sis, three different scenarios are considered such as {0.99,0.99,0.99}, {0.95, 0.95, 0.95}, and {0.9,0.9,0.9}. Results illustrate the well agreement of the derived analytical results of outage probability and asymptotic outage probability and verified through Monte Carlo simulations. Curves illustrate that the performance of the system is better even after harvesting the energy for a = 0.2. Curves at high SNR regime illustrate the loss in diversity order of the P. Shaik and V. Bhatia {0.99,0.99,0.99}-Ana. {0.99,0.99,0.99}-Asym. {0.99,0.99,0.99}-Sim. {0.95,0.95,0.95}-Ana. {0.95,0.95,0.95}-Asym. {0.95,0.95,0.95}-Sim. {0.9,0.9,0.9}-Ana. {0.9,0.9,0.9}-Asym. {0.9,0.9,0.9}-Sim. Transmit SNR (dB) Fig. 6.3 X 2 X 2 MIMO AC: Outage probability VS SNR for different CEE conditions [13] system with a constant error floor for a minor change in CEE values. This is due to SNR independent CEE variance. In Fig. 6.4, for 2 X 1 X 2 AC with {1,2,1} FPs, outage probability analysis is presented to visualize the impact of a under different symmetric CEE conditions. In Fig. 6.4, analytical results of outage probability are presented. The curves demonstrate the degradation of system performance with the increase in a value. With the increase in EH time, error floors increase, and it still increases with the reduction in PPQ values. As a increases, EH time increases resulting in a lower IP time, and thus outage probability increases. For an outage probability of 10-3 with a = 0.2, SNR gain of 6 dB is observed for the system with {0.99, 0.99, 0.99} over {0.95, 0.95, 0.95} case. As a value increase to 0.5, SNR gain increases to 10 dB for an outage probability of 10-2. It escalates to 8 gain for a = 0.7 over {0.95, 0.95, 0.95} case with a constant error floor. In Fig. 6.5, 2 X 2 X 1-{1, 1, 2} AC throughput is attained by the system which is presented for different CEE values at different rates. Curves illustrate that for Rth = 1 bps/Hz, the system throughput attains saturation with T ~ 0.4 at 12 dB and 15 dB, respectively, for {0.99, 0.99, 0