Cell Selection Game for Densely-Deployed Sensor and Mobile Devices In 5G Networks Integrating Heterogeneous Cells and the Internet of Things

• Published in: Sensors (Basel, Switzerland) Vol. 15; no. 9; pp. 24230 - 24256
• Main Authors: Wang, Lusheng, Wang, Yamei, Ding, Zhizhong, Wang, Xiumin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.09.2015; MDPI
• Subjects: cell selection game; Collapse; Congestion; dense sensor networks; Devices; Forming; Games; heterogeneous cells; inter-cell interference; Internet; Internet of Things; Mobile communication systems; Sensors; heterogeneous cells; inter-cell interference; dense sensor networks; Internet of Things; cell selection game
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s150924230

With the rapid development of wireless networking technologies, the Internet of Things and heterogeneous cellular networks (HCNs) tend to be integrated to form a promising wireless network paradigm for 5G. Hyper-dense sensor and mobile devices will be deployed under the coverage of heterogeneous cells, so that each of them could freely select any available cell covering it and compete for resource with others selecting the same cell, forming a cell selection (CS) game between these devices. Since different types of cells usually share the same portion of the spectrum, devices selecting overlapped cells can experience severe inter-cell interference (ICI). In this article, we study the CS game among a large amount of densely-deployed sensor and mobile devices for their uplink transmissions in a two-tier HCN. ICI is embedded with the traditional congestion game (TCG), forming a congestion game with ICI (CGI) and a congestion game with capacity (CGC). For the three games above, we theoretically find the circular boundaries between the devices selecting the macrocell and those selecting the picocells, indicated by the pure strategy Nash equilibria (PSNE). Meanwhile, through a number of simulations with different picocell radii and different path loss exponents, the collapse of the PSNE impacted by severe ICI (i.e., a large number of picocell devices change their CS preferences to the macrocell) is profoundly revealed, and the collapse points are identified.