In this paper we focus on the uplink offloading based on IP Flow Mobility (IFOM). With IFOM a User Equipment (UE) is able to maintain concurrently two data streams, one through LTE and the other through WiFi. We propose a weighted proportionally fair algorithm for the WiFi access and a linear pricing based algorithm for the LTE access. The existence of a malicious UE is considered that aims to exploit the WiFi bandwidth against its peers in order to upload less data through the energy demanding LTE uplink and a reputation based method is proposed to combat its selfish operation. We theoretically analyse our approach and evaluate the performance of the malicious and the truthful UEs in terms of energy efficiency through simulations. We show that while the malicious UE presents better energy efficiency before being detected, its performance is significantly degraded with the proposed reaction methIn this paper we focus on the uplink offloading based on IP Flow Mobility (IFOM). With IFOM a User Equipment (UE) is able to maintain concurrently two data streams, one through LTE and the other through WiFi. We propose a weighted proportionally fair algorithm for the WiFi access and a linear pricing based algorithm for the LTE access. The existence of a malicious UE is considered that aims to exploit the WiFi bandwidth against its peers in order to upload less data through the energy demanding LTE uplink and a reputation based method is proposed to combat its selfish operation. We theoretically analyse our approach and evaluate the performance of the malicious and the truthful UEs in terms of energy efficiency through simulations. We show that while the malicious UE presents better energy efficiency before being detected, its performance is significantly degraded with the proposed reaction method.

Peer Reviewed