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In this paper, we aim to solve the multiuser multi-input multi-output (MIMO) downlink beamforming problem where one multi-antenna base station broadcasts data to many users. Each user is assigned multiple data streams and has multiple antennas at its receiver. Efficient solutions to the joint transmit-receive beamforming and power allocation problem based on iterative methods are proposed. We adopt...
Interference aware user scheduling in fixed grid-of-beam (GoB) transmission is envisaged to significantly benefit from the receiver initiated busy burst (BB) protocol. Fixed GoB scheduling relies on the knowledge of the location of the intended users as well as the vulnerable users which effectively is provided by the BB protocol via exploitation of channel reciprocity. This paper studies the hybrid...
Closed loop transmit diversity has already been adopted by 3GPP for MIMO HSDPA in the form of TxAA and its dual stream counterpart, D-TxAA. While both these transmission techniques provide performance gains for single user (SU) scenarios, they both introduce multi-user interference in the downlink in multi-user (MU) scenarios. In this paper, we study the extension of these transmission techniques...
In multiple-input multiple-output (MIMO) broadcast channels, multiuser diversity is exploited by scheduling data transmission to users with best channel conditions. To find the best set of users, the base station requires knowledge of user channels, which for the case of non-reciprocal uplink and downlink channels may lead to a very heavy feedback overhead. In particular, well known transmission schemes...
In TxAA HSDPA downlink a basestation is capable of serving several users simultaneously. The users are distinguished by different spreading sequences and their data chip streams are weighted by individual precoding coefficients. In this contribution we derive an MMSE equalizer for TxAA HSDPA downlink that takes the interference of the other users into account. Compared to the straightforward receiver...
In this paper consider a downlink multiuser-MIMO transmission system in which at most two users can transmit simultaneously on different spatial channels or beams. We show how to find the optimal user subsets for K users in a system where inter-user interference is mitigated via transmit precoding and sum capacity is maximized using a linear programming algorithm that defines the optimal user subsets...
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