MIMO for 5th generation heterogeneous communication networks: Modeling and performance analysis

The day-to-day increasing demand of high data rate and connectivity across all of the devices has lead us to the verge of remanipulating the current wireless deployment for the future generation networks. Current 4G deployment either uses small heterogeneous cellular networks(HetNets) or multi-antenna approach to fulfill the demand. Amalgamate of these two features can lead to a significant improvement. This piece of work is a contribution to the analysis of this combined network paradigm. This dissertation proposes a tractable analysis for use of MIMO in HetNets. A downlink analysis by deploying K-tier BSs, with different transmit power and geographical density across all k-tiers is studied. Along with it, localization of different class of BSs is carried out through well behaved independent Point Process, namely Poisson Point Process(PPP). All of this baseline model setup allow the derivation of analytical expression for coverage probability, average rate, signal to interference and noise ratio(SINR) and area spectral efficiency. Insightful results obtained shows that increasing the BSs does not necessarily increase the coverage probability, but it increases by adding less loaded small BSs. For the MIMO based HetNets with a fair spatial model, a tractable framework shows that spreading the many small SISO systems is preferable over fewer MIMO BSs. But with large number of independent SISO systems, it is more preferable to use MIMO BSs with same number of antennas.