Figure 3 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
A channelizer is used to separate users or channels in communication systems. A polyphase channelizer is a type of channelizer that uses polyphase filtering to filter, downsample, and downconvert simultaneously. With graphics processing unit (GPU) technology, we propose a novel GPU-based polyphase channelizer architecture that delivers high through...
Similar publications
In solution of several problems it is often necessary optimize functions fetching its minimum or maximum. When these objective functions are continuous, differentiable, without the existence of a large amount of local maximums and local minimums (unimodal), unrestricted, the resolution of the problem is more common, where you can use the analytical...
Citations
... In 2011, Mark [1] from MIT designed a PFB system for VLBI digital acquisition system RDBE using NVIDIA Tesla C2050 GPU. From 2014 to 2016, Scott C. Kim et al. from the University of Maryland studied low-latency multi-rate resampler and wideband receiver [2][3][4] in GPU-based multi-carrier systems. The team optimized the implementation of PFB using GPU multi-level thread and storage structure. ...
... be introduced, thus allowing the circuit in different paths of the polyphase network to operate at lower frequency than the original sampling frequency. A practical implementation of a high-throughput low-latency polyphase channelizer can be found in [8,9]. Figure 12 shows an example of five input signals, namely S 1 , S 2 , S 3 , S 4 , and S 5 , and the channelizer will select signal interest by filtering out the other signals. ...
This chapter presents an overview of legacy, existing, and future advanced satellite systems for future wireless communications. The overview uses top-down approach, starting with a comparison between a typical commercial regular satellite system and a high-throughput satellite (HTS) system, following by a discussion on commonly used satellite network topologies. A discussion on the design of satellite payload architectures supporting both typical regular satellite and HTS with associated network topologies will be presented. Four satellite payload architectures will be discussed, including legacy analog bent-pipe satellite (ABPS); existing digital bent-pipe satellite (DBPS) and advanced digital bent-pipe satellite using digital channelizer and beamformer (AdDBPS-DCB); and future advanced regenerative on-board processing satellite (AR-OBPS) payload architectures. Additionally, various satellite system architectures using AdBP-DCBS and AR-OBPS payloads for the fifth-generation (5G) cellular phone applications will also be presented.
... But the complexity and latency are the limitations of the FBMC systems (Baltar et al., 2007) and for the with higher order overlap factors these bottlenecks will be glorified further. The recent advances in the processing using graphical processing unit (GPU) technology, high throughput with low latency FBMC systems are possible (Kim and Bhattacharyya, 2014;Loulou et al., 2017;Berg et al., 2017). All the future 5G mobile systems will be characterised by a large range of possible use cases, ranging from enhanced mobile broadband (eMBB) over enhanced machine type communications (eMTC) to ultra-reliable low latency communications (URLLC) (Nissel and Rupp, 2017). ...
... But the complexity and latency are the limitations of the FBMC systems (Baltar et al., 2007) and for the with higher order overlap factors these bottlenecks will be glorified further. The recent advances in the processing using graphical processing unit (GPU) technology, high throughput with low latency FBMC systems are possible (Kim and Bhattacharyya, 2014;Loulou et al., 2017;Berg et al., 2017). All the future 5G mobile systems will be characterised by a large range of possible use cases, ranging from enhanced mobile broadband (eMBB) over enhanced machine type communications (eMTC) to ultra-reliable low latency communications (URLLC) (Nissel and Rupp, 2017). ...
... That is why many researchers have been looking for alternatives. Kim et al group has presented several papers in this direction but they are still far from approaching the real time goal [17]- [18]. To explain the meaning of real time here let us present this example. ...
the continuous development of software defined radio peripheral devices and software tools enable a wide range of potential applications, selected to either augment or even replace commercial communication equipment. These devices and software can be used to implement a variety of communication standards and systems. This paper presented a novel prototype software defined radio system using GNURadio, Universal Software Radio Peripherals (USRP), and Compute Unified Device Array (CUDA) along with detailed explanation on the current limitations and future opportunities. The goal of this paper is to provide a fast and easy to build communication access point using cost-effective and commercial off-the-shelf components to be used after the catastrophic infrastructure failure following earthquakes and tornadoes. The polyphase channelizer part was implemented on two Graphic Processing Units (GPU) systems. The parallel implemented models give a speed up factor of more than 10 time faster the sequential ones.
... While FPGA-based approaches can provide the required processing performance, they lack the run-time flexibility of GPPbased approaches [5]. The authors in [1,2,8,14] show the possibility to perform a PFB channelizer with a GPU underlying processing unit. However, these solutions are (i) not implemented as GR modules, (ii) not provided as an open-source and (iii) not optimized with respect to throughput and latency for data transfer between system memory (RAM) and GPU memory. ...
The essential process to analyze signals from multicarrier communication systems is to isolate independent communication channels using a channelizer. To implement a channelizer in software-defined radio systems, the Polyphase Filterbank (PFB) is commonly used. For real-time applications, the PFB has to process the digitized signal faster or equal to its sampling rate. Depending on the underlying hardware, PFB can run on a CPU, a Graphical Processing Unit (GPU), or even a Field-Programmable Gate Arrays (FPGA). CPUs and GPUs are more reconfigurable and scalable platforms than FPGAs. In this paper, we optimize an existing implementation of a CPU-based channelizer and implement a novel GPU-based channelizer. Our proposed solutions deliver an overall improvement of 30% for the CPU optimization on Intel Core i7-4790 @ 3.60 GHz, and a 3.2-fold improvement for the GPU implementation on AMD R9 290, when compared to the original CPU-based implementation.
... For example, there has been research focused on the use of GPUs as a tool for PFBC. Some of this work has demonstrated an entire integer decimating PFBC system such as the work of Harrison et al [1], van der Veldt and Nieuwpoort [3]- [4], and Kim et al [5]- [6]. Other researchers have focused on DFT or FFT architecture such as the work of Goviandaraju et al [7], Mitra and Srinivasan [8], Ambuluri [9], and del Mundo et al [10]. ...
Polyphase filter bank channalizers are essential components in numerous communication systems involving signal separation and sample rate conversion. In this paper, a novel fully parallelized 64 channels polyphase channalizer has been implemented using general purposes graphic processing units (GPGPU). The implemented models have been compared with a corresponding serial implemented model. The comparison indicates that the parallel models provide a computation speed of 9–16 times faster than the serial one using Nvidia GeForce GT520M and Quadro 600 GPUs.
... While the design of a PFB channelizer is known (c.f. Figure 2.20), the challenging task is to implement it efficiently on a GPU and integrate it with a complete system. The authors in [6,7,57,109] show the possibility to perform a PFB channelizer with a GPU underlying processing unit, however: ...
Статья посвящена анализу принципов и свойств технологии цифровой спектрально-пространственной коммутации каналов бортовым оборудованием космических аппаратов − технологии гибкой полезной нагрузки (ГПН). Рассматриваются основные принципы реализации технологии на основе банков фильтров и с использованием механизма быстрого преобразования Фурье. Проведен анализ основных функциональных возможностей, предоставляемых пользователям средствами технологии ГПН.
A high-performance polyimide was prepared by the dipolymerization of 4,4'-diaminobenzanilide (DABA) and pyromellitic dianhydride (PMDA). Due to the introduction of rigid planar moieties and amide groups, the polyimide shows outstanding properties, such as high glass transition temperatures (435 °C), excellent thermal stability (Td5%, 542 °C, coefficient of thermal expansion, −3.2 ppm K⁻¹), and superior mechanical properties. Most importantly, the polyimide exhibits excellent barrier properties, with oxygen transmission rate (OTR) and water vapor transmission rate (WVTR) low to 7.9 cm³ (m² day)⁻¹ and 5.1 g (m² day)⁻¹, respectively. Wide angle X-ray diffractograms (WAXD), positron annihilation lifetime spectroscopy (PALS) and molecular dynamics simulations reveal that the excellent barrier properties are mainly attributed to the high crystallinity, high extent of in-plane crystalline orientation, and low free volume, which are resulted from the rigid planar structure and strong interchain hydrogen bonding. The high-barrier and thermally stable polyimide has an attractive potential application prospect in the fields of micro-electronics encapsulation and high grade packaging industry.
