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

Research on 5G mobile wireless technologies has been very active in both academia and
industry in the past few years. While there has been certain consensus on the overall …

The interference alignment (IA) is a promising technique to efficiently mitigate interference
and to enhance capacity of a wireless communication network. This paper proposes an …

In this paper, we analyze the feasibility of linear interference alignment (IA) for multi-input-
multi-output (MIMO) interference broadcast channel (MIMO-IBC) with constant coefficients …

This paper focuses on interference issues arising in the downlink of a heterogeneous
network (HetNet), where small cells are deployed within a macrocell. Interference scenario …

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 tackle the joint computation and communication resource allocation
problem for mixed-task user-concerned fog computing. To deal with diverse kinds of …

It is known that interference alignment (IA) plays an important role in improving the degree of
freedom (DoF) of multi-input and multi-output (MIMO) systems. However, most of the …

Cell densification is a key driver to increase area spectral efficiencies in multi-antenna
cellular systems. As increasing the density of base stations (BSs) and users that share the …

This paper investigates the symmetric degrees of freedom (DoF) of multiple-input multiple-
output (MIMO) cellular networks with G cells and K users per cell, having N antennas at each …