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One-bit MUSIC
In this letter, we consider the problem of direction-of-arrival (DOA) estimation with one-bit
quantized array measurements. With analysis, it is shown that, under mild conditions the one …
quantized array measurements. With analysis, it is shown that, under mild conditions the one …
Energy-efficient processing and robust wireless cooperative transmission for edge inference
Edge machine learning can deliver low-latency and private artificial intelligent (AI) services
for mobile devices by leveraging computation and storage resources at the network edge …
for mobile devices by leveraging computation and storage resources at the network edge …
Joint spectrum and power allocation for v2x communications with imperfect csi
In Vehicle-to-Everything (V2X) communication, the high mobility of vehicles generates the
Doppler shift which leads to channel uncertainties. Moreover, the reasons for channel …
Doppler shift which leads to channel uncertainties. Moreover, the reasons for channel …
Power optimization of cell-free massive MIMO with full-duplex and low-resolution ADCs
This paper analyzes the spectral/energy efficiency (SE/EE) of a full-duplex (FD) cell-free
(CF) massive multiple-input multiple-output (mMIMO) over Rician fading channels. Due to …
(CF) massive multiple-input multiple-output (mMIMO) over Rician fading channels. Due to …
Quantizing heavy-tailed data in statistical estimation:(near) minimax rates, covariate quantization, and uniform recovery
Modern datasets often exhibit heavy-tailed behavior, while quantization is inevitable in
digital signal processing and many machine learning problems. This paper studies the …
digital signal processing and many machine learning problems. This paper studies the …
High dimensional statistical estimation under uniformly dithered one-bit quantization
In this paper, we propose a uniformly dithered 1-bit quantization scheme for high-
dimensional statistical estimation. The scheme contains truncation, dithering, and …
dimensional statistical estimation. The scheme contains truncation, dithering, and …
Learning-based robust resource allocation for ultra-reliable V2X communications
Vehicle-to-everything (V2X) communications face a great challenge in delivering not only
the low-latency and ultra-reliable safety-related services but also the minimum throughput …
the low-latency and ultra-reliable safety-related services but also the minimum throughput …
Low-resolution ADC quantized full-duplex massive MIMO-enabled wireless backhaul in heterogeneous networks over Rician channels
This paper studies the spectral/energy efficiency (SE/EE) of a heterogeneous network with
the backhaul enabled by low-resolution analog-to-digital converters (ADCs) quantized full …
the backhaul enabled by low-resolution analog-to-digital converters (ADCs) quantized full …
Energy efficient hybrid beamforming for multi-user millimeter wave communication with low-resolution A/D at transceivers
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) communication systems
with a large number of antennas are power hungry when using conventional high-resolution …
with a large number of antennas are power hungry when using conventional high-resolution …
Analysis of indoor THz communication systems with finite-bit DACs and ADCs
Terahertz (THz) communication is foreseen to be a key technology for the 6G wireless
communications. In this paper, the performance of downlink Terahertz (THz) communication …
communications. In this paper, the performance of downlink Terahertz (THz) communication …