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Resource Allocation for OFDMA Systems and Energy Harvesting Communications in Multi-User Offline Scenarios

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Resumo: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.
Autores principais:Carvalho, Jair Alves de
Outros Autores:Saraiva, Juno Vitorino; Lima, Francisco Rafael Marques; Maciel, Tarcísio Ferreira; Cavalcanti, Francisco Rodrigo Porto
Assunto:Resource allocation Rate maximization OFDMA MCS Energy Harvesting, Heuristic
Ano:2021
País:Brasil
Tipo de documento:outro
Tipo de acesso:acesso aberto
Instituição associada:IBICT
Idioma:português
Origem:Oasisbr

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