A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading

Authors: Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu2294-2301

AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We aim to design a prior-free mechanism which guarantees a profit competitive to the omniscient single-price auction... We propose a mechanism which is proved to be truthful, individually rational and constant-factor competitive in a fixed market. Theorem 9. PROFITEXTRACTr,R is truthful. Theorem 10. PROFITEXTRACTr,R is individually rational. Theorem 13. PROFIT-PAr is 8α/(α − 1)-competitive to OPT s r.
Researcher Affiliation Academia Jun Wu,1 Yu Qiao,2 Lei Zhang,2 Chongjun Wang,2 Meilin Liu3 1Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance & Economics, Nanjing 210003, China 2State Key Laboratory for Novel Software Technology at Nanjing University, Nanjing 210023, China 3Department of Computer Science and Engineering, Wright State University, Dayton, OH 45435, USA
Pseudocode Yes Mechanism PROFITEXTRACTr,R Input: n agents with bid (m, c) 1. Reorder the agents by increasing unit cost, break ties randomly and reorder m and c accordingly;... and Mechanism PROFIT-PAr Input: n agents with bid (m, c) 1. Partition the agents u.a.r. into two sets ΣA and ΣB with bids (m , c ) and (m , c ) respectively.
Open Source Code No The paper does not provide any explicit statements or links indicating that the source code for the described methodology is open-source or publicly available.
Open Datasets No The paper is theoretical and does not involve experimental evaluation on datasets, thus it does not mention public datasets or provide access information for them.
Dataset Splits No The paper focuses on theoretical mechanism design and does not describe experimental validation, hence it does not provide information about training/validation/test dataset splits.
Hardware Specification No The paper does not specify hardware used for experiments as it is a theoretical work focusing on mechanism design and proofs.
Software Dependencies No The paper, being theoretical, does not specify any software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe experimental setups, hyperparameters, or training configurations.