Joint transmitter receiver diversity for efficient space division multiaccess

Chang, Jeng‐Shian; Tassiulas, Leandros; Rashid-Farrokhi, F.

doi:10.1109/7693.975441

Cited by 146 publications

(93 citation statements)

References 12 publications

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“…Two of the earliest and most significant results were the distributed power control (DPC) algorithm [2] and the standard interference function framework for analyzing iterative power control systems [3]. The DPC algorithm, together with uplink-downlink duality [4], was extensively applied in alternate optimization approaches to derive optimal algorithms for the MISO problem [5]- [7], and suboptimal algorithms for the MIMO problem [8], [9]. In a completely different approach, the authors in [1] showed that the standard interference function framework can also be used to solve the MISO problem.…”

mentioning

confidence: 99%

“…The earliest strategy proposed to solve the max-min weighted SINR power control problem was the extended coupling matrix approach [10]. Unfortunately, this approach, when extended to the MISO/MIMO problems via alternate optimization [8], [11]- [15], required a centralized power update involving an eigenvector computation. Recently, the authors in [16] and [17] derived a different algorithm for the max-min weighted SINR power control problem.…”

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confidence: 99%

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A Unified Analysis of Max-Min Weighted SINR for MIMO Downlink System

Cai

Quek

Tan

2011

IEEE Trans. Signal Process.

123

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Abstract-This paper studies the max-min weighted signal-to-interference-plus-noise ratio (SINR) problem in the multipleinput-multiple-output (MIMO) downlink, where multiple users are weighted according to priority and are subject to a weighted-sum-power constraint. First, we study the multiple-input-single-output (MISO) and single-input-multipleoutput (SIMO) problems using nonlinear Perron-Frobenius theory. As a by-product, we solve the open problem of convergence for a previously proposed MISO algorithm by Wiesel, Eldar, and Shamai in 2006. Furthermore, we unify our analysis with respect to the previous alternate optimization algorithm proposed by Tan, Chiang, and Srikant in 2009, by showing that our MISO result can, in fact, be derived from their algorithm. Next, we combine our MISO and SIMO results into an algorithm for the MIMO problem. We show that our proposed algorithm is optimal when the channels are rank-one, or when the network is operating in the low signal-to-noise ratio (SNR) region. Finally, we prove the parametric continuity of the MIMO problem in the power constraint, and we use this insight to propose a heuristic initialization strategy for improving the performance of our (generally) suboptimal MIMO algorithm. The proposed initialization strategy exhibits improved performance over random initialization.Index Terms-Beamforming, multiple-input-multiple-output (MIMO), uplink-downlink duality.

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confidence: 99%

mentioning

confidence: 99%

A Unified Analysis of Max-Min Weighted SINR for MIMO Downlink System

Cai

Quek

Tan

2011

IEEE Trans. Signal Process.

123

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“…While this procedure is simple and sub-optimal, we shall see that it provides good results. This algorithm falls under the general class of greedy "alternate & maximize" algorithms, e.g., [18], and is similar to the iterative water-filling algorithm in [19], which dealt with the sum rate maximization over different orthogonal sub-carriers in DSL systems with cross-talk.…”

Section: Controlled Iterative Singular Value Decomposition (Cisvd)mentioning

confidence: 99%

On the Fundamentally Asynchronous Nature of Interference in Cooperative Base Station Systems

Zhang

Mehta

Molisch

et al. 2007

2007 IEEE International Conference on Communications

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Abstract-Cooperative transmission by base stations can significantly improve the spectral efficiency of multiuser, multi-cell multiple input multiple output systems. We show that in such systems the multiuser interference is asynchronous by nature, even when perfect timing-advance mechanisms ensure that the desired signal components arrive synchronously. We establish an accurate mathematical model for the asynchronism, and use it to show that the asynchronism leads to a significant performance degradation of existing linear precoding designs that assumed synchronous interference. We consider three different previously proposed precoding designs, and show how to modify them to effectively mitigate asynchronous interference.

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“…The minimum variance distortionless response beamformer [23,33] can adjust the array weights properly such that the sum of interference and noise is minimized. The normalized receive beamformer at mth receiving node is…”

Section: System Model and Conceptsmentioning

confidence: 99%

Joint iterative beamforming and power adaptation for MIMO ad hoc networks

Zeydan

Kivanc

Tureli

et al. 2011

J Wireless Com Network

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In this paper, we present distributed cooperative and regret-matching-based learning schemes for joint transmit power and beamforming selection for multiple antenna wireless ad hoc networks operating in a multi-user interference environment. Under the total network power minimization criterion, a joint iterative approach is proposed to reduce the mutual interference at each node while ensuring a constant received signal-to-interference and noise ratio at each receiver. In cooperative and regret-matching-based power minimization algorithms, transmit beamformers are selected from a predefined codebook to minimize the total power. By selecting transmit beamformers judiciously and performing power adaptation, the cooperative algorithm is shown to converge to a pure strategy Nash equilibrium with high probability in the interference impaired network. The proposed cooperative and regret-matching-based distributed algorithms are also compared with centralized solutions through simulation results.

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Joint transmitter receiver diversity for efficient space division multiaccess

Cited by 146 publications

References 12 publications

A Unified Analysis of Max-Min Weighted SINR for MIMO Downlink System

A Unified Analysis of Max-Min Weighted SINR for MIMO Downlink System

On the Fundamentally Asynchronous Nature of Interference in Cooperative Base Station Systems

Joint iterative beamforming and power adaptation for MIMO ad hoc networks

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