A Novel Behavioral Social-Aware D2D User Association Scheme based on Self-Propelled Voronoi. Banerjee, S., Hempel, M., & Sharif, H. In 2019.
doi  abstract   bibtex   
A Device-to-Device (D2D) wireless communication framework, in which devices are linked together directly rather than relying on fixed infrastructure to relay communication, can be envisioned as a social network. Similar to evolving society, a D2D network tends to be affected by selfishness among socially popular nodes resulting from the survivalist nature found in interaction games - in game or evolution theory. During evolution, participants accumulate obvious negative traits, i.e. selfishness or greediness. Addressing these negative traits among social nodes, which have a higher number of social connections, can be complex due to repeated central intervention. Central intervention here means central authoritative node or in this case central control station in macro cell network. To address this limitation, in this paper the authors have proposed a reactive p-\0\ measure central node selection scheme to achieve low-complexity device-centric D2D user association, to achieve results comparable to social-aware algorithms, without the associated complexity. The results show an overall improvement by a factor of 1.2 to 3.3, compared to conventional algorithms, by introducing the f\ϕ\ measure as reactive procedure to work against selfish nodes compromising network performance. To define the traits of user nodes the paper brings together the mobility concept of Self-Propelled Voronoi (SPV) model and the selfish-altruistic nature of human evolution.
@inproceedings{Banerjee2019,
   abstract = {A Device-to-Device (D2D) wireless communication framework, in which devices are linked together directly rather than relying on fixed infrastructure to relay communication, can be envisioned as a social network. Similar to evolving society, a D2D network tends to be affected by selfishness among socially popular nodes resulting from the survivalist nature found in interaction games - in game or evolution theory. During evolution, participants accumulate obvious negative traits, i.e. selfishness or greediness. Addressing these negative traits among social nodes, which have a higher number of social connections, can be complex due to repeated central intervention. Central intervention here means central authoritative node or in this case central control station in macro cell network. To address this limitation, in this paper the authors have proposed a reactive p-\{0\} measure central node selection scheme to achieve low-complexity device-centric D2D user association, to achieve results comparable to social-aware algorithms, without the associated complexity. The results show an overall improvement by a factor of 1.2 to 3.3, compared to conventional algorithms, by introducing the f\{\phi\} measure as reactive procedure to work against selfish nodes compromising network performance. To define the traits of user nodes the paper brings together the mobility concept of Self-Propelled Voronoi (SPV) model and the selfish-altruistic nature of human evolution.},
   author = {S. Banerjee and M. Hempel and H. Sharif},
   doi = {10.1109/INFCOMW.2019.8845159},
   isbn = {9781728118789},
   journal = {INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019},
   keywords = {5G,D2D,behavior aware D2D,graph theory,social-aware,wireless},
   title = {A Novel Behavioral Social-Aware D2D User Association Scheme based on Self-Propelled Voronoi},
   year = {2019},
}

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