Yichao Huang

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This paper investigates the application of blind and semi-blind interference alignment methods in clustered small cell networks. First, we examine two simple straightforward extensions of blind interference alignment and observe that neither of them is uniformly superior under all user distribution. Then, we exploit the location information of the users and(More)
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)
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 communication schemes rely on instantaneous adaptation, which increases the system complexity and is memoryless. We propose a scheme for adapting system parameters based on a priori knowledge of the channel statistics to reduce feedback requirements. As a vital parameter in OFDM system, cyclic prefix (CP) length depends mainly on two channel(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)
This paper studies a joint optimization of beamforming and power control to enforce egalitarian fairness for all users in a multicell setting. In a single cell downlink with instantaneous channel information, the well-known uplink-downlink duality via Lagrange interpretation helps in algorithm design. By leveraging nonlinear Perron-Frobenius theory, we(More)
Distributed antenna systems provide efficient utilization of the spatial degrees of freedom by processing signals on geographically separated remote radio units. In such systems, the heterogeneous large scale channel effects caused by the distributed located nature complicate the design of opportunistic scheduling schemes and the related issues of limited(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)