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MIMO-OFDM Implementation Using VLSI

2022· article· en· W4220812985 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.

Bibliographic record

Venue2022 International Conference on Computer Communication and Informatics (ICCCI) · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingComputer scienceCyclic prefixPrecodingTransmitterMIMOMIMO-OFDMElectronic engineeringMulti-user MIMOChannel (broadcasting)Computer hardwareTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The modulation technique which divides the available spectrum into sub-carriers is called OFDM. OFDM when compared with FDMA (Frequency-Division Multiple Access), OFDM uses the spectrum effectively by channel spacing, in this channel signals are spaced closely together and makes the carriers perpendicular to each other, it prevents the interference between a close-spaced carrier channel. OFDM is specifically used for its robustness in channel fading in the wireless communication. In order to make the system flexible, reconfigurable architecture is used as a pre-requisite. The most efficient reconfigurable and reusable architecture is FPGA. OFDM technique is used, for achieving maximum data rate, with help of MIMO systems. Interference between user to user can be observed by every user in MIMO, due to transmission of data over a common channel. To reduce the inter-user-interference, zero-force precoding technique is used at the transmitter. Here, the information is coded and is transmitted over the channels (MIMO), then the information which is received at the receiver has comparatively low Bit Error Rate (BER). The main aim of this project is, to design and implement a base band (BB)OFDM transmitter and receiver on a FPGA hardware. It involves QPSK mapping module, scrambler, encoder, inter-leaver and cyclic prefix insertion modules. This design uses a 64-point FFT or IFFT as one of its main modules. In addition to OFDM, we are using a zero-force-pre-coding technique in this system which will be simulated using Xilinx 14.5 software and verified by using MATLAB 7.1.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.316
Teacher spread0.271 · 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