In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …

Vehicular ad hoc networks (VANETs) have recently become more significant to intelligent
transport systems (ITS). Recent works focused on improving throughput and decreasing …

The future of vehicular communication networks relies on mmWave massive multi-input-
multi-output antenna arrays for intensive data transfer and massive vehicle access …

To enable next-generation mmWave cellular, it is vital to design high-performance
precoding schemes for wideband multi-user (wMU) mmWave massive MIMO (mMIMO). As …

Federated learning (FL) is an emerging paradigm for distributed machine learning that uses
the data and the computational power of user devices while maintaining user privacy (eg …

Hybrid precoding is a cost-efficient technique for millimeter wave (mmWave) massive
multiple-input multiple-output (MIMO) communications. This paper proposes a deep learning …

Towards a green communication discipline, more energy-efficient wireless networks are
needed. In this paper, an energy-efficient interference management technique is proposed …

Carbon footprint monitoring provides significant basis for computing facilities to improve the
computing efficiency and reduce the energy cost, which can enable low/zero carbon …

It is well-known that dirty paper coding (DPC)-based transceiver can achieve the sum
capacity of a multi-input multi-output (MIMO) broadcast channel. In this paper, we study DPC …

Referring to the system equipped with single-bit converters, 1-bit mmWave communications
is gaining increasing attention for its superb cost efficiency. However, the inherent non-linear …