z-logo
open-access-imgOpen Access
SET COVER PROBLEM OF COVERAGE PLANNING IN LTE-ADVANCED RELAY NETWORKS
Author(s) -
FanHsun Tseng
Publication year - 2014
Publication title -
international journal of electronic commerce studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.196
H-Index - 9
eISSN - 2410-8588
pISSN - 2073-9729
DOI - 10.7903/ijecs.1159
Subject(s) - computer science , relay , computer network , set cover problem , 3rd generation partnership project 2 , heuristic , node (physics) , wireless network , cellular network , integer programming , set (abstract data type) , wireless , telecommunications link , telecommunications , engineering , artificial intelligence , power (physics) , physics , structural engineering , algorithm , quantum mechanics , programming language
Various mobile devices are developing rapidly in contemporary society, such as smart phones and tablet PCs. Users are able to acquire different multimedia services through wireless communication anytime and anywhere. However, the increased demand also gives rise to a problem of insufficient bandwidth. Therefore, a fourth generation mobile telecommunications (4G) technology was proposed and widely investigated. One of the popular technologies is Long Term Evolution Advanced (LTE-Advanced), which was proposed by the Third Generation Project Partnership (3GPP). The Evolved Node B (eNB) and Relay Node (RN) are the major components in an LTE-Advanced network. How best to deploy these two components to extend network coverage and expand performance is a vital issue. In this paper, we utilize an integer linear programming model (ILP) to formulate the coverage problem, and refer to a well-known problem called the SetCover problem. Then we propose a heuristic algorithm named as the Set Covering algorithm to solve it. The ultimate object is achieving the highest network coverage and capacity with the least uncovered mobile user. In the simulation result, we use MATLAB to simulate a network deployment, and evaluate the planning results. According to the simulation results, we accomplished better network capacity and a higher number of covered users.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom