PROJECT TITLE :
Machines, Languages, and Computation at MIT
In theory, coordinated multipoint transmission (CoMP) guarantees vast gains in spectral potency. But, industrial field trials show rather disappointing throughput gains, whereby the foremost limiting issue is proper sharing of channel state info. Several recent papers have considered this thus-known as limited feedback drawback within the context of CoMP, typically taking the subsequent assumptions, particularly, infinite SNR regime, no user selection, and ideal link adaptation, rendering the analysis too optimistic. During this paper, we tend to make a leap forward toward a more realistic assessment of the limited feedback problem by introducing an improved metric for the performance analysis, which better captures the throughput degradation. We tend to find the relevant scaling laws (lower and upper bounds) and show that they're completely different from existing ones. Moreover, we have a tendency to give a robust iterative interference alignment algorithm and corresponding feedback strategies achieving the obtained scaling laws. The most idea is that, instead of sending the complete channel matrix, each user fixes a receive filter and feeds back a quantized version of the effective channel. Finally, we have a tendency to underline our findings with simulations for the proposed system.
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