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IEEE International Conference on Communications (IEEE ICC)

作者： Zhao, Bai Lin, Min Xiao, Shengjie Cheng, Ming Wang, Jun-Bo Cheng, Julian Nanjing Univ Posts & Telecommun Coll Commun & Informat Engn Nanjing Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing Peoples R China Univ British Columbia Sch Engn Kelowna BC Canada

ISBN: (纸本)9781538674628

This paper proposes a downlink transmission scheme for intelligent reflecting surface (IRS) enhanced cognitive-satellite-aerial-network to support massive access of Internet-of-Things devices (IoTDs). By sharing the same frequency band with satellite network, the aerial network offers services for IoTDs having line-of-sight links through space division multiple access, and for IoTDs locating in blocked area via IRS-enhanced non-orthogonal multiple access. Assuming that only the imperfect channel state information is available, we formulate a transmit power minimization problem subject to the probabilistic constraints of the quality-of-service requirements for IoTDs, the co-channel interference power limitation, and unit-modulus requirement for IRS. To tackle this mathematically intractable problem, we propose a generalized zero-forcing based low-complexity robust transmission algorithm, integrating the second-order Taylor expansion and Bernstein-type inequality, to obtain a satisfactory performance while reducing the computational load. Finally, simulation results validate the effectiveness and superiority of the proposed robust algorithms compared to existing algorithms.

关键词： Cognitive-satellite-aerial-network Intelligent reflecting surface Non-orthogonal multiple access Robust beamforming low complexity algorithm

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Improving image encoding quality with a low-complexity DCT approximation using 14 additions

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JOURNAL OF REAL-TIME IMAGE PROCESSING 2023年第3期20卷 58页

作者： Mefoued, Abdelkader Kouadria, Nasreddine Harize, Saliha Doghmane, Noureddine Badji Mokhtar Annaba Univ Fac Technol Elect Dept Lab Automat & Signals Annaba LASA Annaba 23000 Angola

The quality of images is crucial in image and video compression, especially for resource-constrained systems that prioritize simplicity. To achieve fast and low-energy compression, such systems aim to strike a balance between image quality and computational complexity. While various Discrete Cosine Transform (DCT) approximations have been proposed, only two approximations with 14 additions are currently available. This paper presents a novel 8-point DCT approximation that improves image quality compared to the previous 14-addition transformations. Additionally, a pruned version is derived and shown to be efficient. The proposed approximation achieves an average quality gain of up to 1 dB while maintaining a similar computational structure to the previous transformations, resulting in comparable energy consumption. Therefore, this solution provides a compelling option for resource-constrained systems seeking efficient image compression while preserving high image quality.

关键词： DCT approximation low complexity algorithm low power consumption Image compression

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Integrated sensing and communication waveform design in the Internet of Vehicles

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VEHICULAR COMMUNICATIONS 2023年 44卷

作者： Li, Zhuo Ma, Zhonggui Liang, Yanpeng Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China

We design an integrated sensing and communication (ISAC) transmission waveform with total transmis-sion power, waveform similarity, and peak-to-average power ratio (PAPR) constraints in the Internet of Vehicles (IoV). The integrated waveform can complete radar target detection while communicating with downlink cellular users. The design of IoV with ISAC can not only improve the spectrum efficiency, but also further promote the integration of communication and sensing equipment. In this paper, the IoV with ISAC is formally modeled from the communication view and sensing view respectively. On this basis, taking the joint optimization of multi-user interference (MUI) total energy and Cramer Rao Bound (CRB) as the objective function, the transmission waveforms are designed with total transmission power, wave-form similarity, and PAPR constraints respectively. To obtain the global optimal solution, we adopt a low complexity algorithm to solve the optimization problem under the total transmit power constraint and the optimization problem based on waveform similarity and PAPR constraints is further transformed into a nonconvex quadratically constrained quadratic programming (QCQP) problem, which is solved by using the semidefinite relaxation (SDR) technique. By ranking one approximation of the constrained optimiza-tion problem, it can be transformed into the solution of semidefinite programming (SDP) problems. The numerical results show that the designed ISAC transmission waveform can achieve an efficient tradeoff between sensing and communication performance, and each KPI is superior to one of the only com-munication and only sensing waveform design schemes. And it can improve the real-time information interaction ability of the IoV. (c) 2023 Published by Elsevier Inc.

关键词： Internet of Vehicles Integrated sensing and communication low complexity algorithm Nonconvex quadratic constrained quadratic programming

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Analytical method for optimum non-negative integer bit allocation

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IET SIGNAL PROCESSING 2016年第8期10卷 936-946页

作者： Hatam, Mahdi Masnadi-Shirazi, Mohammad Ali Firouzabad Inst Higher Educ Dept Elect Engn Firouzabad Iran Shiraz Univ Sch Elect & Comp Engn Dept Commun & Elect Shiraz Iran

The optimum bit allocation (OBA) problem was first investigated by Huang and Schultheiss in 1963. They solved the problem allowing the bits to be signed real numbers. Later, different algorithms were proposed for OBA problem when the bits were constrained to be integer and non-negative. In 2006, Farber and Zeger proposed new algorithms for solving optimum integer bit allocation (OIBA) and optimum non-negative integer bit allocation (ONIBA). None of the existing algorithms for OIBA and ONIBA problems end with an analytical solution. In this study, a new analytical solution is proposed for OIBA and ONIBA problems based on a novel analytical optimisation approach. At first, a closed form solution is derived for Lagrange unconstraint problem. Then, by removing the Lagrange multiplier, an analytical solution is obtained for OIBA and ONIBA problems. Using the selection and bisection algorithms, a low complexity algorithm is proposed for searching in a group of discrete functions which can reduce the computational complexity of the analytical solution. The complexity of computing the analytical solution is O(k) which is much lower than the complexity of existing ONIBA algorithms.

关键词： video coding data compression computational complexity optimisation optimum nonnegative integer bit allocation problem ONIBA problem OIBA problem OBA problem optimum bit allocation problem optimum integer bit allocation problem analytical optimisation approach Lagrange unconstraint problem Lagrange multiplier removal selection and bisection algorithm low complexity algorithm discrete function computational complexity reduction video frame compression

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Hybrid Precoding for Physical Layer Multicasting

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IEEE COMMUNICATIONS LETTERS 2016年第2期20卷 228-231页

作者： Dai, Mingbo Clerckx, Bruno Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2AZ England Korea Univ Sch Elect Engn Seoul South Korea

This work investigates the problem of downlink transmit precoding for physical layer multicasting with a limited number of radio-frequency (RF) chains. To tackle the RF hardware constraint, we consider a hybrid precoder that is partitioned into a high-dimensional RF precoder and a low-dimensional baseband precoder. Considering a total transmit power constraint over the RF chains, the goal is to maximize the minimum (maxmin) received signal-to-noise ratio (SNR) among all users. We propose a low complexity algorithm to compute the RF precoder that achieves near-optimal max-min performance. Moreover, we derive a simple condition under which the hybrid precoding driven by a limited number of RF chains incurs no loss of optimality with respect to the fully digital precoding case. Finally, numerical results validate the effectiveness of the proposed algorithm and theoretical findings.

关键词： Multicasting limited RF chains hybrid precoding low complexity algorithm

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A low complexity algorithm to Identify Open and Closed Surfaces in Complex Geometries

A Low Complexity Algorithm to Identify Open and Closed Surfa...

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2010 IEEE International Symposium Antennas and Propagation/CNC-USNC/URSI Radio Science Meeting

作者： Vipiana, F. Vecchi, G. Ist Super Mario Boella ISMB Antenna & EMC Lab LACE Via Pier Carlo Boggio 61 I-10138 Turin Italy Politecn Torino Antenna & EMC Lab LACE I-10129 Turin Italy

ISBN: (纸本)9781424449682

We have proposed an algorithm able to identify open and closed parts of a generic geometry. This information is essential to apply different integral equation formulations to different parts of the structure: the EFIE to open parts and the CFIE to the closed ones. The application of the CFIE is necessary to avoid internal resonances of the structure, but this formulation can not be applied simply to the whole structure if open parts are present. The computational complexity of the proposed Open-Closed Grouping algorithm is Nlog(N), and the simulation time and required memory are very low.

关键词： closed surface combined field integral equation complex geometry computational complexity computational complexity computational electromagnetics computational geometry electric field integral equation generic geometry integral equations internal resonance low complexity algorithm open surface open-closed grouping algorithm

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A low-complexity ECG Feature Extraction algorithm for Mobile Healthcare Applications

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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2013年第2期17卷 459-469页

作者： Mazomenos, Evangelos B. Biswas, Dwaipayan Acharyya, Amit Chen, Taihai Maharatna, Koushik Rosengarten, James Morgan, John Curzen, Nick Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England Indian Inst Technol Hyderabad Dept Elect Engn Hyderabad 502205 Andhra Pradesh India Southampton Univ Hosp NHS Trust Southampton SO16 6YD Hants England Univ Southampton Southampton SO17 1BJ Hants England

This paper introduces a low-complexity algorithm for the extraction of the fiducial points from the electrocardiogram (ECG). The application area we consider is that of remote cardiovascular monitoring, where continuous sensing and processing takes place in low-power, computationally constrained devices, thus the power consumption and complexity of the processing algorithms should remain at a minimum level. Under this context, we choose to employ the discrete wavelet transform (DWT) with the Haar function being the mother wavelet, as our principal analysis method. From the modulus-maxima analysis on the DWT coefficients, an approximation of the ECG fiducial points is extracted. These initial findings are complimented with a refinement stage, based on the time-domain morphological properties of the ECG, which alleviates the decreased temporal resolution of the DWT. The resulting algorithm is a hybrid scheme of time-and frequency-domain signal processing. Feature extraction results from 27 ECG signals from QTDB were tested against manual annotations and used to compare our approach against the state-of-the art ECG delineators. In addition, 450 signals from the 15-lead PTBDB are used to evaluate the obtained performance against the CSE tolerance limits. Our findings indicate that all but one CSE limits are satisfied. This level of performance combined with a complexity analysis, where the upper bound of the proposed algorithm, in terms of arithmetic operations, is calculated as 2.423N + 214 additions and 1.093N + 12 multiplications for N <= 861 or 2.553N + 102 additions and 1.093N + 10 multiplications for N > 861 (N being the number of input samples), reveals that the proposed method achieves an ideal tradeoff between computational complexity and performance, a key requirement in remote cardiovascular disease monitoring systems.

关键词： Discrete wavelet transform (DWT) electrocardiogram (ECG) feature extraction low complexity algorithm mobile healthcare

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Hybrid radio resource allocation and interference coordination for type 1a-relayed long term evolution uplink

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IET COMMUNICATIONS 2014年第11期8卷 1928-1937页

作者： Ahmed, Irfan Mohamed, Amr Taif Univ Coll Comp & Informat Technol At Taif 21974 Saudi Arabia Qatar Univ Coll Comp Sci & Engn Doha 2173 Qatar

Relay technology has been included in long term evolution (LTE) cellular system through 3GPP Release 10. Relay-based LTE cellular system is one of the most promising technologies to enhance the throughput and coverage of access network. Deployment of relays in a cell opens many issues of frequency/time domain radio resource allocation and frequency planning. In this study, the authors consider the uplink of LTE relay-assisted network and formulate the joint scheduling and intra-cell interference mitigation as a non-linear optimisation problem. They take into account the projection of the gradient of user's utility function over the user's rate vector based on Lagrangian method. They propose a novel transformation of scheduling problem into combinatorial Knapsack optimisation to convert the optimisation problem into binary integer non-linear program. Finally, they present an alternate solution through a low complexity algorithm to allocate resources based on group of resource blocks, whereas considering the contiguity constraint. Simulation results show that the proposed scheme is near optimal with a much lower complexity order.

关键词： resource allocation interference suppression relay networks (telecommunication) Long Term Evolution cellular radio 3G mobile communication radio access networks frequency-domain analysis time-domain analysis nonlinear programming integer programming vectors hybrid radio resource allocation interference coordination 1a-relayed long term evaluation uplink LTE cellular system 3GPP Release 10 access network frequency planning frequency domain time domain relay-assisted network intracell interference mitigation user utility function user rate vector Lagrangian method scheduling problem combinatorial Knapsack optimisation binary integer nonlinear program low complexity algorithm resource blocks contiguity constraint

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Fast structural similarity index algorithm

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JOURNAL OF REAL-TIME IMAGE PROCESSING 2011年第4期6卷 281-287页

作者： Chen, Ming-Jun Bovik, Alan C. Univ Texas Austin LIVE Austin TX 78712 USA

The development of real-time image and video quality assessment algorithms is an important direction on which little research has focused. Towards this end, we present a design of real-time implementable full-reference image/video quality algorithms that are based on the Structural SIMilarity (SSIM) index and multi-scale SSIM (MS-SSIM) index. The proposed algorithms, which modify SSIM/MS-SSIM to achieve speed of execution, were tested on the LIVE Image Quality Database and LIVE Video Quality Database. The experimental results show that the performance of the new, fast algorithms is commensurate with that of SSIM and MS-SSIM, but with much lower computational complexity. Indeed, the proposed Fast MS-SSIM algorithm is 10 times faster (lower complexity) than the MS-SSIM algorithm, while the proposed Fast SSIM is 2.68 times faster than SSIM without parallel computing optimization.

关键词： Real time Video quality assessment SSIM Image quality assessment low complexity algorithm

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Efficient User Selection for Downlink Zero-Forcing based Multiuser MIMO Systems

Efficient User Selection for Downlink Zero-Forcing based Mul...

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IEEE 74th Vehicular Technology Conference (VTC)

作者： Zhang, Yalin Golkar, Bijan Sousa, Elvino S. Zhang, Qinyu Harbin Inst Technol Shenzhen Grad Sch Elect & Informat Engn Dept Harbin 518055 Guangdong Peoples R China Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada

ISBN: (纸本)9781424483273

In a downlink multiuser multiple-input and multiple-output (MU-MIMO) system, a base station (BS) communicates with multiple mobile stations (MS) simultaneously in a given spectrum band. The performance of a MU-MIMO system depends on the choice of user selection, power allocation and precoding schemes. In this paper, we study user selection in Zero-Forcing (ZF) precoding based MU-MIMO systems to maximize the sum rate for high data rate applications. We derive analytical results for simultaneous transmission to two MSs with ZF precoding, based on which we propose an extended low-complexity algorithm that jointly considers the noise power, the channel gain of the candidate MSs and orthogonality with respect to the selected MSs' channels. Analysis shows that the proposed scheme requires much lower complexity than current schemes. Simulation results demonstrate that the proposed algorithm outperforms existing algorithms in terms of higher throughput.

关键词： algorithm design and analysis complexity theory MIMO MIMO communication Resource management Transmitting antennas Vectors base station channel gain downlink zero forcing high data rate applications low complexity algorithm mobile radio multiple mobile sta

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