Optimal Interference Management, Power Control and Routing in Multihop D2D Cellular Systems
Bibliographic record
Abstract
This paper considers a cellular system with multihop device-to-device (D2D) communications to extend the coverage of a cell, for user equipments (UEs) experiencing service outage. The D2D system is an inband underlay system. The aim is to satisfy the signal-to-noise-ratio (SNR) requirements on the downlink connections on every pre-allocated resource block, signal-to-interference-plus-noise-ratio (SINR) requirements for every D2D sidelink connection on each of their pre-allocated resource blocks, and a maximum allowable interference at the base station receiver on all uplink frame resource blocks. It is desired to perform joint power control and routing to minimize the expended D2D UE energy in the system while meeting these requirements. An optimization problem is formulated that turns out to be a mixed integer non-linear program. For that, we use a generalized Bender's decomposition approach, which breaks down the problem formulation into a master sub-problem, an auxiliary sub-problem and a feasibility sub-problem. In this paper, we focus on developing an efficient solution method for the relaxed version of the master sub-problem that is responsible for generating lower bounds on the optimal objective function value. A benchmark sub-optimal disjoint scheme for the same problem is also proposed, which performs routing and power control separately. Simulations are conducted to compare the performance of both schemes and results show that the joint scheme is superior when compared with the disjoint scheme in terms of the expended UE energy, the expended base station power and success in satisfying the SINR, SNR, and interference bound requirements.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".