Готові списки джерел за темами / Flexible Baseband Processing

Добірка наукової літератури з теми "Flexible Baseband Processing"

Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Flexible Baseband Processing"

Wietfeldt, R., W. Van Straten, D. Del Rizzo, N. Bartel, W. Cannon, M. Bailes, J. Reynolds, and W. Wilson. "The S2 Baseband Processing System for Phase-coherent Pulsar Observations." International Astronomical Union Colloquium 160 (1996): 21–22. http://dx.doi.org/10.1017/s0252921100040926.

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AbstractThe phase-coherent recording of pulsar data and subsequent software dispersion removal provide a flexible way to reach the limits of high time resolution, useful for more precise pulse timing and the study of fast signal fluctuations within a pulse. Because of the huge data rate and lack of adequate recording and computing capabilities, this technique has been used mostly only for small pulsar data sets. In recent years, however, the development of very capable, reasonably inexpensive high-speed recording systems and computers has made feasible the notion of pulsar baseband recording and subsequent processing with a workstation/computer. In this paper we discuss the development of a phase-coherent baseband processing system for radio pulsar observations. This system is based on the S2 VLBI recorder developed at ISTS/York University in Toronto, Canada. We present preliminary first results for data from the Vela pulsar, obtained at Parkes, Australia, and processed at ISTS/York University, and discuss plans for future developments.

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Kist, Maicon, Juliano Araújo Wickboldt, Lisandro Zambenedetti Granville, Juergen Rochol, Luiz A. DaSilva, and Cristiano Bonato Both. "Flexible fine-grained baseband processing with network functions virtualization: Benefits and impacts." Computer Networks 151 (March 2019): 158–65. http://dx.doi.org/10.1016/j.comnet.2019.01.021.

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Gutiérrez, Jesús, Jesús Ibáñez, and Jesús Pérez. "MIMO OTA Testing Based on Transmit Signal Processing." International Journal of Antennas and Propagation 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/670154.

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Usually, multiple-input-multiple-output (MIMO) testbeds are combined with channel emulators for testing devices and algorithms under controlled channel conditions. In this work, we propose a simple methodology that allows over-the-air (OTA) MIMO testing using a MIMO testbed solely, avoiding the use of channel emulators. The MIMO channel is emulated by linearly combining the signals at the testbed transmitter. The method is fully flexible, so it is able to emulate any equivalent baseband narrowband MIMO channel by adequately selecting the weights of the linear combination. We derive closed-form expressions for the computation of such weights. To prove its feasibility, the method has been implemented and tested over a commercial MIMO testbed.

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Pei, Xin, Jian Li, Xuefeng Duan, and Hailong Zhang. "QTT Ultra-wideband Signal Acquisition and Baseband Data Recording System Design Based on the RFSoC Platform." Publications of the Astronomical Society of the Pacific 135, no. 1049 (July 1, 2023): 075003. http://dx.doi.org/10.1088/1538-3873/ace12d.

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Abstract The 110 m QiTai radio Telescope (QTT) will be equipped with multiple Ultra-WideBand (UWB) receivers in the primary and Gregory focus to achieve continuous frequency coverage from 270 MHz to 115 GHz, which poses great challenges to signal acquisition, transmission, and real-time processing. Aiming at 10 GHz and above full-bandwidth acquisition and multi-scientific processing for the QTT UWB signals, an experimental system with high-speed signal acquisition, 100 Gb network multi-path distribution, and fast recording is designed by using advanced direct RF-sampling technology and heterogeneous architecture. The system employs a ZCU111 board to digitize dual-polarization signals with a sampling rate of 4.096 GigaSamples-Per-Second and 12-bit quantization. The collected wideband signals are channelized into 2048 chunks, which are then assembled into 16 sets of digital narrow basebands with 128 MHz bandwidth and transmitted to the processing servers through two 100 Gb ports. A HASPIPE pipeline, UWB_HASHPIPE is designed to receive and store multiple subbands in parallel. Data distribution links can be flexibly configured based on IP addresses and port numbers. The system is verified by pulsar observation experiments on the Nanshan 26 m telescope. 512 MHz bandwidth is selected from the collected L-band receiver signals and recorded in VDIF file format with 8 parallel instances. The test results show that the data integrity is excellent, and the signal-to-noise ratio of the band-merged pulsar profile is stronger than single subband data. This paper provides a high-performance and flexible solution for the design of versatile UWB backends. Meanwhile, the developed platform can be integrated into QTT backends for baseband data collection and Very Long Baseline Interferometry observation.

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Lopes Ferreira, Mário, and João Canas Ferreira. "An FPGA-Oriented Baseband Modulator Architecture for 4G/5G Communication Scenarios." Electronics 8, no. 1 (December 20, 2018): 2. http://dx.doi.org/10.3390/electronics8010002.

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The next evolution in cellular communications will not only improve upon the performance of previous generations, but also represent an unparalleled expansion in the number of services and use cases. One of the foundations for this evolution is the design of highly flexible, versatile, and resource-/power-efficient hardware components. This paper proposes and evaluates an FPGA-oriented baseband processing architecture suitable for communication scenarios such as non-contiguous carrier aggregation, centralized Cloud Radio Access Network (C-RAN) processing, and 4G/5G waveform coexistence. Our system is upgradeable, resource-efficient, cost-effective, and provides support for three 5G waveform candidates. Exploring Dynamic Partial Reconfiguration (DPR), the proposed architecture expands the design space exploration beyond the available hardware resources on the Zynq xc7z020 through hardware virtualization. Additionally, Dynamic Frequency Scaling (DFS) allows for run-time adjustment of processing throughput and reduces power consumption up to 88%. The resource overhead for DPR and DFS is residual, and the reconfiguration latency is two orders of magnitude below the control plane latency requirements proposed for 5G communications.

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Bakulin, Mikhail G., Taoufik Ben Camille Ben Rejeb, Vitaly B. Kreyndelin, Denis Y. Pankratov, and Alexey E. Smirnov. "NOMA schemes with symbol level processing." T-Comm 16, no. 5 (2022): 4–14. http://dx.doi.org/10.36724/2072-8735-2022-16-5-4-14.

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Requirements for KPI in 6G networks are significantly higher than in 5G networks. Non-orthogonal multiple access (NOMA) technology has been proposed as a solution to meet the requirements of future communication networks. NOMA technology aims to improve the spectral efficiency of wireless communication systems and support the simultaneous operation of large number of subscribers (especially in mMTC scenarios) and provide flexible resource use. This article discusses the popular symbol-level processing NOMA schemes recently proposed as part of the 3GPP standardization, such as SCMA, PDMA, WSMA, MUSA, and other varieties of NOMA. The main advantages and principles of non-orthogonal access technology are illustrated using the NOMA system with division in power domain (PD-NOMA) for uplink and downlink. Characteristics of various symbol-level processing NOMA schemes, their advantages and disadvantages, as well as problems in the way of their implementation in future wireless networks are analyzed. In addition, this article discusses block diagrams of NOMA systems and mathematical models illustrating the formation of baseband signals in such systems. In conclusion, the noise immunity characteristics of the most popular NOMA schemes with symbol-level processing are given for various loading factors. From the analysis performed, it follows that no NOMA scheme has yet been proposed that is effective in various scenarios of future wireless communication systems and has an acceptable processing complexity in combination with flexible resource allocation for mass connection of subscriber devices.

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Asghar, Rizwan, and Dake Liu. "Multimode Flex-Interleaver Core for Baseband Processor Platform." Journal of Computer Systems, Networks, and Communications 2010 (2010): 1–16. http://dx.doi.org/10.1155/2010/793807.

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This paper presents a flexible interleaver architecture supporting multiple standards like WLAN, WiMAX, HSPA+, 3GPP-LTE, and DVB. Algorithmic level optimizations like 2D transformation and realization of recursive computation are applied, which appear to be the key to reach to an efficient hardware multiplexing among different interleaver implementations. The presented hardware enables the mapping of vital types of interleavers including multiple block interleavers and convolutional interleaver onto a single architecture. By exploiting the hardware reuse methodology the silicon cost is reduced, and it consumes 0.126 mm2area in total in 65 nm CMOS process for a fully reconfigurable architecture. It can operate at a frequency of 166 MHz, providing a maximum throughput up to 664 Mbps for a multistream system and 166 Mbps for single stream communication systems, respectively. One of the vital requirements for multimode operation is the fast switching between different standards, which is supported by this hardware with minimal cycle cost overheads. Maximum flexibility and fast switchability among multiple standards during run time makes the proposed architecture a right choice for the radio baseband processing platform.

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Ferreira, Mário Lopes, and João Canas Ferreira. "A Dynamically Reconfigurable Dual-Waveform Baseband Modulator for Flexible Wireless Communications." Journal of Signal Processing Systems 92, no. 4 (September 12, 2019): 409–24. http://dx.doi.org/10.1007/s11265-019-01472-7.

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Lu, Yiqin, Weiyue Su, and Jiancheng Qin. "LDPC Decoding on GPU for Mobile Device." Mobile Information Systems 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7048482.

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A flexible software LDPC decoder that exploits data parallelism for simultaneous multicode words decoding on the mobile device is proposed in this paper, supported by multithreading on OpenCL based graphics processing units. By dividing the check matrix into several parts to make full use of both the local memory and private memory on GPU and properly modify the code capacity each time, our implementation on a mobile phone shows throughputs above 100 Mbps and delay is less than 1.6 millisecond in decoding, which make high-speed communication like video calling possible. To realize efficient software LDPC decoding on the mobile device, the LDPC decoding feature on communication baseband chip should be replaced to save the cost and make it easier to upgrade decoder to be compatible with a variety of channel access schemes.

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Kim, Jungah, Yongho Lee, Shinil Chang, and Hyunchol Shin. "Low-Power CMOS Complex Bandpass Filter with Passband Flatness Tunability." Electronics 9, no. 3 (March 17, 2020): 494. http://dx.doi.org/10.3390/electronics9030494.

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We present a low-power CMOS active-resistance-capacitance (active-RC) complex bandpass filter (BPF) with tunable gain, bandwidth, center frequency, quality factor, and passband flatness for Bluetooth applications. A transfer function analysis for a cross-coupled Tow-Thomas biquad structure is presented to prove that the flatness profile of the passband gain can be effectively controlled by independently tuning two cross-coupling resistors. The proposed biquad-based complex BPF was employed to realize a fourth-order baseband analog processor for a low intermediate frequency (low-IF) RF receiver. The baseband analog processor was composed of two complex biquad filters and three first-order variable-gain amplifiers. It was fabricated in a 65-nm RF CMOS and achieved wide tuning capabilities, such as a gain of −15.6 to 50.6 dB, a bandwidth of 1.4–3.9 MHz, a center frequency of 1.5–4.1 MHz, and a passband flatness of −1 to 1 dB. It also achieved an image rejection ratio of 40.3–53.3 dB across the entire gain tuning range. It consumed 1.4 mA from a 1 V supply and occupied an area of 0.19 mm2 on the silicon substrate. The implementation results prove that the proposed complex BPF was able to effectively enhance the signal processing performances through the flexible and wide-range tunability of the passband flatness, as well as that of the gain, bandwidth, center frequency, and quality factor.

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Дисертації з теми "Flexible Baseband Processing"

Pradhan, Ashish Kumar. "Energy Efficient Flexible Baseband Processing for Mobile and Cognitive Radios." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/4278.

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Wireless communication has become an integral part of human life, and one of the dominating applications in today’s world. Mobile communication devices are the largest consumer electronic group in terms of volume. In 2007, there was an estimated 3.3 billion mobile telephone subscriptions. This number is roughly half of the world's population. Applications like web browsing, online-shopping, email, video streaming, video conferencing and mobile-banking have all become key applications for mobile devices. As the demand for such services increase day by day, there is a scarcity of available spectrum. In order to provide affordable connectivity, innovative methods are proposed and being adopted in the state-of-the-art standards, such as IEEE 802.22, IEEE P1900 etc, which specify cognitive usage of radio spectrum. In a cognitive radio paradigm, the notion of coexistence, and opportunistic use of radio resources are prescribed. In such case, if a primary user is inactive (not using it's radio resources for some time/code/frequency) a secondary user is allowed to use those radio resources, when the primary is active again, the secondary user releases those radio resources within a pre-determined time span. Hence, a Customer Premise Equipment, intended to support opportunistic use of radio spectrum, must possess, flexible PHY processing and swiftly change from on radio configuration to another well within the response time (to enable the whole protocol stack from radio resource management to PHY processing configurations). Traditional DSP based solution for flexible PHY processing is very expensive in terms of power, and processing latency. Application Specific Instruction Processors (ASIPs), on the other hand emerged as alternative to DSP for flexible processing of specific functional blocks (algorithms) for power and latency. However, both the DSPs and ASIPs require programming for realization of specific functionalities. Changing from one configuration to another configuration requires re-programming. Such re programming is not a sweet solution for frequent back and forth mode of operation as expected for cognitive radio devices primarily because of reconfiguration time, reprogramming cost and power. In this research work, we investigate alternative solutions for swift change and provide low-power, low-latency efficient multi-mode operation for major power hungry PHY processing DSP blocks/algorithms. Specifically, we propose dynamically reconfigurable multi-mode hardware modules (accelerators) for FFTs, IFFTs, QRD, Sphere Decoder, and Viterbi Decoder, for Various state of the art wireless standards. Major contribution of the thesis includes: - Dynamically reconfigurable variable length FFT/IFFT processor for OFDM and OFDMA applications. - Dynamically reconfigurable OP-reordering circuit for variable length FFT/IFFTs. - Energy Efficient, Dynamically reconfigurable QR decomposition architecture for Multi-mode (2x2 to 8x8 antenna) Wireless MIMO communications. - A Dynamically reconfigurable multi-core multi-mode (2x2 to 8x8 antenna, up to 64-QAM) Sphere Decoder for agile MIMO communication system. - A reconfigurable Viterbi decoder for SDR and Mobile Communications.

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Тези доповідей конференцій з теми "Flexible Baseband Processing"

Srivastava, Harshit, and Noor Mahammad Sk. "A novel flexible baseband processor architecture framework." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6777007.

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Ferreira, Mario Lopes, Amin Barahimi, and Joao Canas Ferreira. "Dynamically reconfigurable FFT processor for flexible OFDM baseband processing." In 2016 International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS). IEEE, 2016. http://dx.doi.org/10.1109/dtis.2016.7483874.

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Poon, Ada S. Y. "An Energy-Efficient Reconfigurable Baseband Processor for Flexible Radios." In 2006 IEEE Workshop on Signal Processing Systems Design and Implementation. IEEE, 2006. http://dx.doi.org/10.1109/sips.2006.352615.

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Saarnisaari, Harri. "URANUS: Flexible parameterized baseband transceiver architecture based on filter banks." In 2008 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP). IEEE, 2008. http://dx.doi.org/10.1109/isccsp.2008.4537258.

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Adiono, Trio, and Nana Sutisna. "Architecture design framework for flexible and configurable WiMAX OFDMA baseband transceiver." In 2013 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2013. http://dx.doi.org/10.1109/ispacs.2013.6704630.

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Shabanpour, R., C. Carta, K. Ishida, T. Meister, B. Kheradmand-Boroujeni, N. Munzenrieder, L. Petti, G. A. Salvatore, G. Troster, and F. Ellinger. "Baseband amplifiers in a-IGZO TFT technology for flexible audio systems." In 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2015. http://dx.doi.org/10.1109/ispacs.2015.7432796.

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Liu, Jingchu, Sheng Zhou, Jie Gong, Zhisheng Niu, and Shugong Xu. "Graph-based framework for flexible baseband function splitting and placement in C-RAN." In 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7248612.

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Boyapati, Hari Krishna, Hari Babu Nimmala, and Manoj Jain. "Design and development of flexible reconfigurable SPI interface between baseband and RF subsystems for wireless radio prototyping." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566587.

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