Open AccessBook
Wireless Network Design: Optimization Models and Solution Procedures
Jeff Kennington,Eli V. Olinick,Dinesh Rajan +2 more
- 02 Dec 2010
59
TL;DR: In this paper, the authors present state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver.
read more
Abstract: This booksurveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver. The past two decades have seen a tremendous growth in the deployment and use of wireless networks. The current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. The optimization of system performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. In the editors' previous work on traditional wired networks, we have observed that designing low cost, survivable telecommunication networks involves extremely complicated processes. Commercial products available to help with this task typically have been based on simulation and/or proprietary heuristics. As demonstrated in this book, however, mathematical programming deserves a prominent place in the designer's toolkit. Convenient modeling languages and powerful optimization solvers have greatly facilitated the implementation of mathematical programming theory into the practice of commercial network design. These points are equally relevant and applicable in todays world of wireless network technology and design. But there are new issues as well: many wireless network design decisions, such as routing and facility/element location, must be dealt with in innovative ways that are unique and distinct from wired (fiber optic) networks. The book specifically treats the recent research and the use of modeling languages and network optimization techniques that are playing particularly important and distinctive roles in the wireless domain.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
LoRaWAN-Based Energy-Efficient Surveillance by Drones for Intelligent Transportation Systems
TL;DR: Drones are used as LoRaWAN gateway and a communication strategy based on the area stress, resilient factor, and energy consumption is proposed that avail in the efficient localization, improved coverage and energy-efficient surveillance with lower overheads, lower redundancy, and almost zero-isolations.
109
Multi-subpopulation evolutionary algorithms for coverage deployment of UAV-networks
Daniel Gutiérrez Reina,Hissam Tawfik,Sergio Toral +2 more
- 01 Jan 2018
TL;DR: The proposed MLMPGA achieves significantly better performance results than the other meta-heuristic algorithms, such as classical genetic algorithms, hill climbing algorithm, and particle swarm optimization, in the vast majority of simulation scenarios.
80
Interairline Equity in Airport Scheduling Interventions
TL;DR: This paper designs, optimizes, and assesses a novel approach for airport scheduling interventions that incorporates interairline equity objectives that relies on a multilevel modeling architecture based on on-time performance, efficiency, and equity objectives.
Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation
TL;DR: The proposed encoding method and genetic operation are merged into the multiobjective evolutionary algorithm-based decomposition (MOEA/D-M2M) to solve the WCDMA network planning problem.
29
Negative Cycle Separation in Wireless Network Design
TL;DR: In this paper, a pure 0-1 linear programming (LPLP) formulation for the wireless network design problem (WND) is presented. But the problem is hard to separate both theoretically and in practice and a relevant subset of such inequalities can be separated more efficiently in practice.
19
Related Papers (5)
Theodore S. Rappaport
- 15 Jan 1996
George L. Nemhauser,Laurence A. Wolsey +1 more
- 01 Jan 1988
Jeff Kennington,Eli V. Olinick,Dinesh Rajan +2 more
- 01 Jan 2011
Mauricio G. C. Resende,Panos M. Pardalos +1 more
- 01 Jan 2006