Abstract
In this letter, a novel approach for optimizing the joint deployment of small cell base stations and wireless backhaul links is proposed. This joint deployment scenario is cast as a multiobjective optimization problem under the constraints of limited backhaul capacity and outage probability. To address the problem, a novel adaptive algorithm that integrates ∈-method, Lagrangian relaxation, and tabu search is proposed to obtain the Pareto optimal solution set. Simulation results show that the proposed algorithm is quite effective in finding the optimal solutions. The proposed joint deployment model can be used for planning small cell networks.
| Original language | English |
|---|---|
| Article number | 7305743 |
| Pages (from-to) | 2250-2253 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 19 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Dec 2015 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Deployment
- Next-generation network
- Small cell
- Wireless backhaul
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