200], which coordinate the transmit beamformers of multiple base stations.”
- Pilot Contamination and Precoding in Multi-Cell TDD Systems (2009, methodology): “Linear precoding methods for clustered networks with full intra-cluster coordination and limited inter-cluster coordination are proposed in [19].”
- Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “A semi-distributed approach is suggested in [323], where users are jointly scheduled within each disjoint cooperation cluster, but there is no cooperation between clusters.”
- Foundations of User-Centric Cell-Free Massive MIMO (2020, background): “The first option is network-centric clustering where the APs are divided into disjoint clusters [79], [111], [209], each serving a disjoint set of UEs.”
- Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, background): “In [169] mobiles are classified as cluster interior or cluster edge users.”
- Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access Network (2014, background): “Specifically, [27] considers sum rate maximization under fixed and disjoint clustering scheme while [28] and [29] maximize a more general utility function under user-centric but predetermined BS clusters.”
- Relay Architectures for 3GPP LTE-Advanced (2009, background): “Several suboptimal strategies have been proposed to realize base station coordination such as coordinated resource allocation [38] or clustered coordination [39].”
- Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, methodology): “Similarly, when precoding/beamforming techniques [84], [580]–[586] are employed in SDM-MIMO systems, the interference between the transmit antennas may be significantly mitigated or even completely removed (when using ZF-based linear precoding).”