LTE cell coverage planning algorithm optimising uplink user cell throughput

In Long Term Evolution (LTE) networks initial cell planning strategy is essential to guarantee at cell edge appropriate minimum throughput, thus guarantee service minimum requirements. User throughput in uplink is affected mostly due to in-band interference which is created due to neighbor cells´ capacity conditions. MAC Scheduler algorithm is the resource allocation function that allocates Resource Blocks (RB) in OFDM air interface to different users each unit of transmission time known as Time Transmission Interval (TTI). As a consequence in-band interference is produced by the number of users in the same RB in the same TTI in surrounding neighbor cells. Existing papers in international literature use mostly simulation results in graphical representation to simulate the interference vs. throughput conditions. However these simulations provide restrictions mostly based on the model assumptions. In this paper an uplink initial cell planning algorithm is proposed, using appropriate analytical mathematical models based on queuing theory, to predict overall interference. Using this analytical mathematical model cell planners could dynamically adjust their predictions to their individual assumptions, thus calculating uplink cell edge guaranteed throughput rate.