Joint Altitude and Hybrid Beamspace Precoding Optimization for UAV-Enabled Multiuser mmWave MIMO System

Chen, Zhen; Zhao, Nan; So, Daniel K. C.; Tang, Jie; Tang, Boyi; Zhang, Xiuyin; Wong, Kai-Kit

doi:10.1109/tvt.2021.3134044

Cited by 22 publications

(5 citation statements)

References 50 publications

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“…To make the performance comparison of the local search-based evolutionary strategy with the DLA-based scheme [15] and full precoding without RIS. We assume that the BS, the BS I , UE and the RIS are located at (0, 0), (550 m, 0), (d SU ,0), (d R , d RU ), respectively.…”

Section: B Simulation Resultsmentioning

confidence: 99%

Reconfigurable-Intelligent-Surface-Assisted B5G/6G Wireless Communications: Challenges, Solution, and Future Opportunities

Chen

Tang

et al. 2023

IEEE Commun. Mag.

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The power consumption and hardware cost are two of the main challenges for realizing beyond fifth-generation (B5G) and sixth-generation (6G) wireless communications. Recently, the emerging reconfigurable intelligent surface (RIS) have been recognized as a promising tool for enhancing the propagation environment and improving the spectral efficiency of wireless communications by controlling low-cost passive reflecting elements. However, current cellular communication were designed on the basis of conventional communication theories, significantly restrict the development of RISassisted B5G/6G technologies and lead to severe limitations. In this article, we discuss RIS-assisted channel estimation issues involved in B5G/6G communications including channel state information (CSI) acquisition, imperfect cascade CSI for beamforming design and co-channel interference coordination, and develop a few possible solutions or visionary technologies to promote the development of B5G/6G.Finally, potential research opportunities are discussed.

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Section: B Simulation Resultsmentioning

confidence: 99%

Reconfigurable-Intelligent-Surface-Assisted B5G/6G Wireless Communications: Challenges, Solution, and Future Opportunities

Chen

Tang

et al. 2023

IEEE Commun. Mag.

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“…The authors in [39] have derived the mathematical forms of the SOP and the ASC for the time-splitting (TS) and energy-splitting (ES) protocols when the SIC order of the NOMA LUs is based on the channel gains. In a millimeter wave (mmWave) beamspace MIMO system, the employment of UAVs equipped with lens antenna arrays (LAAs) is contemplated in [40] as a means to facilitate multi-user transmission. In order to minimize the number of RF chains, a UAV-enabled multiuser MIMO system that combines the UAV's altitude design with hybrid beamspace precoding is suggested.…”

Section: B Motivations and Contributionsmentioning

confidence: 99%

Investigations on Secrecy Performance of Downlink Overlay CR-NOMA System With SIC Imperfections

Godugu,

Vappangi

2024

IEEE Access

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Cognitive radio (CR) and non-orthogonal multiple access (NOMA) are two technologies witnessed to offer tremendous possibilities for the next generation wireless networks to maximise their usage of available spectrum. In this work, we evaluate the performance of a downlink overlay secure CR-NOMA system while the secondary transmitter (ST) is used as a decode-and-forward (DF) relay to assist the primary transmitter (PT) to transmit information to the destination i.e., primary user (PU), while covertly transmitting its own information to the secondary user (SU) against the eavesdropper (Eve) of PT. The secrecy performance comparison between two users i.e., PU and SU are obtained under perfect and imperfect successive interference cancellation (SIC), respectively. Furthermore, this paper investigates the secrecy performance comparison between the proposed overlay downlink CR-NOMA system comprising of single antenna (SA) and multiple antennas (MA) in terms of various performance metrics such as secrecy sum rate (SSR), the average secrecy rate (ASR), the average secrecy sum rate (ASSR), strictly positive secrecy rate (SPSC) and secrecy outage probability (SOP). It is to be noted that in our proposed system, MAs are equipped at both PT and ST with the main purpose to provide cooperative diversity and we employ both maximal ratio combining (MRC) and selection combining (SC) diversity techniques for processing the received signals at the PU/Eve which further improves the system's capacity and enhances the secrecy performance. In addition, for characterizing the secrecy performance of the proposed overlay CR-NOMA network, we present thoroughly the derivations of novel closed-form analytical expressions of the performance metrics such as SOP, SPSC and the ASR by taking into account both perfect SIC (pSIC) and imperfect SIC (ipSIC) scenarios. Based on the analytical frameworks, the numerical and simulation results are obtained under different network parameters. Towards this end, the outcomes of the simulation are shown to prove both the reliability of the mathematical analysis and the accuracy of the suggested technique.INDEX TERMS Non-orthogonal multiple access, physical layer security, overlay cognitive radio, secrecy rate, average secrecy rate, strictly positive secrecy rate.

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“…The integration of UAVs and massive MIMO technology in recent work can be mainly divided into three categories according to the function of UAV as: flying BS [9]- [11], flying UEs [12], [13], or flying relays [7], [14]. A substantial portion of the existing research on UAV-assisted massive MIMO predominantly explores the use of UAVs as either flying BSs or UEs, focusing on single-hop communications.…”

Section: A Related Workmentioning

confidence: 99%

DDPG-Based Optimization for Zero-Forcing Transmission in UAV-Relay Massive MIMO Networks

Le,

Nguyen-Duy-Nhat,

Nguyen

et al. 2024

IEEE Open J. Commun. Soc.

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This study explores the advantages of employing an unmanned aerial vehicle (UAV) in a massive multiple-input multiple-output (MIMO) network with zero-forcing processing at the base station (BS). Considering potential inaccuracies in channel estimation, we derive a closed-form expression for lower bounds on spectral efficiency in the massive MIMO system, utilizing the UAV as an aerial relay. Subsequently, we formulate a comprehensive optimization problem that encompasses UAV placement and user power allocation in the downlink network, aiming to maximize the data rate for terrestrial users. To address the optimization problem, we propose a novel deep learning-based algorithm that jointly optimizes UAV positioning and power allocation. Finally, we present numerical results that not only validate our theoretical framework and but also demonstrates the effectiveness of the proposed approach.INDEX TERMS DDPG, massive MIMO, spectral efficiency analysis, unmanned aerial vehicles, Wishart matrices, zero-forcing.

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Joint Altitude and Hybrid Beamspace Precoding Optimization for UAV-Enabled Multiuser mmWave MIMO System

Cited by 22 publications

References 50 publications

Reconfigurable-Intelligent-Surface-Assisted B5G/6G Wireless Communications: Challenges, Solution, and Future Opportunities

Reconfigurable-Intelligent-Surface-Assisted B5G/6G Wireless Communications: Challenges, Solution, and Future Opportunities

Investigations on Secrecy Performance of Downlink Overlay CR-NOMA System With SIC Imperfections

DDPG-Based Optimization for Zero-Forcing Transmission in UAV-Relay Massive MIMO Networks

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