Handoff Rate and Coverage Analysis in Multi-tier Heterogeneous Networks
Sanam Sadr, Raviraj S. Adve

TL;DR
This paper investigates how user mobility affects coverage and handoff rates in multi-tier heterogeneous cellular networks, proposing a speed-dependent biasing strategy to optimize coverage performance.
Contribution
It derives analytical expressions for handoff rate and coverage probability considering user mobility, and introduces a speed-dependent bias factor for improved network coverage.
Findings
Coverage probability decreases with higher user speed.
Speed-dependent biasing improves coverage in mobile scenarios.
Optimal bias factors depend on user speed and network load.
Abstract
This paper analyzes the impact of user mobility in multi-tier heterogeneous networks. We 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 probability of coverage. To capture potential connection failures due to mobility, we assume that a fraction of handoffs result in such failures. Considering a multi-tier network with orthogonal spectrum allocation among tiers and the maximum biased average received power as the tier association metric, we derive the probability of coverage for two cases: 1) the user is stationary (i.e., handoffs do not occur, or the system is not sensitive to handoffs); 2) the user is mobile, and the system is sensitive to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · ICT Impact and Policies · Advanced Wireless Network Optimization
