1,063 research outputs found
Distributed antenna systems in fractional-frequency-reuse-aided cellular networks
No full textDistributed antenna system (DAS)-aided unity frequency reuse (UFR) and fractional frequency reuse (FFR) transmission scenarios are investigated in this paper, employing the classic multiobjective of nondominated sorting genetic algorithm II (NSGA-II) for maximizing cell throughput and the coverage. More specifically, coordinated multipoint (CoMP) cooperation is invoked among the distributed antennas (DAs) and the base station (BS) in support of the mobile stations (MSs) roaming at the cell edge, while considering a range of practical impairments. We demonstrate that the received signal-to-interference ratio (SIR) of non-CoMP transmissions follows the lognormal distribution by taking into account both fast fading and large-scale shadowing and path-loss effects. Our simulation results demonstrate that DAS-aided cooperation is capable of achieving a fivefold increased throughput over that of the traditional arrangement. Explicitly, an average throughput per channel of 6.61 bits/symbol may be achieved
Effects of practical impairments on cooperative distributed antennas combined with fractional frequency reuse
No full textCooperative Multiple Point (CoMP) transmission aided Distributed Antenna Systems (DAS) are proposed for increasing the received Signal-to-Interference-plus-Noise-Ratio (SINR) in the cell-edge area of a cellular system employing Fractional Frequency Reuse (FFR) in the presence of realistic imperfect Channel State Information (CSI) as well as synchronisation errors between the transmitters and the receivers. Our simulation results demonstrate that the CoMP aided DAS scenario is capable of increasing the attainable SINR by up to 3dB in the presence of a wide range of realistic imperfections
Supplemental Material - Preparation and property of soluble hemostatic material with 3D knitted structure
No full textSupplemetary Material for Preparation and property of soluble hemostatic material with 3D knitted structure by Shiyao Zhang, Tingting Shi, Guangjun Wu, Qi Zhang and Pibo Ma in Journal of Industrial Textiles</p
Coalition Network Elements for Base Station Cooperation
No full textCoalition Network Elements (CNE) are proposed for Base Stations (BS) cooperation, where the CNEs carry traffic for the BS in support of its cell-edge MSs by exploiting the unused frequency bands of the BS network, while considering a range of practical impairments. We derive the coalition probability by taking into account both system loads of the primary network as well as the CNE’s greediness. Our simulation results demonstrate that the proposed solution is capable of substantially increasing the attainable SINR in a wide range of scenarios and it is also robust to diverse practical imperfections
Analysis and design of distributed antenna aided twin-layer femto-and macro-cell networks relying on fractional frequency-reuse
No full textDistributed Antenna Systems (DAS) and femtocells are capable of improving the attainable performance in the cell-edge area and in indoor residential areas, respectively. In order to achieve a high spectral efficiency, both the Distributed Antenna Elements (DAEs) and Femtocell Base Stations (FBSs) may have to reuse the spectrum of the macrocellular network. As a result, the performance of both outdoor macrocell users and indoor femtocell users suffers from Co-Channel Interference (CCI). Hence in this paper, heterogenous celluar networks are investigated, where the DAS-aided macrocels and femtocells co-exist within the same area
Remote coalition network elements for base station cooperation aided multicell processing
No full textRemote coalition network elements (CNEs) are proposed for base station (BS) cooperation, where the CNEs carry traffic in the second hop for the primary BS in support of its cell-edge mobile stations (MSs) by exploiting the unused frequency bands of the main BS network while considering a range of practical impairments. We derive the coalition probability of the CNEs by taking into account both the specific system load and the CNE’s greediness factor. Our simulation results demonstrate that the proposed solution is capable of substantially increasing the attainable signal-to-interference-plus-noise ratio (SINR) in a wide range of scenarios, and it is also robust to diverse practical imperfections. We demonstrate that the maximal sum profit of the main BS network and the CNE network is achieved at a greedy factor of 0.45 when the MSs are located in the range of r < 0.25R of the CNE, where R is the cell’s radius
Star identification: methods, techniques and algorithms
No full textThis book summarizes the research advances in star identification that the author’s team has made over the past 10 years, systematically introducing the principles of star identification, general methods, key techniques and practicable algorithms. It also offers examples of hardware implementation and performance evaluation for the star identification algorithms. Star identification is the key step for celestial navigation and greatly improves the performance of star sensors, and as such the book include the fundamentals of star sensors and celestial navigation, the processing of the star catalog and star images, star identification using modified triangle algorithms, star identification using star patterns and using neural networks, rapid star tracking using star matching between adjacent frames, as well as implementation hardware and using performance tests for star identification. It is not only valuable as a reference book for star sensor designers and researchers working in pattern recognition and other related research fields, but also as teaching resource for senior postgraduate and graduate students majoring in information processing, computer science, artificial intelligence, aeronautics and astronautics, automation and instrumentation. Dr. Guangjun Zhang is a professor at the School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China and also the Vice President of Beihang University, China
sj-docx-1-tag-10.1177_17562848231167277 – Supplemental material for Early predictive value of scoring systems and routine laboratory tests in severity and prognosis of acute pancreatitis in pregnancy
No full textSupplemental material, sj-docx-1-tag-10.1177_17562848231167277 for Early predictive value of scoring systems and routine laboratory tests in severity and prognosis of acute pancreatitis in pregnancy by Yu Wang, Guangbo Qu, Zhangbi Wu, Dongmei Tian, Wenbei Yang, Hongye Li, Yu Lu, GuangJun Meng and Hong Zhang in Therapeutic Advances in Gastroenterology</p
sj-pdf-1-tct-10.1177_15330338221143224 - Supplemental material for Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor
No full textSupplemental material, sj-pdf-1-tct-10.1177_15330338221143224 for Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor by Xiangyu Zhang, Xinyu Song, Guangjun Li, Lian Duan, Guangyu Wang, Guyu Dai, Ying Song, Jing Li and Sen Bai in Technology in Cancer Research & Treatment</p
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