Escalonamento de recursos em redes sem fio 5G baseado em otimização de retardo e de alocação de potência considerando comunicação dispositivo a dispositivo

• Autor(a) principal: Ferreira, Marcus Vinícius Gonzaga
• Data de Publicação: 2021
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• dARK ID: ark:/38995/0013000009hwx
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/11734
• topic: 5G; Escalonamento; Retardo; Dispositivo-a-dispositivo; Múltiplo compartilhamento; Scheduling; Delay; Device-to-device; Multi-sharing; 5G; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

In this thesis, a resources scheduling scheme is proposed for 5G wireless network based on CP-OFDM (Cyclic Prefix - Orthogonal Frequency Division Multiplexing) and f-OFDM (filtered - OFDM) modulations in order to optimize the average delay and the power allocation for users. In the proposed approach the transmission rate value is calculated and the modulation format is defined so that minimize system BER (Bits Error Rate). The algorithm considers, in addition to the transmission modes determined to minimize the BER, the calculation of the system's weighted throughput to optimize the users' average delay. Additionally, it is proposed an algorithm for uplink transmission in 5G wireless networks with D2D (Device-to-device) multi-sharing communication which initially allocates resources for the CUEs (Cellular User Equipments) and subsequently allocates network resources for communication between DUEs (D2D User Equipment) pairs based in the optimization of the delay and power allocation. The proposed algorithm, namely DMCG (Delay Minimization Conflict Graph), considers the minimization of the estimated delay function using concepts of Network Calculus to decide on the allocation of idle resources of the network CUEs for DUEs pairs. In this thesis, the performance of the proposed algorithms for downlink and uplink transmission are verified and compared with others algorithms in the literature in terms of several QoS (Quality of Service) parameters and considering the carrier aggregation and 256-QAM (Quadrature Amplitude Modulation) technologies. In computational simulations they are also considered scenarios with propagation by millimeter waves and the 5G specifications of the 3GPP (3rd Generation Partnership Project) Release 15. The simulation results show that the algorithms proposed for downlink and uplink transmission provide better system performance in terms of throughput and delay, in addition to presenting lower processing time compared to optimization heuristics and other QoS parameters being compatible to those of the compared algorithms.