ABSTRACT
Wireless networks are fundamentally limited by two main factors: interference and fading. While fading results in random variation in the desired signal level, interference hinders the wireless users to decode their data successfully. The major reason for fading is known to be multipath propagation and its mathematical modeling using random processes is a well-studied subject [1]. Interference, however, is affected by many uncertainties present in the wireless networks whose precise modeling requires a holistic and multilayered approach.
