6 papers
Fractional Programming for Kullback-Leibler Divergence in Hypothesis Testing
Jeongwoo Park, Seongkyu Jung, Kaiming Shen +1
Maximizing the Kullback-Leibler divergence (KLD) is a fundamental problem in waveform design for active sensing and hypothesis testing, as it directly relates to the error exponent…
Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks
Jiansheng Li, Shuqi Chai, Fan Xu +4
This paper investigates the joint resource block group (RBG) scheduling and beamforming optimization problem for weighted sum-rate (WSR) maximization in multi-cell multiuser multip…
Ellipsoidal Manifold Optimization for Distributed Antenna Beamforming
Minhao Zhu, Kaiming Shen
This paper addresses the weighted sum-rate (WSR) maximization problem in a downlink distributed antenna system subject to per-cluster power constraints. This optimization scenario…
Fractional Programming for Stochastic Precoding over Generalized Fading Channels
Wenyu Wang, Kaiming Shen
This paper seeks an efficient algorithm for stochastic precoding to maximize the long-term average weighted sum rates throughout a multiple-input multiple-output (MIMO) network. Un…
Uplink Coordinated Pilot Design for 1-bit Massive MIMO in Correlated Channel
Hyeongtak Yun, Juntaek Han, Kaiming Shen +1
In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multipl…
Finite Horizon Optimization for Large-Scale MIMO
Yi Feng, Kaiming Shen
Large-scale multiple-input multiple-output (MIMO) is an emerging wireless technology that deploys thousands of transmit antennas at the base-station to boost spectral efficiency. T…