The information theoretic limits for the single user MIMO (Nt×Nr) communication channel are well established in literature for different scenarios of channel types and channel state information (CSI) availability. However, all obtained results in previous works are based on the linear system model in which the channel transfer function is defined as a single entity in which all environmental effects are captured. This paper proposes a modified scheme for MIMO-MAC in Rician channel to achieve better capacity gain with minimal interference. The capacity gain in MIMO over SISO systems is acquired by exploring the diversity in the channel transfer function. Our proposed scheme explores the geographical location of the MIMO system nodes independently that have a great influence on the overall system capacity. This is done by decomposing the channel transfer function into its equivalent transfer function in which the effect of the signal bearing information (Angle of Arrival (AoA)) is separated from the original channel. The comparison between conventional MIMO-MAC capacity in Rician channel and for the proposed partial zero-forcing scheme that depends on orthogonality condition are executed. Moreover, all previous work depends on studied the capacity of MIMO single user with Rician fading channel, but in our work, the multi-user (MAC) MIMO channel is used. The experimental results demonstrate that the proposed scheme gives better capacity of the single user MIMO channel scales linearly with min {Nr2, Nt2} as opposed to min {Nr, Nt} if the channel is considered as a single transfer function through exploring the geographical location of the system nodes. The results also show the effect of orthogonality between the users in decreasing the interference. Besides, the proposed scheme holds for both deterministic, Rayleigh and Rician fading channels. The effect of the (AoD) and (AoA) from all transmitting to all receiving antennas are considered to contribute in enhance the capacity of MIMO-MAC in Rician Channel.