Proceedings ArticleDOI
Sum-rate maximization and sum-power minimization for 2-user (2,2) downlink systems using generalized zero-forcing
Kai-Kit Wong
- Vol. 3, pp 381-384
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TLDR
In this article, the authors derived the optimal array processing solutions for both the sum-rate maximization problem, subject to a fixed transmit power constraint, and the sum power minimization problem subject to the fixed rate constraint.Abstract:
The paper analyzes a downlink system where a 2-antenna base station is sending independent signals to two 2-antenna mobile users simultaneously in the same physical (time and frequency) channel. To multiplex the signals in the spatial domain, we consider the use of orthogonal space-division multiplexing (OSDM), broadly known as generalized zero-forcing (GZF), that allows the users to be completely separated before decoding. The paper's main contribution is that we derive the optimal array processing solutions for both the sum-rate maximization problem, subject to a fixed transmit power constraint, and the sum-power minimization problem, subject to a fixed rate constraint. The capacity and signal-to-noise ratio (SNR) regions for the OSDM system are also derived, and results for dirty-paper coding (DPC) and time-division systems are provided for comparison.read more
Citations
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Proceedings ArticleDOI
Convergence analysis of downlink MIMO antenna systems using second-order cone programming
TL;DR: In this paper, the sum-power minimization of a downlink multiuser MIMO system subject to individual signal-to-interference plus noise ratio (SINR) constraints from the users is studied.
Proceedings ArticleDOI
WLC11-5: Joint Power Control and Beamforming for Sum-Rate Maximization in Multiuser MIMO Downlink Channels
TL;DR: This paper addresses the problem of maximizing the sum-rate with a total power constraint for a multiuser multiple-input multiple-output (MIMO) antenna system in the downlink using generalized beamforming with an iterative approach which alternates between optimizing the power allocation, transmit antenna vectors and receive antenna vectors.
Proceedings ArticleDOI
Transmit Beamforming Optimization for Multiuser MIMO Uplink Using Successive Interference Cancellation
TL;DR: Simulation results show that performance of the low-complexity recursive algorithm is comparable to that of the iterative algorithm and both algorithms are near optimal.
Proceedings ArticleDOI
Throughput Maximization in Multiuser MIMO Downlink with Individual QoS Constraints
TL;DR: Simulation results demonstrate that this algorithm can substantially increase the throughput compared with a zero-forcing solution (GZF) and at the same time it can guarantee the individual users' transmission rates.
Proceedings Article
Precoding Schemes for the Downlink of a Multiuser Communication System
Amir D. Dabbagh,David J. Love +1 more
TL;DR: It is shown that given any user ordering the achievable throughput is asymptotically optimal in the high signal-to-noise ratio (SNR) regime and for all values of the SNR it improves over the throughput of the zero-forcing dirty-paper coding (ZFDPC) scheme.
References
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Journal ArticleDOI
Writing on dirty paper (Corresp.)
TL;DR: It is shown that the optimal transmitter adapts its signal to the state S rather than attempting to cancel it, which is also the capacity of a standard Gaussian channel with signal-to-noise power ratio P/N.
Journal ArticleDOI
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
TL;DR: It is shown that the dirty paper achievable region achieves the sum-rate capacity of the MIMO BC by establishing that the maximum sum rate of this region equals an upper bound on the sum rate.
Journal ArticleDOI
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
Lai-U Choi,Ross D. Murch +1 more
TL;DR: A transmit preprocessing technique for the downlink of multiuser multiple-input multiple-output (MIMO) systems is introduced and results demonstrate the potential of the technique in terms of performance and capacity.
Journal ArticleDOI
Sum capacity of Gaussian vector broadcast channels
Wei Yu,John M. Cioffi +1 more
TL;DR: The sum capacity of a class of potentially nondegraded Gaussian vector broadcast channels where a single transmitter with multiple transmit terminals sends independent information to multiple receivers is characterizes to be a saddle-point of a Gaussian mutual information game.
Journal ArticleDOI
Generalized multiuser orthogonal space-division multiplexing
TL;DR: This paper addresses the problem of performing orthogonal space-division multiplexing for downlink, point-to-multipoint communications when multiple antennas are utilized at the base station and all mobile stations by devise an iterative algorithm that finds the multiuser antenna weights for OSDM in downlink or broadcast channels.