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

Both caching and interference alignment (IA) are promising techniques for next-generation
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …

IA is a promising technology for interference management in wireless networks. However,
there are still some practical challenges. Signal to interference plus noise ratio (SINR) …

We consider the K-cell multiple-input multiple-output (MIMO) interfering multiple-access
channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base …

Both caching and interference alignment (IA) are promising techniques for future wireless
networks. Nevertheless, most of existing works on cache-enabled IA wireless networks …

In this paper, we propose an opportunistic downlink interference alignment (ODIA) for
interference-limited cellular downlink, which intelligently combines user scheduling and …

We introduce an opportunistic interference mitigation (OIM) protocol, where a user
scheduling strategy is utilized in K-cell uplink networks with time-invariant channel …

In this paper, we address the problem of interference alignment (IA) over MIMO interference
channels with limited channel state information (CSI) feedback based on quantization …

In this study, we first present a framework that jointly optimizes energy harvesting and
information decoding for Internet of Things (IoT) devices, which are capable of simultaneous …

In this study, we propose a novel sum-rate enhancement framework for future 6G multi-cell
multiple-input multiple-output (MIMO) uplink networks, which exploits the coordinated …