Nash non-cooperative power game can be effectively used to find the power equilibrium point to enhance edge user throughput in downlink multi-user multiple-input multiple-output (MU-MIMO) wireless networks. However, t...
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ISBN:
(纸本)9781509059355
Nash non-cooperative power game can be effectively used to find the power equilibrium point to enhance edge user throughput in downlink multi-user multiple-input multiple-output (MU-MIMO) wireless networks. However, the power strategy space of the existing Nash non-cooperative power games are generally statically pre-determined without adapting to the changing wireless environment. To address this problem, we explore a novel framework of Nash non-cooperative power game with dynamic and environment-adaptive power strategy space. Then, we propose a non-cooperative water-filling power game with pricing (WFPGP), wherein the power strategy space is dynamically determined by iterative water-filling algorithm. We derive the sufficient condition for the existence and uniqueness of the WFPGP game which can be implemented in a distributed manner. Simulation results are used to compare the performance of WFPGP with the other Nash non-cooperative power games and confirm the stable and superior performance advantages of WFPGP.
This paper proposes a robust transceiver design against the effect of channel state information (CSI) estimation error to optimize precoded uplink (UL) multi-user multiple-input multiple-output (MU-MIMO) transmission ...
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This paper proposes a robust transceiver design against the effect of channel state information (CSI) estimation error to optimize precoded uplink (UL) multi-user multiple-input multiple-output (MU-MIMO) transmission in limited feedback system under the consideration of the least-square technique on CSI estimation. To improve this limited feedback precoding, the constrained minimum variance (MV) approach with quadratic form to realize the computationally-efficient optimization problem, advantageously invoking the characteristics of the CSI estimation error, is proposed to suppress the effect of CSI estimation error, multipleuser interference and noise. According to the Lagrange multiplier method on this MV approach, the deterministic function to resist uncertain CSI can be obtained to optimize design of the precoder and adaptive matrices jointly. With these optimum adaptive and precoder matrices, an optimum robust weighting matrix can be obtained to facilitate the user-wise detection in precoded UL MU-MIMO system. Performance analysis shows that the proposed robust weighting matrix is an unbiased design and it also can regularize the diagonal loading factor technique, and the detection performance of the proposed robust transceiver design can be predicted simplistically by applying our derived signal-to-interference-plus-noise ratio formulation. Computer simulations are conducted to confirm the efficacy of the proposed design in both perfect and imperfect CSI estimation.
In this letter we propose an efficient near-optimal detection scheme (that makes use of a generalized sphere decoder (GSD)) for blind multi-user multiple-input multiple-output (MU-MIMO) systems. In practical MU-MIMO s...
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In this letter we propose an efficient near-optimal detection scheme (that makes use of a generalized sphere decoder (GSD)) for blind multi-user multiple-input multiple-output (MU-MIMO) systems. In practical MU-MIMO systems, a receiver suffers from interference because the precoding matrix, the result of the precoding technique used, is quantized with limited feedback and is thus imperfect. The proposed scheme can achieve near-optimal performance with low complexity by using a GSD to detect several additional interference signals. In addition, the proposed scheme is suitable for use in blind systems.
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