OFDM with Index Modulation for UAV Communication Systems

Wang, Quan; Yang, Wendong; Xu, Shen; Pei, Xufang

doi:10.1109/iccc47050.2019.9064201

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…In [42], a UAV-aided communication system that combines orthogonal frequency division multiplexing (OFDM) with IM is established to achieve a trade-off between SE and bit error rate (BER) performance. In this work, the authors combine the UAV with OFDM-IM without utilizing the benefits of using UAVs in an IM scenario.…”

Section: Index Modulation For Uavmentioning

confidence: 99%

“…In addition, a space shift keying modulation based UAV communication system was proposed in [45] to achieve reliable and EE communication links. Similar to [42], the authors analyzed two scenarios: UAV to ground BS and UAV to UAV communications, where the UAVs are all working as independent BSs. Recently, the works of [46] investigated the grant-free non-coherent IM scheme combined with OFDM for applicant to UAV-based massive Internet-of-things (IoT) access.…”

Section: Index Modulation For Uavmentioning

confidence: 99%

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Deployment of Energy-Efficient Aerial Communication Platforms With Low-Complexity Detection

Zhang

Xiong

et al. 2023

IEEE Trans. Veh. Technol.

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Due to their flexibility, mobility and autonomy, unmanned aerial vehicles (UAVs) are considered as a potential candidate to operate as flying base stations to provide a specific geographical area with air-to-ground wireless communications services. Besides, the limitation of the on-board energy motivates the design of a more energy-efficient way to transmit information. Moreover, the deployment of multiple UAVs can affect the quality of experience (QoE) of users. In this paper, we propose a method that combines the concept of index modulation (IM) with the UAV communications systems, which we refer to as IM-UAV, to attain an improved energy-efficiency (EE). Furthermore, based on the proposed IM-UAV communication system, a gradient descent based UAV deployment scheme is designed to maximize the downlink average rate of the ground users (GUs) in the target area. On the other hand, the maximum likelihood (ML) detection for the IM-UAV requires a high computational complexity for detection at the GUs, while providing the best possible performance. Hence, we propose a low-complexity detection scheme that can separately detect the index symbols and data symbols to reduce the computational complexity at the receiver side. The simulation results demonstrate that the proposed deployment method is capable of attaining the appropriate positions to deploy the UAVs, while the EE is also improved by combining IM with UAV communication system. In addition, the proposed lowcomplexity detection scheme reduces the computation complexity by slightly sacrificing the bit error rate (BER) performance.

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Section: Index Modulation For Uavmentioning

confidence: 99%

Section: Index Modulation For Uavmentioning

confidence: 99%

Deployment of Energy-Efficient Aerial Communication Platforms With Low-Complexity Detection

Zhang

Xiong

et al. 2023

IEEE Trans. Veh. Technol.

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show abstract

“…Furthermore, a practical algorithm is proposed to reduce the complexity. In [14], a orthogonal frequency division multiplexing (OFDM) combined index modulation signaling scheme is incorporated with UAV communication systems and results in higher spectral efficiency, higher energy efficiency, and lower BER. Generally, the OFDM system is associated with drawbacks related to issues such as high peak-to-average power ratios (PAPR), bandwidth loss associated with the cyclic prefix (CP), and high outof-band (OOB) emissions.…”

Section: Introductionmentioning

confidence: 99%

Gyre Precoding and T-Transformation-Based GFDM System for UAV-Aided mMTC Network

et al. 2021

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In this paper, an unmanned aerial vehicle (UAV)-aided multi-antenna configured downlink mmWave cooperative generalized frequency division multiplexing (GFDM) system is proposed. To provide physical layer security (PLS), a 3D controlled Lorenz mapping system is introduced. Furthermore, the combination of T-transformation spreading codes, walsh Hadamard transform, and discrete Fourier transform (DFT) techniques are integrated with a novel linear multi-user multiple-input multiple-output (MU-MIMO) gyre precoding (GP) for multi-user interference reduction. Furthermore, concatenated channel-coding with multi-user beamforming weighting-aided maximum-likelihood and zero forcing (ZF) signal detection schemes for an improved bit error rate (BER) are also used. The system is then simulated with a single base station (BS), eight massive machine-type communications (mMTC) users, and two UAV relay stations (RSs). Numerical results reveal the robustness of the proposed system in terms of PLS and an achievable ergodic rate with signal-to-interference-plus-noise ratio (SINR) under the implementation of T-transformation scheme. By incorporating the 3D mobility model, brownian perturbations of the UAVs are also analyzed. An out-of-band (OOB) reduction of 320 dB with an improved BER of 1×10−4 in 16-QAM for a signal-to-noise ratio, Eb/N0, of 20 dB is achieved.

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Design and Implementation of Physical Layer Synchronization Technology in Flying Ad-Hoc Network

Wang,

Guo,

Gao

et al. 2023

2023 6th International Conference on Information Communication and Signal Processing (ICICSP)

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OFDM with Index Modulation for UAV Communication Systems

Cited by 7 publications

References 11 publications

Deployment of Energy-Efficient Aerial Communication Platforms With Low-Complexity Detection

Deployment of Energy-Efficient Aerial Communication Platforms With Low-Complexity Detection

Gyre Precoding and T-Transformation-Based GFDM System for UAV-Aided mMTC Network

Design and Implementation of Physical Layer Synchronization Technology in Flying Ad-Hoc Network

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