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Record W4403410441 · doi:10.23977/cpcs.2024.080110

5G Wireless Communication Technology Concepts and Related Applications

2024· article· en· W4403410441 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueComputing Performance and Communication systems · 2024
Typearticle
Languageen
FieldEngineering
TopicTelecommunications and Broadcasting Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWirelessComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

With the rapid advancement of information technology, 5G wireless communication technology, as the fifth generation of mobile communication, is profoundly transforming the development landscape of various industries due to its significant advantages in high speed, low latency, and massive connectivity. This paper systematically elucidates the fundamental concepts, core technological elements of 5G wireless communication technology, and its applications across multiple fields. Firstly, it reviews the development history of 5G and compares it with previous generations of communication technologies (such as 4G), highlighting its technological advantages and innovations. Subsequently, it delves into the core technologies of 5G, including Massive MIMO (Massive Multiple Input Multiple Output), mmWave (millimeter Wave) communication, Network Slicing, and Edge Computing, exploring the pivotal roles these technologies play in enhancing network performance. The paper then focuses on the applications of 5G in Enhanced Mobile Broadband (eMBB), Massive Machine-Type Communications (mMTC), and Ultra-Reliable Low-Latency Communications (URLLC), covering typical cases in smart manufacturing, healthcare, smart cities, and autonomous driving, thereby demonstrating the immense potential and transformative impact of 5G technology in practical applications. Furthermore, it discusses the main challenges faced during the deployment of 5G technology, such as spectrum resources and coverage, infrastructure construction costs, and security and privacy protection, and proposes corresponding solutions and recommendations. Finally, the paper looks ahead to the future development trends of 5G technology, exploring its integration with artificial intelligence, evolution towards 6G technology, and the direction of green communications. Through a comprehensive analysis of 5G wireless communication technology, this paper provides theoretical support and practical references for related research and applications, holding significant academic value and practical significance.

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: Empirical
Teacher disagreement score0.927
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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