Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …

Interference alignment (IA) is a promising technique for interference management and can
be applied to spectrum sharing in cognitive radio (CR) networks. However, the sum rate may …

为了提高异构携能通信网络能效和顽健性, 研究了能效最大的顽健联合发射功率和功率分流资源
分配问题. 基于最小最大概率机和Dinkelbach 理论, 将原NP-hard 问题转换为凸优化形式 …

In this paper, a two-hop decode-and-forward wireless powered relaying cognitive radio
network with interference alignment over Rayleigh fading channels is investigated. The …

Nowadays, wireless communication system is facing the problems of spectrum resource
shortage. Cognitive radio technology allows cognitive users to use the spectrums authorized …

In this paper, we investigate a deep learning (DL)-based resource allocation strategy for an
underlay cognitive radio network with multiple-input-single-output interference channels …

With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …

The problem of joint power and admission control (JPAC) is a critical issue encountered in
underlay cognitive radio networks (CRNs). Moving forward towards the realization of Fifth …

This paper proposes a resource allocation strategy for multi-channel underlay cognitive
radio (CR) systems by means of an ensemble deep learning framework. The transmit power …

In cognitive radio networks, conventional power control algorithms (PCAs) based on
instantaneous perfect channel gain may lead to performance degradation in practical …