Coverage and Effective Capacity in Downlink MIMO Multicell Networks With Power Control: Stochastic Geometry Modelling

In this paper, coverage probability and effective capacity in downlink multiple-antenna cellular system are considered. Two scenarios are investigated; in the first scenario, it is assumed that the system employs distance-based fractional power control with no multicell coordination. For the second scenario, we assume the system implements multicell coordinated beamforming so as to cancel inter-cell interference. For both scenarios, the BSs are assumed to randomly uniformly distributed in the area according to Poisson point process. Using tools from stochastic geometry, tractable, analytical expressions for coverage probability and effective capacity are derived for both scenarios. Numerical results reveal that for a system with stringent delay quality of service (QoS) constraints, i.e. (traffic delay is intolerable), best performance can be achieved by suitably adopting fractional power strategy when transmitting to the users, while constant power allocation performs better than all other power allocation strategies when the delay QoS constraints get loose (tolerable delay). For coverage probability, a fractional power control is better than constant power and channel inversion power strategies for low signal-to-interference plus noise ratio (SINR) thresholds, while the constant power strategy performs better than others in high SINR thresholds.