WLC04-5: Bandwidth Allocation in 4G Heterogeneous Wireless Access Networks: A Noncooperative Game Theoretical Approach
Why this work is in the frame
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Bibliographic record
Abstract
Fourth generation (4G) wireless networks will provide seamless high bandwidth connectivity with quality-of-service (QoS) support to mobile users where a mobile will be able to connect to several wireless access networks simultaneously. In such a scenario, bandwidth allocation to a mobile from different types of networks will depend on the traffic load characteristics in each access network. In this paper, we formulate the bandwidth allocation problem in a 4G heterogeneous wireless network as an oligopoly market competition. In an oligopoly market, a few firms provide service/product to the customers. Here, we model the firms as the different types of networks offering bandwidth to the connections in order to maximize the system utility. A Cournot game is used to model this market competition and Nash equilibrium is considered to provide a stable solution. We propose two algorithms, namely, iterative and search algorithms, to obtain the solution. Based on the proposed bandwidth allocation algorithm, we present an admission control mechanism to ensure that the QoS of new and ongoing connections are maintained at the target level.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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