Ying-Chang Liang

article

Statistical spectrum occupancy prediction for dynamic spectrum access: a classification

Hamid Eltom, Sithamparanathan Kandeepan, Robin J. Evans, Ying Chang Liang, more

EURASIP Journal on Wireless Communications and Networking > 2018 > 2018 > 1 > 1-17

ᅟ Spectrum scarcity due to inefficient utilisation has ignited a plethora of dynamic spectrum access solutions to accommodate the expanding demand for future wireless networks. Dynamic spectrum access systems allow secondary users to utilise spectrum bands owned by primary users if the resulting interference is kept below a pre-designated threshold. Primary and secondary user spectrum occupancy patterns...

article

A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks

Lin Zhang, Ming Xiao, Gang Wu, Muhammad Alam, more

IEEE Wireless Communications > 2017 > 24 > 5 > 44 - 51

Spectrum efficiency is one of the key performance metrics in 5G communication networks. To enhance spectrum efficiency, advanced spectrum sharing techniques are normally used. In this article, we provide a survey of the recent development of advanced techniques for spectrum sharing. In particular, we elaborate cognitive radio, device-todevice communication, in-band full-duplex communication, non-orthogonal...

article

Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying

Lin Zhang, Jiaqi Liu, Ming Xiao, Gang Wu, more

IEEE Journal on Selected Areas in Communications > 2017 > 35 > 10 > 2398 - 2412

We study a downlink non-orthogonal multiple access system with cooperative full-duplex relaying, where the near user in terms of the base station (BS) is enabled to act as a full-duplex relay for the far user. In particular, we first derive the outage probability and ergodic sum rate with closed-form expressions when the power allocations at the BS and relay (or the near user) are fixed. Then, we...

article

Sparsity Independent Sub-Nyquist Rate Wideband Spectrum Sensing on Real-Time TV White Space

Yuan Ma, Yue Gao, Andrea Cavallaro, Clive G. Parini, more

IEEE Transactions on Vehicular Technology > 2017 > 66 > 10 > 8784 - 8794

Wideband spectrum sensing is a highly desirable feature in cognitive radio systems when the aim is to increase the probability of exploring spectral opportunities. Sub-Nyquist sampling has attracted significant interest for wideband spectrum sensing, while existing algorithms can only work with a sparse spectrum. In this paper, we propose a sub-Nyquist wideband spectrum sensing algorithm that achieves...

article

Novel Bayesian Inference Algorithms for Multiuser Detection in M2M Communications

Xiaoxu Zhang, Ying-Chang Liang, Jun Fang

IEEE Transactions on Vehicular Technology > 2017 > 66 > 9 > 7833 - 7848

The fifth generation and future wireless networks are expected to support massive machine-to-machine (M2M) communications. Due to the sporadic nature, massive M2M communications can be well supported by low-activity code division multiple access (LA-CDMA). In the literature, maximum a posteriori detector has been proposed to detect the active users in LA-CDMA when the user activity factor is known...

article

QoE and Energy Aware Resource Allocation in Small Cell Networks With Power Selection, Load Management, and Channel Allocation

Ducheng Wu, Qihui Wu, Yuhua Xu, Ying-Chang Liang

IEEE Transactions on Vehicular Technology > 2017 > 66 > 8 > 7461 - 7473

With the ever-growing number of mobile users and the rapid growth of wireless data service requirement, quality of experience (QoE) has emerged as an essential indicator for users, service providers, and operators. Meanwhile, to improve coverage and serve users, a lot of small cell base stations (SBSs) must be installed, and a great amount of energy is consumed. However, as far as is known, there...

article

Cognitive Radio With Self-Power Recycling

Hang Hu, Ying-Chang Liang, Hang Zhang, Boon-Hee Soong

IEEE Transactions on Vehicular Technology > 2017 > 66 > 7 > 6201 - 6214

In cognitive radio networks, a secondary user (SU) equipped with radio frequency (RF) energy-harvesting circuits can not only harvest the RF energy from the primary transmitter, but also recycle its self-power when transmitting. In this paper, we are concerned with the following design metrics: SU's harvested energy, SU's energy efficiency, and SU's harvesting efficiency, which is defined as the ratio...

article

Sequential Detection for Cognitive Radio With Multiple Primary Transmit Power Levels

Zan Li, Shuijun Cheng, Feifei Gao, Ying-Chang Liang

IEEE Transactions on Communications > 2017 > 65 > 7 > 2769 - 2780

In this paper, we consider the sequential detection problem in a new cognitive radio scenario when the primary user (PU) works with more than one transmit power level. Different from most existing literature where PU is assumed to operate with a constant transmit power only, this new consideration well matches the practical standards, e.g., IEEE 802.11 Series, LTE, LTE-A, and so on, as well as the...

article

End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks With RF Energy Harvesting

Chi Xu, Meng Zheng, Wei Liang, Haibin Yu, more

IEEE Transactions on Wireless Communications > 2017 > 16 > 6 > 3561 - 3572

This paper studies a green paradigm for the underlay coexistence of primary users (PUs) and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs), wherein battery-free SUs capture both the spectrum and the energy of PUs to enhance spectrum efficiency and green energy utilization. To lower the transmit powers of SUs, we employ multi-hop transmission with time division multiple...

chapter

On the spectral efficiency and relay energy efficiency of full-duplex relay channel

Zhengchuan Chen, Tony Q. S. Quek, Ying-Chang Liang

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

Incorporating the effect of residual self-interference, the spectral efficiency (SE) of full-duplex relay channel is analyzed for different relay schemes. The optimal relay power and the corresponding optimal SE have been derived in closed form for decode-forward, compress-forward, and amplify-forward (AF) schemes. In particular, backward decoding is introduced to the AF scheme in the presence of...

chapter

Two-stage uplink training for pilot spoofing attack detection and secure transmission

Jiandong Xie, Ying-Chang Liang, Jun Fang, Xin Kang

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

In a multi-antenna time-division duplex (TDD) communication system, due to channel reciprocity, the downlink channel state information can be obtained by conducting uplink training. In a wire-tap channel, an active eavesdropper can perform active eavesdropping by pilot spoofing attack. In such an attack, the eavesdropper, during the uplink training phase, transmits the identical pilot sequence as...

chapter

Riding on the primary: A new spectrum sharing paradigm for wireless-powered IoT devices

Xin Kang, Ying-Chang Liang, Jing Yang

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

In this paper, a new spectrum sharing model referred to as riding on the primary (RoP) is proposed for wireless- powered IoT devices with ambient backscatter communication capabilities. The key idea of RoP is that the secondary transmitter harvests energy from the primary signal, then modulates its information bits to the primary signal, and reflects the modulated signal to the secondary receiver...

chapter

Bayesian learning based multiuser detection for M2M communications with time-varying user activities

Xiaoxu Zhang, Ying-Chang Liang, Jun Fang

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

Machine-to-Machine (M2M) communication plays a significant role in supporting Internet of Thing (IoT). This paper is concerned about multiuser detection (MUD) for massive M2M supported by Low-Activity Code Division Multiple Access (LA-CDMA). In previous work, maximum likelihood (ML) and maximum a posterior probability (MAP) detectors have been developed for such system. The ML detector has exponential...

chapter

Cooperative receiver for ambient backscatter communications with multiple antennas

Gang Yang, Ying-Chang Liang, Qianqian Zhang

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

In ambient backscatter communications (Am-BC), a backscatter device can harvest power from ambient RF signals and modulate its information symbols over the ambient carriers without using complex RF transmitter. Conventional receiver design for AmBC focuses on tackling the direct link interference from the RF source. In this paper, a novel receiver, which is called cooperative receiver, is proposed...

article

Spectral Efficiency and Relay Energy Efficiency of Full-Duplex Relay Channel

Zhengchuan Chen, Tony Q. S. Quek, Ying-Chang Liang

IEEE Transactions on Wireless Communications > 2017 > 16 > 5 > 3162 - 3175

Full-duplex relaying has the potential to improve the spectral efficiency (SE) of cooperative communication systems. Due to residual self-interference (RSI), increase of the relay power does not always contribute to SE improvement. To fully utilize full-duplex relaying in cooperative communications, the effect of RSI on the SE achieved by different relay schemes need to be investigated. In this paper,...

article

Wireless big data: transforming heterogeneous networks to smart networks

Yudi Huang, Junjie Tan, Ying-Chang Liang

Journal of Communications and Information Networks > 2017 > 2 > 1 > 19-32

In HetNets (Heterogeneous Networks), each network is allocated with fixed spectrum resource and provides service to its assigned users using specific RAT (Radio Access Technology). Due to the high dynamics of load distribution among different networks, simply optimizing the performance of individual network can hardly meet the demands from the dramatically increasing access devices, the consequent...

chapter

Fast Algorithms for FBMC and GFDM in Dynamic Spectrum Access

Yonghong Zeng, Ying-Chang Liang, Meng Wah Chia, The Hanh Pham

2017 IEEE Wireless Communications and Networking Conference (WCNC) > 1 - 6

2017 IEEE Wireless Communications and Networking Conference (WCNC)

Dynamic spectrum access or cognitive radio is widely recognized as a major technology in the coming 5G communications to greatly increase spectral efficiency. In cognitive radio, different networks#x002F;systems may dynamically share some spectrum to achieve the maximum overall capacity. Each network#x002F;system may just use a few subcarriers or a few non-contiguous frequencies at a given time. It...

article

Spectrum Sensing for Cognitive Radios With Unknown Noise Variance and Time-variant Fading Channels

Shenghong Li, Mengwei Sun, Ying-Chang Liang, Bin Li, more

IEEE Access > 2017 > 5 > 21992 - 22003

The unknown noise variance and time-variant fading channels make the spectrum sensing design a challenging task for cognitive radios. Most existing sensing methods suffer from the information uncertainty and can hardly acquire promising performances in the adverse situations. To address this challenge, in this paper, we first formulate a dynamic state-space model for spectrum sensing, in which the...

article

Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach

Shi Pan, Xiaohui Zhao, Ying-Chang Liang

IEEE Access > 2017 > 5 > 18778 - 18792

In this paper, we investigate the robust power allocation issue in orthogonal frequency division multiplexing-based cognitive radio networks (CRNs) with unavoidable uncertainties (channel perturbations and variable environment). In this case, to control the performance degradation due to the uncertainties, we maximize the data rate of secondary users (SUs) by considering maximum allowable interference...

article

Primary Channel Gain Estimation for Spectrum Sharing in Cognitive Radio Networks

Lin Zhang, Guodong Zhao, Wenli Zhou, Liying Li, more

IEEE Transactions on Communications > 2017 > 65 > 10 > 4152 - 4162

In cognitive radio networks, the channel gain between primary transceivers, namely, primary channel gain, is crucial for a cognitive transmitter (CT) to control the transmit power and achieve spectrum sharing. Conventionally, the primary channel gain is estimated in the primary system, and thus unavailable at the CT. To deal with the issue, two estimators are proposed by enabling the CT to sense primary...

INFONA - science communication portal

Search results for: Ying-Chang Liang

Statistical spectrum occupancy prediction for dynamic spectrum access: a classification

A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks

Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying

Sparsity Independent Sub-Nyquist Rate Wideband Spectrum Sensing on Real-Time TV White Space

Novel Bayesian Inference Algorithms for Multiuser Detection in M2M Communications

QoE and Energy Aware Resource Allocation in Small Cell Networks With Power Selection, Load Management, and Channel Allocation

Cognitive Radio With Self-Power Recycling

Sequential Detection for Cognitive Radio With Multiple Primary Transmit Power Levels

End-to-End Throughput Maximization for Underlay Multi-Hop Cognitive Radio Networks With RF Energy Harvesting

On the spectral efficiency and relay energy efficiency of full-duplex relay channel

Two-stage uplink training for pilot spoofing attack detection and secure transmission

Riding on the primary: A new spectrum sharing paradigm for wireless-powered IoT devices

Bayesian learning based multiuser detection for M2M communications with time-varying user activities

Cooperative receiver for ambient backscatter communications with multiple antennas

Spectral Efficiency and Relay Energy Efficiency of Full-Duplex Relay Channel

Wireless big data: transforming heterogeneous networks to smart networks

Fast Algorithms for FBMC and GFDM in Dynamic Spectrum Access

Spectrum Sensing for Cognitive Radios With Unknown Noise Variance and Time-variant Fading Channels

Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach

Primary Channel Gain Estimation for Spectrum Sharing in Cognitive Radio Networks

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