… that the Max SINR algorithm converges. In this paper, a modification to the Max SINR algorithm
is … the modified Max SINR algorithm convergent. It is further shown that with successive …

… iterations at high SNR than subspace designs. … SINR algorithm, which is proven to converge
via alternating minimization of a global performance function. The maximum SINR algorithm …

… -MSE and interference pricing updates adjust the transmit powers jointly with the beams,
whereas the maxSINR algorithm assumes fixed power for each user. (Also, maxSINR achieves …

… Sum-Rate and Max Power) and the conventional IA algorithm. We have also included in
the … by the Max SINR (signal-tointerference-plus-noise ratio) algorithm described in [5]. This …

… Gaussian channels (direct and cross links) are generated for each user. For a fixed channel
… are computed based on IA algorithm and max-WSR algorithm over multiple SNR points. The …

… of a global SINR-based objective function that accounts for the SINRs of all transmitted data
streams in the IFC. An iterative algorithm that jointly minimizes the total interference leakage …

… ] in the low and intermediate SNR region, its convergence is not … SNR region, MSEbased
transceiver designs for the MIMO … performance of the proposed algorithms through simulations. …

… for the max-min fairness problem in MIMO interference channels. … iterative scheme to optimize
the max-min SINR problem with per-… algorithm is robust for MIMO interference channels. …

… convergent version of the Max SINR algorithm, we will require a power control step in
which we impose a sum power constraint. Imposing a sum constraint can be justified in some …

… IA, which is similar to the Max-SINR algorithm considers the effect of noise to … with Max-SINR,
it is appropriate to recall this algorithm. However, as stated in [12], [19], and [22], Max-SINR …