Sum rate analysis for multi-cell random beamforming with heterogeneous schedule probabilities
In this letter, the closed form sum rate for the random beamforming is analyzed over the
downlink multiple-input single-output and multiple input multiple-output interfering broadcast
channel with finite users. The analysis approach is based on the limiting throughput
distribution theorem, and can be applied for the multi-cell interference scenarios with
heterogeneous signal to interference-plus-noise ratio (SINR) distributions and user
schedule probabilities. It is proved that both the exact and the asymptotic sum rates …
downlink multiple-input single-output and multiple input multiple-output interfering broadcast
channel with finite users. The analysis approach is based on the limiting throughput
distribution theorem, and can be applied for the multi-cell interference scenarios with
heterogeneous signal to interference-plus-noise ratio (SINR) distributions and user
schedule probabilities. It is proved that both the exact and the asymptotic sum rates …
In this letter, the closed form sum rate for the random beamforming is analyzed over the downlink multiple-input single-output and multiple input multiple-output interfering broadcast channel with finite users. The analysis approach is based on the limiting throughput distribution theorem, and can be applied for the multi-cell interference scenarios with heterogeneous signal to interference-plus-noise ratio (SINR) distributions and user schedule probabilities. It is proved that both the exact and the asymptotic sum rates achieved from SINR/signal-to-interference ratio analysis will converge to the Gumbel type distribution. The effectiveness of the proposed analytical framework is confirmed by simulation results.
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