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Record W2946899908 · doi:10.1109/tcsii.2019.2909762

Fiber-Fed Distributed Antenna System in an FPGA Software Defined Radio for 5G Demonstration

2019· article· en· W2946899908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsSimon Fraser University
FundersUniversity of British Columbia
KeywordsSoftware-defined radioDistributed antenna systemRadio over fiberField-programmable gate arrayAntenna (radio)SoftwareComputer scienceFiberEmbedded systemMaterials scienceTelecommunicationsOptical fiberOperating systemComposite material

Abstract

fetched live from OpenAlex

The implementation of high-speed wireless networks, such as currently used fourth generation (4G) systems and future 5G systems, feature challenging processing. Field programmable gate arrays (FPGAs) can straddle research and development for these current and future networks since they provide scaling through reconfigurable logic, high parallelism, and low power consumption. This brief demonstrates an FPGA circuit implementation, with measurements, of a minimal system (a 5G element or “unit cell”): a single-user mobile with antenna diversity and a distributed antenna system (DAS) at the base station. The demonstration system has a bandwidth of 20 MHz, runs at 2.4 GHz, and has two antennas at both the transmitting base station and at the receiving mobile. The modulation is orthogonal frequency division multiplexing (OFDM) with space-time block coding (STBC). The FPGA is a Virtex-6, used for software defined radio (SDR), and this can readily be scaled to handle larger-dimensioned, higher-capacity systems. The receiver has time-offset synchronization, frequency-offset, and channel estimation. The high-level algorithm design (Xilinx System Generator) for these functions and the OFDM-STBC, and the resources consumed on the FPGA during real-time implementation, are included. We also compare the use of coax and fiber for linking the distributed antennas, using off-the-shelf components. The approach used here of combining simulations with physical measurement of a minimal system is a practical way forward for assessing candidate systems for 5G.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.216
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it