The capacity of interference network is a fundamental issue that eludes the researchers for
decades. Interference alignment (IA) is an emerging interference management technique …

In this paper, we consider decentralized federated learning (FL) over wireless networks,
where over-the-air computation (AirComp) is adopted to facilitate the local model consensus …

Recently cellular networks have been densely and heterogeneously deployed indoors and
outdoors to expand the network capacity, and thus the in-building propagation loss and the …

In this paper, we propose interference alignment (IA) schemes for downlink multiple-input-
multiple-output heterogeneous networks (HetNets) with partial connectivity, which is induced …

In this paper, we investigate the transmitter cooperation based topological interference
management (TIM) scheme for MIMO Interference Channels (IC), where there is no channel …

This paper proposes a linear interference alignment (IA) scheme, which can be used for
uplink channels in a general multicell multiuser multiple-input-multiple-output (MIMO) …

Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity
scaling at high SNR in interference networks. However, most existing IA designs require full …

Device-to-Device (D2D) communication has been a promising technology for the fifth
generation (5G) wireless network owing to the higher throughput, less energy consumption …

It is well-known that interference alignment (IA) can achieve substantial theoretical gains in
multiple-input multiple-output (MIMO) networks. However, the conventional works usually …

In this paper, we investigate the interference alignment (IA) for a class of partially connected
multi-input multi-output heterogeneous networks, which consist of L fully connected pico …