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In this work, coverage probability expressions are derived in terms of special functions for the following cases:(i). Both the user channel and the N interferers are independent and non identical Nakagami-m distributed random variables (RVs).(ii). The N interferers are correlated Nakagami-m RVs. Using the properties of special functions, the coverage probability expressions are further simplified. The coverage probability expressions for case (i) and (ii) are compared, and it is analytically shown that the coverage probability in the presence of correlated interferers is greater than or equal to the coverage probability in the presence of non-identical independent interferers when the shape parameter of the channel between the user and its base station is not greater than one. We also provide simulation results and these match with the derived theoretical results.