Sparse Channel Estimation for MIMO-FBMC/OQAM Wireless Communications in Smart City Applications

Wang, Han

doi:10.1109/access.2018.2875245

Cited by 21 publications

(16 citation statements)

References 31 publications

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“…A tremendous development in information and communication technologies over last the two decades has given birth to the idea of the smart cities where the living population, government, economy, and environment will be sustainably interconnected to improve quality of life in the cities [318]. Few applications of a smart city include smart water networks, smart traffic networks, intelligent parking systems [319], [320], smart homes and buildings [321], [322], smart electricity management system, a smart waste management system [323], smart health and educational systems [322], smart libraries, and intelligent environment monitoring [324]. Wired and wireless communication can be adopted for the connectivity of different networks depending on the nature of the application within the scope of the smart city.…”

Section: K Smart City: Potentials and Challengesmentioning

confidence: 99%

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

et al. 2019

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The ever-growing demand for low power, high performance, cost-effective, low-profile, and highly integrated wireless systems for emerging applications has triggered the need for the enormous innovations in wireless transceiver systems, components, architectures and technologies. This is especially valid for the antenna which is an integral component of the wireless transceiver systems and contributes significantly in determining their overall performance. Antenna-on-Chip (AoC) is an alternative antenna technology, which has drawn a substantial attention in recent days because of its various benefits over off-chip antenna technology. A few of these benefits include miniaturization, low power, low cost, and high integration of the wireless modules. Motivated by these valuable advantages and to unveil the true potential of the AoCs, this article presents, for the first time, a comprehensive survey of the suitability, advantages, and challenges of the AoCs for the emerging wireless applications such as 5th generation (5G) Wireless Systems, Internet-of-Things (IoT) Wireless Devices and Systems, Wireless Sensor Networks (WSNs), Wireless Interconnects, Wireless Energy Transfer, Radio Frequency (RF) Energy Harvesting, Biomedical Implants, Unmanned Aerial Vehicles (UAVs), Autonomous vehicles, Innovative characterization methods for Integrated Circuits (ICs) and Antennas, and Smart City. In addition, this article presents the current stateof-the-art of the AoC's applications by classifying their applications in Millimeter-Wave (MM-Wave) band, Terahertz (THz) band, and low-frequency bands. The article also investigates and describes some useful methods for the mitigation of the challenges and issues posed by the emerging applications for the realization of the AoCs in a systematic manner. A concise description of the future directions of the AoCs with respect to each emerging application is also a part of this article. It is expected that this well-structured and organized survey will not only act as an excellent source of scholarship for the relevant research community, but also open up a world of novel research opportunities.

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Section: K Smart City: Potentials and Challengesmentioning

confidence: 99%

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

et al. 2019

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“…where BI PN n is the BI of the first PN sequence and BI PN n = 0 for L < n. By considering the last Q -L equations of (11) and (12) which are free of BI, a (Q − L) × 1 vector of the scaled difference of (11) and (12) is obtained where each element is expressed as…”

Section: Mimo-linearising Schemementioning

confidence: 99%

“…Since the number of columns of φ is larger than its rows, (14) cannot be solved linearly; however, considering a sparse tapped delay line channel model, a would be a sparse vector. As a result, a CS method can be applied for solving (12).…”

Section: Mimo-linearising Schemementioning

confidence: 99%

“…There are several papers that proposed CS-based MIMO-OFDM CE methods [5]. Some of these papers study zero Doppler shift conditions and therefore, they proposed CE for frequency selective channels [6][7][8][9][10][11][12][13][14][15][16][17]. The previous CS-based CE methods for doubly selective (DS) channels, time and frequency selective, in MIMO-OFDM systems utilise scattered pilots in the frequency domain and can be categorised into three major groups.…”

Section: Introductionmentioning

confidence: 99%

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MIMO–OFDM communication systems for traffic data transmission in 5G drone small cells

Vahidi

Saberinia

2019

IET Communications

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“…Caus et al [9] presented the MIMO precoding and decoding matrices using an OQAM/FBMC system with a multi-stream transmission strategy in high coherence bandwidth MIMO channels. Wang [10] adopted a sparse channel estimation method to realize accurate reconstruction of the channel information by adaptively selecting the support set, leading to a decrease in the intrinsic interference in a MIMO-FBMC/OQAM system. Higher spectral efficiency gains can be achieved using MIMO-FBMC/OQAM in comparison with those achieved using FBMC/OQAM [11].…”

Section: Introductionmentioning

confidence: 99%

Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals

Lin

Chang

et al. 2019

Applied Sciences

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In this paper, a direct-mapping (DM)-based multi-input multi-output (MIMO) filter bank multi-carrier (FBMC) underwater acoustic multimedia communication architecture (UAMCA) is proposed. The proposed DM-based MIMO-FBMC UAMCA is rare and non-obvious in the underwater multimedia communication research topic. The following are integrated into the proposed UAMCA: A 2 × 2 DM transmission mechanism, a (2000, 1000) low-density parity-check code encoder, a power assignment mechanism, an object-composition petrinet mechanism, adaptive binary phase shift keying modulation and 4-offset quadrature amplitude modulation methods. The multimedia signals include voice, image, and data. The DM transmission mechanism in different spatial hardware devices transmits different multimedia packets. The proposed underwater multimedia transmission power allocation algorithm (UMTPAA) is simple, fast, and easy to implement, and the threshold transmission bit error rates (BERs) and real-time requirements for voice, image, and data signals can be achieved using the proposed UMTPAA. The BERs of the multimedia signals, data symbol error rates of the data signals, power saving ratios of the voice, image and data signals, mean square errors of the voice signals, and peak signal-to-noise ratios of the image signals, for the proposed UAMCA with a perfect channel estimation, and channel estimation errors of 5%, 10%, and 20%, respectively, were explored and demonstrated. Simulation results demonstrate that the proposed 2 × 2 DM-based MIMO-FBMC UAMCA is suitable for low power and high speed underwater multimedia sensor networks.

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Sparse Channel Estimation for MIMO-FBMC/OQAM Wireless Communications in Smart City Applications

Cited by 21 publications

References 31 publications

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

MIMO–OFDM communication systems for traffic data transmission in 5G drone small cells

Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals

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