5g mobil ağlarda büyük veri tekniklerinin uygulanması

With regard to the forthcoming requirements for mobile services in 5G networks, several new technologies have recently become the focus of leading-edge research. One of those is in-band full-duplex communications in processing data with big data based apache spark. The idea is to simply employ the same frequency band to simultaneously transmit and receive information, allowing more spectrally efficient communications when compared to the traditional half-duplex or out-of-band full-duplex counterparts. By breaking a long-held assumption in wireless communications, in-band full-duplex may double the throughput or reduce by half the allocated bandwidth in future transmissions. Nevertheless, the self-inflected interference, that naturally arises, poses the major problem to the use of this technique, enhanced when in presence of system impairments with apache spark. Therefore, this thesis aims to study wireless communication in 5G network with use of big data based apache spark. Particularly, apache spark suppression filters are studied, as well as feedback adaptive filtering is proposed for relay systems with multiple-input multiple-out (MIMO) antennas. Furthermore, the orthogonal properties of large-scale arrays are resorted to, such that an extra level of mitigation is achieved. In this case, the relay system energy efficiency is maximized by finding the optimal transmit powers, while maintaining a certain individual link quality. For this scenario, the effect of massive MIMO is likewise addressed, and an algorithm that maximizes the system total achievable rate is derived. The network of wireless communication requires low latency and high availability of 5G mobile network connections to enable co-operation between the networks and infrastructure. The performance and functional properties of the network slices can be modified optimally with network slicing, to meet these requirements with apache spark. These new 5G technologies, however, have pressing security challenges to secure data integrity and privacy in critical wireless communications requiring extensive research before implementing these technologies into use. This research examines the new possibilities 5G networks offer for wireless network communication with high bandwidth of 90 GHz. The prediction of 5G network bandwidth maximum recoded at 90 GHz on 5 nodes of apache spark at 80% of data trained with total 12 nodes. The main question to answer is will the 5G technology offers sufficient performance for wireless communication. Keywords: 5G, in-band full-duplex, MIMO, big data, wireless communications, apache spark, spectrum allocation.