How Mobility Impacts the Performance of Inter-Cell Coordination in Cellular Data Networks

In this paper, we assess the performance of inter-cell coordination in the presence of mobility. This performance depends primarily on the resource allocation scheme. Indeed, a scheduling strategy which may seem efficient when users are static can lead to bad performance when users are mobile. Several scheduling policies are investigated. Their performance critically depends on their ability to predict users' mobility. The results are based on the analysis of flow-level traffic models.

[1]  Thomas Bonald,et al.  Flow-level performance of intra-site coordination in cellular networks , 2013, 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[2]  Mohamed Kadhem Karray.  User’s mobility effect on the performance of wireless cellular networks serving elastic traffic , 2011, Wirel. Networks.

[3]  Sem C. Borst,et al.  Capacity of Wireless Data Networks with Intra- and Inter-Cell Mobility , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[4]  Xu Li,et al.  Joint Scheduling Algorithms for LTE-A CoMP System , 2013, J. Comput..

[5]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[6]  Sem C. Borst,et al.  Flow-level performance and capacity of wireless networks with user mobility , 2009, Queueing Syst. Theory Appl..

[7]  Berna Sayraç,et al.  Opportunistic gains of mobility in cellular data networks , 2015, 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[8]  Lars Thiele,et al.  Coordinated multipoint: Concepts, performance, and field trial results , 2011, IEEE Communications Magazine.

[9]  Jing Liu,et al.  A Novel Transmission Scheme and Scheduling Algorithm for CoMP-SU-MIMO in LTE-A System , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[10]  Lu Zhao,et al.  Centralized scheduling for joint transmission coordinated multi-point in LTE-Advanced , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[11]  Guido Sanguinetti,et al.  Network Performance Analysis , 2022 .

[12]  Sem C. Borst,et al.  Mobility-Driven Scheduling in Wireless Networks , 2009, IEEE INFOCOM 2009.

[13]  Sem C. Borst,et al.  How mobility impacts the flow-level performance of wireless data systems , 2004, IEEE INFOCOM 2004.

[14]  Bara Kim,et al.  Stability of flow-level scheduling with Markovian time-varying channels , 2013, Perform. Evaluation.