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Sum-rate maximization for linearly precoded downlink multiuser MISO systems with partial CSIT: A rate-splitting approach
This paper considers the sum-rate (SR) maximization problem in downlink multi-user
multiple input simgle output (MU-MISO) systems under imperfect channel state information …
multiple input simgle output (MU-MISO) systems under imperfect channel state information …
Robust transmission in downlink multiuser MISO systems: A rate-splitting approach
We consider a downlink multiuser MISO system with bounded errors in the channel state
information at the transmitter (CSIT). We first look at the robust design problem of achieving …
information at the transmitter (CSIT). We first look at the robust design problem of achieving …
Robust monotonic optimization framework for multicell MISO systems
<? Pub Dtl=""?> The performance of multiuser systems is both difficult to measure fairly and
to optimize. Most resource allocation problems are nonconvex and NP-hard, even under …
to optimize. Most resource allocation problems are nonconvex and NP-hard, even under …
Robust linear precoder design for multi-cell downlink transmission
Coordinated information processing by the base stations of multi-cell wireless networks
enhances the overall quality of communication in the network. Such coordinations for …
enhances the overall quality of communication in the network. Such coordinations for …
Channel estimation and linear precoding in multiuser multiple-antenna TDD systems
Traditional approaches in the analysis of downlink systems decouple the precoding and the
channel estimation problems. However, in cellular systems with mobile users, these two …
channel estimation problems. However, in cellular systems with mobile users, these two …
Deep learning for multi-user MIMO systems: Joint design of pilot, limited feedback, and precoding
In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency
division duplexing (FDD), channel acquisition and precoder optimization processes have …
division duplexing (FDD), channel acquisition and precoder optimization processes have …
Weighted sum rate maximization in full-duplex multi-user multi-cell MIMO networks
In this paper, we focus on a multi-user multi-cell scenario with full-duplex (FD) base-stations
and half-duplex (HD) downlink (DL) and uplink (UL) users, where all nodes are equipped …
and half-duplex (HD) downlink (DL) and uplink (UL) users, where all nodes are equipped …
DC programming approach for resource allocation in wireless networks
We consider the problem of sum rate maximization with joint resource allocation and
interference mitigation by multiantenna processing in wireless networks. The denominators …
interference mitigation by multiantenna processing in wireless networks. The denominators …
A survey on MIMO transmission with finite input signals: Technical challenges, advances, and future trends
Multiple antennas have played an essential role in spatial multiplexing and diversity
transmission for a wide range of communication applications. Most advances in the design …
transmission for a wide range of communication applications. Most advances in the design …
Hybrid analog-digital channel estimation and beamforming: Training-throughput tradeoff
This paper develops hybrid analog-digital channel estimation and beamforming techniques
for multiuser massive multiple-input multiple-output (MIMO) systems with limited number of …
for multiuser massive multiple-input multiple-output (MIMO) systems with limited number of …