Hybrid Precoding for an Adaptive Interference Decoding SWIPT System With Full-Duplex IoT Devices

Zhao, Xiongwen; Zhang, Yu; Geng, Suiyan; Du, Fei; Zhou, Zhenyu; Yang, Liuqing

doi:10.1109/jiot.2019.2953312

Cited by 25 publications

(18 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unless other stated, we set θ = −5 dBm, γ = 5 dBm, γ e = 2 dBm, η = 0.05, τ = 0.1, N = 4. For the practical nonlinear EH model, we set the circuit parameters as M n = 24 mW, Ω n = 150, and Ψ n = 0.014 [41][42][43][44].…”

Section: Numerical Results and Performance Analysismentioning

confidence: 99%

“…Although a large number of transmit antennas could improve the capacity, security rate, and bring other benefits to the system, they led a higher total power consumption. [41][42][43][44].…”

Section: Numerical Results and Performance Analysismentioning

confidence: 99%

“…The non-linear parametric EH model was adopted here since it is more practical than the linear one [41][42][43][44]. After energy harvesting, the power harvested at each WMN node n ∈ {a, b, c} was modeled as…”

Section: System Modelmentioning

confidence: 99%

See 2 more Smart Citations

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Zhao

Geng

et al. 2020

Information

Self Cite

View full text Add to dashboard Cite

Wireless mesh networks (WMNs) can provide flexible wireless connections in a smart city, internet of things (IoT), and device-to-device (D2D) communications. The performance of WMNs can be greatly enhanced by adopting a multi-radio technique, which enables a node to communicate with more nodes simultaneously. However, multi-radio WMNs face two main challenges, namely, energy consumption and physical layer secrecy. In this paper, both simultaneous wireless information and power transfer (SWIPT) and cooperative jamming technologies were adopted to overcome these two problems. We designed the SWIPT and cooperative jamming scheme, minimizing the total transmission power by properly selecting beamforming vectors of the WMN nodes and jammer to satisfy the individual signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) constrains. Especially, we considered the channel estimate error caused by the imperfect channel state information. The SINR of eavesdropper (Eve) was suppressed to protect the secrecy of WMN nodes. Due to the fractional form, the problem was proved to be non-convex. We developed a tractable algorithm by transforming it into a convex one, utilizing semi-definite programming (SDP) relaxation and S-procedure methods. The simulation results validated the effectiveness of the proposed algorithm compared with the non-robust design.

show abstract

Section: Numerical Results and Performance Analysismentioning

confidence: 99%

Section: Numerical Results and Performance Analysismentioning

confidence: 99%

See 1 more Smart Citation

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Zhao

Geng

et al. 2020

Information

Self Cite

View full text Add to dashboard Cite

show abstract

“…A spectrum sharing-method was proposed to set the appropriate price in [36] to maximize users' throughput and the profit of operators. Duan et al studied price competition and spectrum leasing between two MVNOs in a secondary spectrum market [13]. They assumed that the two secondary operators set prices simultaneously to serve a number of SUs.…”

Section: Related Workmentioning

confidence: 99%

“…In general, the government statically allocates the licensed spectrum resource. Recent studies have shown that the static spectrum allocation scheme cannot handle the data generated by these smart devices [12,13]. The paradox that IoT devices are in a great need for wireless network services and the spectrum has not been fully utilized indicates that the current static spectrum resource allocation policy has some shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Competition of Duopoly MVNOs for IoT Applications through Wireless Network Virtualization

Zhang¹,

Li²,

Zhao

et al. 2020

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Network performance is of great importance for processing Internet of Things (IoT) applications in the fifth-generation (5G) communication system. With the increasing number of the devices, how network services should be provided with better performances is becoming a pressing issue. The static resource allocation of wireless networks is becoming a bottleneck for the emerging IoT applications. As a potential solution, network virtualization is considered a promising approach to enhancing the network performance and solving the bottleneck issue. In this paper, the problem of wireless network virtualization is investigated where one wireless infrastructure provider (WIP), mobile virtual network operators (MVNOs), and IoT devices coexist. In the system model under consideration, with the help of a software-defined network (SDN) controller, the WIP can divide and reconfigure its radio frequency bands to radio frequency slices. Then, two MVNOs, MVNO1 and MVNO2, can lease these frequency slices from the WIP and then provide IoT network services to IoT users under competition. We apply a two-stage Stackelberg game to investigate and analyze the relationship between the two MVNOs and IoT users, where MVNO1 and MVNO2 firstly try to maximize their profits by setting the optimal network service prices. Then, IoT users make decisions on which network service they should select according to the performances and prices of network services. Two competition cases between MVNO1 and MVNO2 are considered, namely, Stackelberg game (SG) where MVNO1 is the leader whose price of network service is set firstly and MVNO2 is the follower whose network service price is set later and noncooperative strategic game (NSG) under which the service prices of MVNO1 and MVNO2 are simultaneously set. Each IoT user decides whether and which MVNO to select on the basis of the network service prices and qualities. The numerical results are provided to show the effectiveness of our game model and the proposed solution method.

show abstract

Waveform Design for Integrated Data and Energy Transfer

Hu,

Yang

2024

Textbooks in Telecommunication Engineering

View full text Add to dashboard Cite

Hybrid Precoding for an Adaptive Interference Decoding SWIPT System With Full-Duplex IoT Devices

Cited by 25 publications

References 44 publications

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Competition of Duopoly MVNOs for IoT Applications through Wireless Network Virtualization

Waveform Design for Integrated Data and Energy Transfer

Contact Info

Product

Resources

About