2012
DOI: 10.1049/iet-net.2011.0009
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Proactive autonomic load uniformisation with mobility management for wireless Internet Protocol (IP) access networks

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Cited by 9 publications
(5 citation statements)
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References 11 publications
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“…The researchers in [14][15][16] focus on the data link layer to decrease the handover latency and the researchers in [17,18] focus on reducing the signaling cost. Network Mobility (NEMO) protocols have been proposed in [19][20][21][22][23][24] to support the mobility for a group of MNs. In the NEMO protocols, the term Mobile Router (MR) is used to refer to the entity that handles the mobility-related signaling on the behalf of its associated with MNs.…”
Section: Mobility-related Studymentioning
confidence: 99%
“…The researchers in [14][15][16] focus on the data link layer to decrease the handover latency and the researchers in [17,18] focus on reducing the signaling cost. Network Mobility (NEMO) protocols have been proposed in [19][20][21][22][23][24] to support the mobility for a group of MNs. In the NEMO protocols, the term Mobile Router (MR) is used to refer to the entity that handles the mobility-related signaling on the behalf of its associated with MNs.…”
Section: Mobility-related Studymentioning
confidence: 99%
“…Hence, MPR supports any location of mobility agents in access networks. Traffic load balancing with MPR's online algorithm can coexist with load balancing solutions via mobility agents in similar access network topologies [23]. In case of the projected user mobility model for future 5G networks [18] that include coverage of heterogeneous cells, MPR would treat the occurrences of varying traffic from mobile users as a uniform scenario at the network layer.…”
Section: A Conceptmentioning
confidence: 99%
“…However, other metrics, like the IGW offered load can be used [6,[26][27][28][29]. Also MNs may choose a set of IGWs for multi-homing or load-balancing [6,30,31]. In this case, the mechanism must also support forwarding to multiple gateways simultaneously.…”
Section: Gateway Selectionmentioning
confidence: 99%