Miao Liu

Nanjing University of Posts and Telecommunications · College of Telecommunications & Information Engineering

The Internet of Things (IoT) has attracted significant attentions in the fifth generation (5G) mobile networks and the smart cities. However, considering the large numbers of connectivity demands, it is vital to improve the spectrum efficiency (SE) of the IoT with an affordable power consumption. To improve the SE, the non-orthogonal multiple acces...

Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on optimizing the network performance in cognitive radio networks. In this paper, an EE+SE tradeoff based target is considered for the primary users (PUs) and the secondary users (SUs). First of all, considering the orthogonal frequency division multiple access...

The Internet of things (IoT) has significant importance in the beyond fifth generation (B5G) communication systems. However, the IoT is vulnerable to disasters because the network is mains powered and the devices are delicate. In this study, an unmanned aerial vehicle (UAV) is utilized to assist with emergency communications in a heterogeneous IoT...

This paper aims to improve spectrum efficiency (SE) for the unmanned aerial vehicle (UAV) relayed cellular uplinks, through distinguishing both line of sight (LoS) and non-line of sight (NLoS) links. Meanwhile, aiming to accommodate the air-to-ground (A2G) cooperative non-orthogonal multiple access (NOMA) based cellular users (CUs) with a high ener...

p>The innovations of sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this paper based on the analysis of related works. With the aim of improving multiple communication targets in each service, five 6G core services are identified for different target requirements. Two centricities and eight key p...

Millimeter wave (mmWave) massive multiple input multiple output (MIMO) and non-orthogonal multiple access (NOMA) are recognized as key technologies in the forthcoming beyond the fifth-generation (B5G) and the sixth-generation (6G) wireless networks. In this paper, we propose a multi-beam MIMO NOMA scheme where each beam is augmented by weighted bea...

This paper proposes an unmanned aerial vehicle (UAV)-aided full-duplex non-orthogonal multiple access (FD-NOMA) method to improve spectrum efficiency. Here, UAV is utilized to partially relay uplink data and achieve channel differentiation. Successive interference cancellation algorithm is used to eliminate the interference from different direction...

Unmanned aerial vehicle (UAV) assisted wireless caching networks (WCN) have been recognized as a promising way to reduce the network load and improve the energy efficiency in the sixth generation (6G) communication systems. Aiming to improve spectrum efficiency and system capacity, we apply non-orthogonal multiple access (NOMA) in UAV-assisted WCN...

Automatic modulation classification (AMC) is a critical step to recognize the unknown signal modulation types. It is widely applied in non-cooperative communication systems with diverse modulation types and complex communication environments. In recent years, existing deep learning based AMC methods have been developed to improve the performance of...

Non-orthogonal multiple access (NOMA) based wireless caching network (WCN) is considered as a promising technology for next-generation wireless communications since it can significantly improve the spectral efficiency. In this letter, we propose a quality of service (QoS)-oriented dynamic power allocation strategy for NOMA-WCN. In content placement...

Non-orthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the Fifth Generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand of higher SE in the NOMA based wireless communications. However, traditional ground-to-ground (G2G) communicat...

A transversal coordinate frame based on a reference ellipsoid is proposed to solve problems associated with strapdown inertial navigation systems (SINSs) in polar regions. However, a commercial-grade SINS can still suffer from cumulative errors even if the transversal coordinate frame is used. To solve this problem, complementary sensors can be use...

The ever-increasing amount of data in cellular networks poses challenges for network operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs)-based hard decision methods are difficult to undertake the task of QoE anomaly detection in the case of big data. To solve this problem, in this paper, we propose a KQIs...

Video services have hold a surprising proportion of the whole network traffic in wireless communication networks. Accurate prediction of video traffic can endow networks with intelligence in resource management, especially for the forthcoming beyond the fifth-generation (B5G) networks. However, the existing approaches fail to accurately predict vid...

This paper considers a multiple-input-multiple-output (MIMO) energy-harvesting (ER) system, which is made up of a source (S) and a destination (D) as well as an eavesdropper (E). In this system, S, D and E are equipped with multiple antennas and S can be charged by a power beacon (PB) in the energy-harvesting phase of the total communication proces...

In the fifth-generation (5G) wireless communications system, various service requirements under different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous networks (HetNet) have been fully studied in recent years. In contrast to conventional homogeneous networks, the key feature of HetNet...

div>Non-orthogonal multiple access (NOMA) based wireless caching network (WCN) is considered as one of the most promising technologies for next-generation wireless communications since it can significantly improve the spectral efficiency. In this paper, we propose a quality of service (QoS)-oriented dynamic power allocation strategy for NOMA-W...

In the fifth-generation (5G) wireless communications system, various service requirements under different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous networks (HetNet) have been fully studied in recent years. In contrast to conventional homogeneous networks, the key feature of HetNet...

Support vector machine (SVM) is a powerful machine learning technology and the distinctive generalization ability makes it one of the most popular approximation tools in the field of internet of things (IoT) based marine data processing. However, SVM has been criticized for trial and error of parameters, especially kernel function. How to determine...

Non-orthogonal multiple access (NOMA) based wireless caching network (WCN) is considered as one of the most promising technologies for next-generation wireless communications since it can significantly improve the spectral efficiency. In this paper, we propose a quality of service (QoS)-oriented dynamic power allocation strategy for NOMA-WCN. In co...

The innovations provided by sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this article based on analysis of related works. With the aim of achieving diverse performance improvements for the various 6G requirements, five 6G core services are identified. Two centricities and eight key performance...

Automatic modulation classification (AMC) is an promising technology for non-cooperative communication systems in both military and civilian scenarios. Recently, deep learning (DL) based AMC methods have been proposed with outstanding performances. However, both high computing cost and large model sizes are the biggest hinders for deployment of the...

Video services have hold a surprising proportion of the whole network traffic in wireless communication networks. Accurate prediction of video traffic can endow networks with intelligence in resource management, especially for the forthcoming beyond the fifth-generation (B5G) networks. However, the existing approaches fail to accurately predict vid...

Video services have hold a surprising proportion of the whole network traffic in wireless communication networks. Accurate prediction of video traffic can endow networks with intelligence in resource management, especially for the forthcoming beyond the fifth-generation (B5G) networks. However, the existing approaches fail to accurately predict vid...

Automatic modulation classification (AMC) is an promising technology for non-cooperative communication systems in both military and civilian scenarios. Recently, deep learning (DL) based AMC methods have been proposed with outstanding performances. However, both high computing cost and large model sizes are the biggest hinders for deployment of the...

Automatic modulation classification (AMC) is an promising technology for non-cooperative communication systems in both military and civilian scenarios. Recently, deep learning (DL) based AMC methods have been proposed with outstanding performances. However, both high computing cost and large model sizes are the biggest hinders for deployment of the...

Non-orthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the fifth generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand of higher SE in the NOMA based wireless communications. However, traditional ground-to-ground (G2G) communicat...

Non-orthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the fifth generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand of higher SE in the NOMA based wireless communications. However, traditional ground-to-ground (G2G) communicat...

The ever-increasing amount of data in cellular networks poses challenges for network operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs)-based hard decision methods are difficult to undertake the task of QoE anomaly detection in the case of big data. To solve this problem, in this paper, we propose a KQIs...

The ever-increasing amount of data in cellular networks poses challenges for network operators to monitor the quality of experience (QoE). Traditional key quality indicators (KQIs)-based hard decision methods are difficult to undertake the task of QoE anomaly detection in the case of big data. To solve this problem, in this paper, we propose a KQIs...

p>The innovations of sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this paper based on the analysis of related works. With the aim of improving multiple communication targets in each service, five 6G core services are identified for different target requirements. Two centricities and eight key p...

This paper aims to improve spectrum efficiency (SE) for the unmanned aerial vehicle (UAV) relayed cellular uplinks, through distinguishing both line of sight (LoS) and non-line of sight (NLoS) links. Meanwhile, aiming to accommodate the air-to-ground (A2G) cooperative non-orthogonal multiple access (NOMA) based cellular users (CUs) with a high ener...

With the development of wireless communications and internet of things (IoT), non-orthogonal multiple access (NOMA) has been considered as one of effective schemes to meet the rapidly growing user access requirements. Two types of NOMA, i.e., NOMA-2000 and power-domain NOMA (PD-NOMA), have been proposed in recent years. The first one is a superposi...

Frequency division duplex (FDD) systems dominate current cellular networks due to its advantages of low latency and strong anti-interference ability. However, the computation and the feedback overheads for predicting the downlink channel state information (DL-CSI) are the major bottlenecks to further improve the cellular FDD systems performance. To...

Automatic modulation recognition (AMR) is an essential and challenging topic in the development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation and demodulation capabilities to sense and learn environments and make corresponding adjustments. AMR is essentially a classification problem, and deep learning achieves outst...

Resource allocation (RA) for mobile secondary users (SUs) is considered one of the most important techniques for designing the next-generation cognitive radio network (CRN). In this paper, ‘effective capacity (EC)’ is proposed to improve the RA performance for an underlay-based mobile CRN. By optimizing EC, an efficient resource allocation scheme i...

Recently, researches on mobile cognitive radio network (CRN) has been paid more attention to, involving spectrum sensing, power control and spectrum access, while no schemes considering both the power and spectrum assignment at the same time. In this paper, an efficient resource allocation (RA) scheme is proposed for the orthogonal frequency divisi...

Cognitive radio (CR) is proposed to use the spectrum opportunistically. In this letter, we study the tradeoff between the spectrum sensing performance and the utilization of spectrum opportunity in the CR network. We formulate the tradeoff problem mathematically. The optimum tradeoff mainly depends on the activity of primary user (PU). Cooperative...

Power distribution network is the bridge between power transmission and power consumers, which is an important part of directly feeling the service quality of the power supply by consumers. Intelligent power distribution network of smart grid is an important means to improve power supply reliability and quality of power supply, and real-time monito...