  The probability density function (PDF) and cumulative distribution function
of the sum of L independent but not necessarily identically distributed squared
\eta-\mu variates, applicable to the output statistics of maximal ratio
combining (MRC) receiver operating over \eta-\mu fading channels that includes
the Hoyt and the Nakagami-m models as special cases, is presented in
closed-form in terms of the Fox's H-bar function. Further analysis,
particularly on the bit error rate via PDF-based approach, is also represented
in closed form in terms of the extended Fox's H-bar function (H-hat). The
proposed new analytical results complement previous results and are illustrated
by extensive numerical and Monte Carlo simulation results.
