Convex Optimization
On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Space Division Multiple Access With a Sum Feedback Rate Constraint
IEEE Transactions on Signal Processing - Part II
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
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Efficient channel feedback methods are becoming more important in limited-feedback multi-user multiple input multiple output (MU-MIMO) systems. We propose a new Dynamic channEl Feedback CONtrol (DEFCON) scheme, which efficiently allocates the limited system resources for channel feedback to appropriate users. The main features of the proposed DEFCON scheme are as follows. Firstly, the channel feedback procedure is composed of two stages: rough channel feedback of all users and additional precise channel feedback of the selected users only. Secondly, each selected user is allocated with different amount of resources for additional channel feedback according to its channel status. We mathematically solve the resource allocation problem by proposing a suboptimal method, which utilizes convex optimization technique combined with iterative steepest decent direction search algorithm. Numerical results show that zero-forcing beamforming (ZFBF) with the proposed DEFCON scheme considerably outperforms previous limited-feedback MU-MIMO schemes such as ZFBF with conventional static feedback method and per user unitary beamforming rate control (PU2RC).