PROJECT TITLE :
Handoff Rate and Coverage Analysis in Multi-Tier Heterogeneous Networks
This paper analyzes the impact of user mobility in multi-tier heterogeneous networks. We have a tendency to begin by obtaining the handoff rate for a mobile user in an irregular cellular network with the access point locations modeled as a homogeneous Poisson point process. The received signal-to-interference-ratio (SIR) distribution along with a chosen SIR threshold is then used to obtain the chance of coverage. To capture potential association failures thanks to mobility, we have a tendency to assume that a fraction of handoffs end in such failures. Considering a multi-tier network with orthogonal spectrum allocation among tiers and the most biased average received power because the tier association metric, we have a tendency to derive the likelihood of coverage for 2 cases: one) the user is stationary (i.e., handoffs do not occur, or the system isn't sensitive to handoffs); two) the user is mobile, and also the system is sensitive to handoffs. We tend to derive the optimal bias factors to maximize the coverage. We show that when the user is mobile, and therefore the network is sensitive to handoffs, both the optimum tier association and therefore the probability of coverage depend on the user's speed; a speed-dependent bias issue will then modify the tier association to effectively improve the coverage, and hence system performance, in a very absolutely-loaded network.
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