High power consumption and expensive hardware are two bottlenecks for practical massive
multiple-input multiple-output (mMIMO) systems. One promising solution is to employ low …

In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the
radius of the decoding hypersphere is learned by a deep neural network (DNN). The …

We design a co-time co-frequency full-duplex (CCFD) massive multiple-input multiple-output
(MIMO) network to improve the utilization of time-frequency resources and physical layer …

A massive number of Internet-of-things (IoT) devices communicate with each other in a
wireless network for applications like smart cities, smart classrooms and smart agriculture …

New perspectives for wireless communications have brought new techniques, such as a
very large number of antennas at a base station (BS) serving multiple user terminals (UTs) …

This paper investigates a two-way full-duplex decode-and-forward relaying system under
Rician fading channels with imperfect channel state information. In this system, multiple …

We derive tractable bound expressions on achievable spectral efficiency for a multiple-input
multiple-output (MIMO) system with a signal-to-leakage-plus-noise ratio precoding scheme …

We propose an interleaved training design for multi-user massive MIMO downlink and study
the performance thereof with the maximum-ratio transmission (MRT) precoding. In our …

This paper analyzes the outage probability for the uplink of multi-user massive multi-input-
multi-output systems with a mixed analog-to-digital converter (ADC) architecture, in which …

This paper considers a two-way half-duplex decode-and-forward relaying system, where
multiple pairs of single-antenna users exchange information via a multiple-antenna relay …