Performance Analysis of Spectral Efficiency for 5G Enhanced Mobile Broadband Network with Massive MIMO

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Addis Ababa University


Due to the increase of the number of users and applications, the improvement of technology is also ongoing. Wireless mobile communications need high data rate and capacity at the same time. Future generation wireless communication will have to deal with some basic requirements for serving large number users with high throughput. The fifth generation (5G) network needs to evolve in order to increase the capacity higher than the fourth generation of networks by 2025. In practice, the inter-user interference in multi-cell network has impact when more users access the wireless network and reduces performance of the system. This thesis explains the basic motivations behind Massive MIMO technology in application to 5G enhanced mobile broadband network, and provides analysis for spectral efficiency in different propagation environments. First, Lower bound SE expressions are derived to enable efficient system-level analysis under LoS and NLoS propagation environments under the assumption that channel state information is acquired by using pilot sequences (reused across the network) with densification of BSs so as to improve the SE for UEs. Simulations are used to show what happens to SE for different path loss models, BS antennas M, and different UEs K under these propagation environments. The numerical analysis shows that the SE as a function of BS density achieves its maximum for a relatively small density of BS, irrespective of the processing scheme used. This is different from distance-independent path loss model, in which the SE is a non-decreasing function of BS density. ZF processing is found to be good compensation in complexity and performance in spectral efficiency, which is then used to optimize, for a given BS density, the pilot reuse factor, number of BS antennas and UEs.



Massive MIMO system, eMBB, LoS and NLoS propagation, Distance dependent path loss, Area Spectral efficiency, optimal power control schemes