Publication
Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios
| Summary: | We formulate the resource allocation problem of maximizing throughput in an OFDMA (Orthogonal Frequency Division Multiple Access) downlink network where the BS (Base Station) adapts the power allocation according to non-causal (offline) knowledge of the harvested energy and channel state. The offline case is important from a theoretical point of view since it provides a bound on the performance of the online problem (causal). Differently from previous work, that consider a continuous relation between SNR (Signal-to-Noise Ratio) and transmit data rate, we employ a discrete mapping that depends on the required MCSs (Modulation and Code Schemes). Also, we propose a heuristic algorithm that provides near-optimal results and achieves a good complexity/performance trade-off. |
|---|---|
| Main Authors: | Carvalho, Jair Alves de |
| Other Authors: | Saraiva, Juno Vitorino; Lima, Francisco Rafael Marques; Maciel, Tarcísio Ferreira; Cavalcanti, Francisco Rodrigo Porto |
| Subject: | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| Year: | 2021 |
| Country: | Brazil |
| Document type: | other |
| Access type: | open access |
| Associated institution: | IBICT |
| Language: | Portuguese |
| Origin: | Oasisbr |
| _version_ | 1871532112868278272 |
|---|---|
| author | Carvalho, Jair Alves de |
| author2 | Saraiva, Juno Vitorino Lima, Francisco Rafael Marques Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
| author2_role | author author author author |
| author_facet | Carvalho, Jair Alves de Saraiva, Juno Vitorino Lima, Francisco Rafael Marques Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
| author_role | author |
| country_str | BR |
| creators_json_txt | [{\"Person.name\":\"Carvalho, Jair Alves de\"},{\"Person.name\":\"Saraiva, Juno Vitorino\"},{\"Person.name\":\"Lima, Francisco Rafael Marques\"},{\"Person.name\":\"Maciel, Tarcísio Ferreira\"},{\"Person.name\":\"Cavalcanti, Francisco Rodrigo Porto\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Carvalho, Jair Alves de Saraiva, Juno Vitorino Lima, Francisco Rafael Marques Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
| datacite.date.Accepted.fl_str_mv | 2017-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-08-18T19:01:08Z |
| datacite.date.embargoed.fl_str_mv | 2021-08-18T19:01:08Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| datacite.titles.title.fl_str_mv | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| dc.creator.none.fl_str_mv | Carvalho, Jair Alves de Saraiva, Juno Vitorino Lima, Francisco Rafael Marques Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
| dc.date.Accepted.fl_str_mv | 2017-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-08-18T19:01:08Z |
| dc.date.embargoed.fl_str_mv | 2021-08-18T19:01:08Z |
| dc.description.none.fl_str_mv | We formulate the resource allocation problem of maximizing throughput in an OFDMA (Orthogonal Frequency Division Multiple Access) downlink network where the BS (Base Station) adapts the power allocation according to non-causal (offline) knowledge of the harvested energy and channel state. The offline case is important from a theoretical point of view since it provides a bound on the performance of the online problem (causal). Differently from previous work, that consider a continuous relation between SNR (Signal-to-Noise Ratio) and transmit data rate, we employ a discrete mapping that depends on the required MCSs (Modulation and Code Schemes). Also, we propose a heuristic algorithm that provides near-optimal results and achieves a good complexity/performance trade-off. |
| dc.identifier.none.fl_str_mv | http://www.repositorio.ufc.br/handle/riufc/60029 |
| dc.language.none.fl_str_mv | por |
| dc.publisher.none.fl_str_mv | https://www.sbrt.org.br/sbrt2017 |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.source.none.fl_str_mv | reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
| dc.subject.none.fl_str_mv | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| dc.title.fl_str_mv | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_1843 |
| description | We formulate the resource allocation problem of maximizing throughput in an OFDMA (Orthogonal Frequency Division Multiple Access) downlink network where the BS (Base Station) adapts the power allocation according to non-causal (offline) knowledge of the harvested energy and channel state. The offline case is important from a theoretical point of view since it provides a bound on the performance of the online problem (causal). Differently from previous work, that consider a continuous relation between SNR (Signal-to-Noise Ratio) and transmit data rate, we employ a discrete mapping that depends on the required MCSs (Modulation and Code Schemes). Also, we propose a heuristic algorithm that provides near-optimal results and achieves a good complexity/performance trade-off. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | other |
| id | oasisbr_11c2e2a3ea51490c0121f19b2a22d56d |
| identifier.url.fl_str_mv | http://www.repositorio.ufc.br/handle/riufc/60029 |
| inst_facet_str | urn:organizationAcronym:oasisbr{{{_:::_}}}IBICT |
| instacron_str | OASISBR |
| institution | IBICT |
| instname_str | IBICT |
| language | por |
| network_acronym_str | oasisbr |
| network_name_str | Oasisbr |
| oai_identifier_str | oai:www.repositorio.ufc.br:riufc/60029 |
| organization_str_mv | urn:organizationAcronym:oasisbr |
| person_str_mv | Carvalho, Jair Alves de Saraiva, Juno Vitorino Lima, Francisco Rafael Marques Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
| publishDate | 2021 |
| publisher.none.fl_str_mv | https://www.sbrt.org.br/sbrt2017 |
| repo_facet_str | urn:repositoryAcronym:oasisbr{{{_:::_}}}Oasisbr |
| reponame_str | Oasisbr |
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| spelling | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline ScenariosCarvalho, Jair Alves deSaraiva, Juno VitorinoLima, Francisco Rafael MarquesMaciel, Tarcísio FerreiraCavalcanti, Francisco Rodrigo PortoResource allocationRate maximizationOFDMAMCSEnergy Harvesting, Heuristicopen accesshttp://purl.org/coar/access_right/c_abf2http://www.repositorio.ufc.br/handle/riufc/60029URLCARVALHO, Jair Alves de; SARAIVA, Juno Vitorino; LIMA, Francisco Rafael Marques; MACIEL, Tarcísio Ferreira; CAVALCANTI, Francisco Rodrigo Porto. Resource allocation for OFDMA systems and energy harvesting communications in multi-user offline scenarios. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES E PROCESSAMENTO DE SINAIS – SbrT, XXXV., 3 a 6 set. 2017. São Pedro-SP. Anais[…], São Pedro-SP, 2017.p.323-327.N/AHasVersionhttp://www.repositorio.ufc.br/handle/riufc/60029URLHasVersion2021-08-18T19:01:08Z2021-08-182017-01-01T00:00:00ZWe formulate the resource allocation problem of maximizing throughput in an OFDMA (Orthogonal Frequency Division Multiple Access) downlink network where the BS (Base Station) adapts the power allocation according to non-causal (offline) knowledge of the harvested energy and channel state. The offline case is important from a theoretical point of view since it provides a bound on the performance of the online problem (causal). Differently from previous work, that consider a continuous relation between SNR (Signal-to-Noise Ratio) and transmit data rate, we employ a discrete mapping that depends on the required MCSs (Modulation and Code Schemes). Also, we propose a heuristic algorithm that provides near-optimal results and achieves a good complexity/performance trade-off.We formulate the resource allocation problem of maximizing throughput in an OFDMA (Orthogonal Frequency Division Multiple Access) downlink network where the BS (Base Station) adapts the power allocation according to non-causal (offline) knowledge of the harvested energy and channel state. The offline case is important from a theoretical point of view since it provides a bound on the performance of the online problem (causal). Differently from previous work, that consider a continuous relation between SNR (Signal-to-Noise Ratio) and transmit data rate, we employ a discrete mapping that depends on the required MCSs (Modulation and Code Schemes). Also, we propose a heuristic algorithm that provides near-optimal results and achieves a good complexity/performance trade-off.porhttps://www.sbrt.org.br/sbrt2017reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85otherhttp://purl.org/coar/resource_type/c_1843other research product |
| spellingShingle | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios Carvalho, Jair Alves de Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| status | SINGLETON |
| status_str | VoR |
| subject.fl_str_mv | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| title | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| title_full | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| title_fullStr | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| title_full_unstemmed | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| title_short | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| title_sort | Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios |
| topic | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| topic_facet | Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic |
| url | http://www.repositorio.ufc.br/handle/riufc/60029 |
| visible | 1 |
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