WANG Gang, LIU Peizhen, YANG Zhao, XUE Rui. Joint College Admissions Game and Auction Theory for Data Offloading in Heterogeneous Networks[J]. Chinese Journal of Electronics, 2018, 27(1): 168-174. doi: 10.1049/cje.2017.09.001
Citation: WANG Gang, LIU Peizhen, YANG Zhao, XUE Rui. Joint College Admissions Game and Auction Theory for Data Offloading in Heterogeneous Networks[J]. Chinese Journal of Electronics, 2018, 27(1): 168-174. doi: 10.1049/cje.2017.09.001

Joint College Admissions Game and Auction Theory for Data Offloading in Heterogeneous Networks

doi: 10.1049/cje.2017.09.001
Funds:  This work is supported by the National Natural Science Foundation of China (No.61271194, No.91438207), and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No.61521091).
  • Received Date: 2017-02-07
  • Rev Recd Date: 2017-06-14
  • Publish Date: 2018-01-10
  • Mobile data offloading through third-party Femtocell access points (FAPs) is an emerging technology which is used to alleviate congestion in cellular network. We propose a distributed algorithm that combines college admissions game with auction theory to achieve the maximum social welfare of offloading and guarantee the Quality of service (QoS) of Mobile users (MUs). As the optimal problem is NP-hard, the college admissions game is developed to solve the sub-problem of matching between FAPs and MUs. The Second revenue sealed-bid auction with a reserve price (SRSARP) algorithm is developed to solve another sub-problem of matching between Wireless operators (WOs) and FAPs. The simulation results reveal that the distributed algorithm we proposed achieves the performance very close to that of the centralized method and significantly better than those of the random and Maxprice algorithms.
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