As a result, WLAN will give rise to a higher number of handoff requests for high-mobility users, and the corresponding number of handoff requests of the calls in progress may cause an excessive processing load in the network.
The mobility class are (a) mobile users and (b) nomadic users with a rather low terminal velocity.
Our comparative study confirms that system performance is impacted by a variety of factors such as wireless access methods, mobility, user location, and popularity of the information.
Mobility-aware CaRs are deployed at the edge of the access networks to support user mobility, and track the mobility of users and context information and can predict their future locations [1].
The advantages of wireless networks are that: they allow for mobility of users and re-wiring is unnecessary when a user of a WLAN moves – which is especially important for users of portable data terminals.
However, due to the mobility of users and the instability of wireless signals, we find that traditional localization methods do not perform well, and the localization accuracy is thus not acceptable.
After about step 700, 70 s after the initialization, we do not see significant improvement in JKPI, and JKPI converges to around 220 kbps although it still fluctuates slightly due to the mobility of users and dynamics of channel conditions.
Then, the second step addresses the mitigation of cross-tier interferences while protecting the guaranteed users and high-mobility users usually served by the macrocells.
Then, the second step addresses on the mitigation of cross-tier interferences while protecting the guaranteed users and high-mobility users usually served by the macro cells.
Furthermore, considering the cross-tier interferences, the game theory-based power control scheme with convex pricing functions could mitigate the cross-tier interference while protecting the guaranteed users and high-mobility users usually served by the macro cells.
