TY - GEN
T1 - Mean field evolutionary dynamics in ultra dense mobile edge computing systems
AU - Gao, Hao
AU - Li, Wuchen
AU - Banez, Reginald A.
AU - Han, Zhu
AU - Poor, H. Vincent
PY - 2019/12
Y1 - 2019/12
N2 - In mobile edge computing(MEC), the computing resources used to be centralized on the core cloud are extended to the mobile edge hosts (i.e. cloudlets) dispersedly deployed near the mobile users. In this new architecture, myriad of mobile terminals including vehicles, smart phones and different kinds of computers will form an ultra dense network. This motivates us to consider an ultra dense MEC system in which limited mobile edge hosts serve a relatively huge amount of mobile users. Considering the substantial amount and selfish manner of the users, we formulate the problem as a non-cooperative dynamic population game. The main contribution of this paper is as following. First, we consider the channel interference, average response time, load balance among servers and fairness (the variance of individual response time). Second, we propose an innovative mean field evolutionary approach which is robust to the channel interpolation as shown by the simulation results. Eventually, we consider a more challenging situation when the computing resources are rather limited.
AB - In mobile edge computing(MEC), the computing resources used to be centralized on the core cloud are extended to the mobile edge hosts (i.e. cloudlets) dispersedly deployed near the mobile users. In this new architecture, myriad of mobile terminals including vehicles, smart phones and different kinds of computers will form an ultra dense network. This motivates us to consider an ultra dense MEC system in which limited mobile edge hosts serve a relatively huge amount of mobile users. Considering the substantial amount and selfish manner of the users, we formulate the problem as a non-cooperative dynamic population game. The main contribution of this paper is as following. First, we consider the channel interference, average response time, load balance among servers and fairness (the variance of individual response time). Second, we propose an innovative mean field evolutionary approach which is robust to the channel interpolation as shown by the simulation results. Eventually, we consider a more challenging situation when the computing resources are rather limited.
UR - http://www.scopus.com/inward/record.url?scp=85081958953&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081958953&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM38437.2019.9013572
DO - 10.1109/GLOBECOM38437.2019.9013572
M3 - Conference contribution
T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019
Y2 - 9 December 2019 through 13 December 2019
ER -