NETWORK PLANNING LEVERAGING AVERAGE BIT ERROR PROBABILITY AND CHANNEL CAPACITY OF MACRO DIVERSITY SYSTEM IN GAMMA SHADOWED RAYLEIGH FADING CHANNEL

This paper considers a system of macro diversity (MD) that consists of a macro receiver of SC diversity (MD SC) and two micro MRC (mD MRC) receivers, which operate in a correlated Gamma-shadowed Rayleigh multipath fading environment. The combination of the maximum L-branch ratio (SNR signal-to-noise) is realized at the micro level, and the optional selection combiner (SC) with two base stations is performed at the macro level. The closed-form expression for the moment-generating function (MGF) of the SC macro diversity output signal envelope is calculated. This result is used to study important system performance parameters such as downtime probability, average bit error probability (ABEP), average output signal value, and amount of fading (AoF). The paper also calculates the channel capacity (CC) of the MD SC receiver. The results are graphically illustrated showing the influence of di ff erent system parameters on performance, as well as the improvement due to the use of a combination of micro and macro diversity systems. Furthermore, the derived expressions are leveraged within the GPU-enabled mobile network modeling, planning and simulation environment for Quality of Service (QoS) parameter value determination.