Low-Complexity Multiuser Detection in Millimeter-Wave Systems Based on Opportunistic Hybrid Beamforming

Yu, Quan; Han, Chao; Bai, Lin; Choi, Jinho; Shen, Xuemin

doi:10.1109/tvt.2018.2864615

Cited by 48 publications

(27 citation statements)

References 14 publications

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“…Therefore, based on the average outage probability for the kth D2D link of the lth cluster in (19) and (20), the average outage probability of the uplink and downlink of multi-hop D2D in the lth cluster can be obtained as a function of the successful probability for each hop as…”

Section: B Outage Probability Of Multi-hopmentioning

confidence: 99%

“…An anomaly detection system was developed by Lu et al in [14], to prevent the motor of the drone from operating at abnormal temperatures. As effective means, the millimeterwave and beamforming techniques [20] can also be adopted within the UAV-based networks [15]. Furthermore, a multiobjective path planning framework to explore a suitable path for a UAV operating in a dynamic urban environment was proposed by Yin et al in [16].…”

Section: Introductionmentioning

confidence: 99%

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Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

Liu

Zhao

et al. 2019

IEEE Internet Things J.

161

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Section: B Outage Probability Of Multi-hopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

Liu

Zhao

et al. 2019

IEEE Internet Things J.

161

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“…CR can mitigate the communication bandwidth problem faced by UAV networks. Due to explosive increase of IoT devices requiring access to Internet with increasing bandwidth requirements and the development of new generation communication technologies, such as millimeter wave technology and microcellular networks [16]- [18], more issues on applying CR to exploit access opportunities in wider ranging frequency for UAV networks need to addressed. The research on CS tackled the problem of acquiring wideband transmission with high efficiency.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Wideband Spectrum Sensing Algorithm for Unmanned Aerial Vehicle Communication Networks

Shu

Yan

et al. 2019

IEEE Internet Things J.

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With increasingly smaller size, more powerful sensing capabilities and higher level of autonomy, multiple unmanned aerial vehicles (UAVs) can form UAV networks to collaboratively complete missions more reliably, efficiently and economically. While UAV networks are promising for many applications, there are many outstanding issues to be resolved before large scale UAV networks are practically used. In this paper we study the application of cognitive radio technology for UAV communication networks, to provide high capacity and reliable communication with opportunistic and timely spectrum access. Compressive sensing is applied in the cognitive radio to boost the performance of spectrum sensing. However, the performance of existing compressive spectrum sensing schemes is constrained with non-strictly sparse spectrum. In addition, the reconstruction process applied in existing schemes has unnecessarily high computational complexity and low energy efficiency. We proposed a new compressive signal processing algorithm, called Iterative Compressive Filtering, to improve the UAV network communication performance. The key idea is using orthogonal projection as a bandstop filter in compressive domain. The components of primary users (PUs) in the recognized subchannels are adaptively eliminated in compressive domain, which can directly update the measurement for further detection of other active users. Experiment results showed increased efficiency of the proposed algorithm over existing compressive spectrum sensing algorithms. The proposed algorithm achieved higher detection probability in identifying the occupied subchannels under the condition of non-strictly sparse spectrum with large computational complexity reduction, which can provide strong support of reliable and timely communication for UAV networks.

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“…Nowadays, the unmanned aerial vehicle (UAV) has been widely investigated in conjunction with wireless communication networks [1], [2], [3], [4], as it can provide an ondemand flexible platform for deploying aerial base stations, or mounting mobile access points (APs) [5]. Particularly, the UAV has been recognized as one of the main key enablers of the Internet of Things (IoT) vision, thanks to its agile usability [6].…”

Section: Introductionmentioning

confidence: 99%