Cell Dimensioning and Network Throughput in Cellular Multi-Hop Relay Networks
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Bibliographic record
Abstract
In this paper we look at the network throughput and efficiency of a cellular system employing multi-hop relaying. It is shown that multi-hop relaying can provide great improvement in the area averaged spectral efficiency (measured in bits/second/Hz per unit area of coverage) of a system. However, the number of relays introduced and the dimensions of coverage areas of relays must be carefully chosen for the specific propagation environment and system parameters, otherwise poorer efficiency may result. Some example designs for the 5 GHz unlicensed band are given to illustrate some design considerations. Realistic simulated throughput, considering physical and medium access control layer overhead, of a HiperMAN or 802.16 system together with noise and interference calculations are used to determine potential real-world performance of such systems. Calculations for one to four relay hops are presented and designs' area averaged spectral efficiencies are compared.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it