Asynchronous simultaneous small packet transmission in cellular wireless system
Bibliographic record
Abstract
Existing cellular wireless systems operate with a predominantly network controlled, connection oriented frame based protocol architecture. A User Terminal (UT) is required to signal the network frequently to maintain its connectivity, and makes requests for uplink bandwidth to transmit packets. In such systems, for emerging applications, such as machine-to-machine (M2M), where small packets are transmitted sporadically, the bandwidth required for signaling is much more than the actual bandwidth to transmit the data. In this paper, we propose a novel connectionless uplink simultaneous access technique without the need of strict synchronization. UTs pick an uplink (UL) resource which is advertised by the network as a common radio resource for small packet transmissions, and transmit the data packets. The data packet includes a preamble sequence and network assigned identity. The transmitted packets from each UT may not be in perfect synchronization with the UL system timing. The base station (BS) uses a novel multi-user detection technique to separate these transmissions. Simulation results of the proposed method for an OFDM based system are shown be promising.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".