With the massive propagation of the mobile phone traffic and demand for high data rate transmission has grown this day, the current cellular spectrum for bands less than 3 GHz is severely deficient and cannot convoy these requirements, which requires the search for suitable solutions for the application of the fifth generation 5G. The potential of millimetre-wave (mm-wave) to provide a high data rate (Gigabits per second) has attracted great interest to become a broadband candidate for the fifth generation of cellular communications networks. To increase the spectral efficiency of cellular networks, Massive multi-input multi output (MMIMO) is considered one of the most promising methods, by equipping the base station with antenna arrays with hundreds or thousands of active elements with the use of beamforming technology and conducting coherent processing on both sides of the transmitter and receiver. In this paper, two mm-wave frequencies(28GHz and 73GHz) have been compared in terms of spectrum efficiency using a massive MIMO using two beamforming methods: conjugate beamforming (CB) and zero-forcing (ZF).

One of the key elements of the 5G system is network slicing which is a talented technique to create adapted end-to-end logic network path including dedicated and shared resources. Resources scheduling and distribution of network slices show an essential effect on network performance, resource deployment, and load balancing. This paper compares many resources scheduling schemes in the 5G system with network slicing. We first compare many resource scheduling algorithms, best CQI (BCQI), Round Robin (RR), proportional fair (PF), to assess each scheme performance. Moreover, this paper proposes an adaptive scheduling scheme that dynamically chooses the scheduling algorithm among mentioned schemes to optimize the traffic, user throughput, and cell capacity. Finally, results anticipated assessed and concluded.