Raviraj Adve

TL;DR: It is shown that the source and the relay should map their signals to the dominant right singular vectors of the source-relay and relay-destination channels, and the appropriateness of Grassmannian codebooks for quantizing the optimal source beamforming vector based on its distribution is justified.

TL;DR: It is shown that in fact an LS-MIMO system provides considerably better performance than a network MIMo system, given the likely lower cost of adding excess number of antennas, and could be a preferred multicell coordination approach for interference mitigation.

TL;DR: It is shown that when the user is mobile, and the network is sensitive to handoffs, both the optimum tier association and the probability of coverage depend on the user's speed; a speed-dependent bias factor can then adjust the tier association to effectively improve the coverage, and hence system performance, in a fully-loaded network.

TL;DR: In this article, the impact of user mobility in multi-tier heterogeneous networks was analyzed, and the authors derived the optimal bias factors to maximize the coverage and showed that when the user is mobile, both the optimum tier association and the probability of coverage depend on the user's speed; a speed-dependent bias factor can then adjust the tier association to effectively improve the coverage, and hence system performance, in a fully loaded network.

TL;DR: In this paper, a weighted sum rate maximization problem was formulated for coherent and non-coherent transmission modes, and an algorithm that optimizes the beamforming weights and user scheduling and converges in a smooth non-decreasing pattern was proposed.