Yichao Huang

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—This paper studies joint beamforming and power control in a coordinated multicell downlink system that serves multiple users per cell to maximize the minimum weighted signal-to-interference-plus-noise ratio. The optimal solution and distributed algorithm with geometrically fast convergence rate are derived by employing the nonlinear Perron-Frobenius theory(More)
The inherent heterogeneous structure resulting from user densities and large scale channel effects motivates heterogeneous partial feedback design in heterogeneous networks. In such emerging networks, a distributed scheduling policy which enjoys multiuser diversity as well as maintains fairness among users is favored for individual user rate enhancement and(More)
This paper investigates three open problems in random beamforming based communication systems: the scheduling policy with heterogeneous users, the closed form sum rate, and the randomness of multiuser diversity with selective feedback. By employing the cumulative distribution function based scheduling policy, we guarantee fairness among users as well as(More)
Current OFDMA systems group resource blocks into subband to form the basic feedback unit. Homogeneous feedback design with a common subband size is not aware of the heterogeneous channel statistics among users. Under a general correlated channel model, we demonstrate the gain of matching the subband size to the underlying channel statistics motivating(More)
This paper investigates a joint power control and beamformer design in a correlated multiuser MISO downlink to minimize the weighted transmit power. We firstly review a distributed fixed-point iterative algorithm. This algorithm, though converging to the optimal solution, requires instantaneous power iteration. In order to reduce the implementation(More)
The rate scaling in a multiuser single cell scenario with opportunistic scheduling is well-known. However, the heterogeneous large scale channel effects of intercell interference in a multicell scenario complicate analysis of distributed scheduling based systems. In this paper, we investigate the rate scaling in a generic multiuser multicell downlink(More)
Random beamforming with greedy scheduling policy in a heterogeneous setting is only fair as the number of transmit antennas M grows asymptotically. In practical systems with finite M and heterogeneous users having diverse large scale channel effects, in order to guarantee fairness among users and exploit multiuser diversity as well, an alternate scheduling(More)