TY - GEN

T1 - Fundamental performance trade-offs in coexisting wireless networks

AU - Navaie, Keivan

AU - Le, Tuan Anh

PY - 2014

Y1 - 2014

N2 - This paper considers coexisting wireless networks sharing radio resources with contradicting performance objectives. A multi-objective optimization framework is proposed to investigate the fundamental trade-off between the performance of the coexisting networks. For a given set of radio resources, the optimal achievable performances of the coexisting networks are characterize by a multi-dimensional Pareto set. If the performance objectives of some of coexisting networks are modified or adjusted, the proposed framework provides the maximum corresponding achievable variation to the performance of the rest of coexisting networks. The quantitative information provided by the proposed framework facilitates joint design and optimization of coexisting networks and can be further exploited for regulating the collaborations among coexisting networks. We further show that the corresponding Pareto set can be in fact engineered by adjusting the technologies adopted in each of these networks. We then apply the proposed framework to two coexisting cellular networks. An improvement of 25% on the achievable rate is observed in return of a slightly higher interference tolerance at one of the coexisting networks.

AB - This paper considers coexisting wireless networks sharing radio resources with contradicting performance objectives. A multi-objective optimization framework is proposed to investigate the fundamental trade-off between the performance of the coexisting networks. For a given set of radio resources, the optimal achievable performances of the coexisting networks are characterize by a multi-dimensional Pareto set. If the performance objectives of some of coexisting networks are modified or adjusted, the proposed framework provides the maximum corresponding achievable variation to the performance of the rest of coexisting networks. The quantitative information provided by the proposed framework facilitates joint design and optimization of coexisting networks and can be further exploited for regulating the collaborations among coexisting networks. We further show that the corresponding Pareto set can be in fact engineered by adjusting the technologies adopted in each of these networks. We then apply the proposed framework to two coexisting cellular networks. An improvement of 25% on the achievable rate is observed in return of a slightly higher interference tolerance at one of the coexisting networks.

U2 - 10.4108/icst.5gu.2014.258069

DO - 10.4108/icst.5gu.2014.258069

M3 - Conference contribution/Paper

SP - 246

EP - 251

BT - 5G for Ubiquitous Connectivity (5GU), 2014 1st International Conference on

PB - IEEE

T2 - 1st International Conference on 5G for Ubiquitous Connectivity

Y2 - 26 November 2014

ER -