A flexible mid-term frequency domain scheduler for resource allocation in HetNets based on the SINR requested by users |
| |
| Affiliation: | 1. ICT Department, Icesi University, Calle 18 # 122-135, Cali, Colombia;2. Telematics Engineering Department, Vigo University, Lagoas-Marcosende, 36310 Vigo, Spain;1. Department of Systems and Computer Networks and ENGINE – European research centre of Network intelliGence for INnovation Enhancement, Wroclaw University of Technology, Wybrzeże Wyspianskiego 27, PL-50-370 Wroclaw, Poland;2. National Institute of Telecommunications, 1 Szachowa Street, 04-894 Warsaw, Poland;1. Department of Therapeutic Chemistry, Pharmaceutical and Drug Industries Research Division, National Research Centre, Dokki, Giza 12622, Egypt;2. Chemistry of Natural and Microbial Products Department, Pharmaceutical and Drug Industries Research Division, National Research Centre, Dokki, Giza 12622, Egypt;3. Pharmacognosy Department, Faculty of Pharmacy, Cairo University, Kasr el Aini St., 11562 Cairo, Egypt;1. Universidade de São Paulo – USP, Instituto de Geociências, Cidade Universitária, CEP 05508-080 São Paulo, SP, Brazil;2. Serviço Geológico do Brasil – CPRM, São Paulo, Brazil;1. Departamento de Geologia, Instituto de Geociências, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, Campus do Vale, prédio 43126, sala 202a, CEP 91570-900, Porto Alegre, RS, Brazil;2. Instituto de Geociências, Universidade de Brasília – Asa Norte CEP, 70910-900, Brasília, DF, Brazil;3. Departamento de Mineralogia e Petrologia, Instituto de Geociências, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, Campus do Vale, prédio 43126, sala 110a, CEP 91570-900, Porto Alegre, Brazil;4. Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler, RS, Av. Borges de Medeiros 261, CEP 90020-021, Porto Alegre, Brazil;5. Programa de Pós-Graduação em Geociências, Instituto de Geociências, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, Campus do Vale, prédio 43113, sala 201, CEP 91570-900, Porto Alegre, RS, Brazil;1. Sobolev Institute of Geology and Mineralogy SB RAS, 3 Koptyug Ave, Novosibirsk 630090, Russia;2. Vinogradov Institute of Geochemistry SB RAS, 1a Favorsky St., Irkutsk 664033, Russia;3. Centre for Exploration and Targeting, University of Western Australia, 35 Stirling Hwy, Crawley 6009, WA, Australia |
| |
| Abstract: | This article treats the resource allocation problem for the downlink of a multi-cell, multiservice Wireless Mobile Communications System (WMCS) with heterogeneous architecture deployed into an urban environment using Long Term Evolution (LTE) and Orthogonal Frequency Division Multiple Access (OFDMA) in its physical level.The optimization model aims to satisfy services to users by making an efficient use of the available resources, and a fair frequency block allocation, using the Signal to Interference-plus-Noise Ratio (SINR). It is a Mixed Integer Nonlinear Programming (MINLP) model whose solution is complex to obtain directly. The proposed solution algorithm decouples the solution space of the problem and uses an iterative and semi-distributed approach to implement a frequency-domain scheduler in the medium term that uses a global vision of the system to allocate resources trying to obtain the SINR required for all users (the proposed goal). Since it is not always possible to achieve it, we take advantage of the elasticity of some of the services offered and incorporate a slack variable to solve it.The approach allows selecting the frequency allocation strategy, the exploration focus of the search space and the system administrator’s vision. The results obtained show that the implementation that uses a coordinated frequency allocation obtains better results in the amount of users with full satisfaction and in the use of power when compared to implementations using other frequency allocation strategies. In scenarios with heterogeneous architecture, the combined effect of picocells and coordinated frequency allocation improves the value for the defined performance metrics. |
| |
| Keywords: | Optimization OFDMA Resource allocation LTE |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
