Linear Precoder Optimization for MIMO Systems with Joint Power Constraints

Dai, Jisheng; Chang, Chunqi; Xu, Weichao; Ye, Zhongfu

doi:10.1109/tcomm.2012.061112.110009

Cited by 41 publications

(26 citation statements)

References 32 publications

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“…Simulation results demonstrate the effectiveness of our method. For future work, it will be interesting to see if one can extend the method to the case of joint power constraints [13,14].…”

Section: Discussionmentioning

confidence: 99%

Power allocation for maximizing the MAC capacity via majorization

Dai

Chang

2014

EURASIP J. Adv. Signal Process.

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Optimal power allocation for maximizing the sum capacity of multiple access channel (MAC) with quality-of-service (QoS) constraints is investigated in this paper. Majorization theory is the underlying mathematical theory on which our method hinges. It is shown that the optimal structure of the solution can be easily obtained via majorization theory. Furthermore, based on our new approach, an efficient searching method for power allocation is developed by restricting the attention to a new searching variable. Our new method requires less than half of the computational cost of the existing method in the worst case and is even much faster in general. Simulation results demonstrate the effectiveness of our method.

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“…Simulation results demonstrate the effectiveness of our method. For future work, it will be interesting to see if one can extend the method to the case of joint power constraints [13,14].…”

Section: Discussionmentioning

confidence: 99%

Power allocation for maximizing the MAC capacity via majorization

Dai

Chang

2014

EURASIP J. Adv. Signal Process.

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“…Although the closed-form solutions of the optimization problem given by (17) have been obtained, the power allocation matrix of the optimal precoder should be solved through iterative water-filling, which arises high computational complexity at BS, especially with numerous MUs. For some special scenarios, we can adopt simple algorithms to achieve optimal or near optimal performance, which promise our proposed transmission schemes more feasible.…”

Section: The Special Transmission Scenariosmentioning

confidence: 99%

“…Specifically, linear precoding mainly includes transmission direction selection in spatial domain and power allocation under a given constraint based on the available CSI [15]- [17]. In [18], the transmitter beamforming scheme combining adaptive modulation based on the full CSI is proposed for the space-time block coded OFDM.…”

Section: Introductionmentioning

confidence: 99%

Statistical Precoder Design for Space-Time-Frequency Block Codes in Multiuser MISO-MC-CDMA Systems

Chen

Wang

2016

IEEE Systems Journal

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Abstract-In this paper, we present a space-time-frequency joint block coding (STFBC) scheme to exploit the essential space-time-frequency degrees of freedom of multiuser MISO-MC-CDMA systems. Specifically, we use a series of orthogonal random codes to spread the space time code over several subcarriers to obtain multi-diversity gains, while multiuser parallel transmission is applied over the same sub-carriers by making use of multiple orthogonal code channels. Furthermore, to improve the system performance, we put forward to linear precoding to the predetermined orthogonal STFBC, including transmitting directions selection and power allocation over these directions. We propose a precoder design method by making use of channel statistical information in time domain based on the Kronecker correlation model for the channels, so feedback amount can be decreased largely in multi-carrier systems. In addition, we give the performance analysis from the perspectives of diversity order and coding gain, respectively. Moreover, through asymptotic analysis, we derive some simple precoder design methods, while guaranteeing a good performance. Finally, numerical results validate our theoretical claims.

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“…The objective of this letter is to maximize the achievable data rate subject to the joint power constraint imposed on both sum-power and maximum eigenvalue. Note that the maximum eigenvalue constraint that limits the maximum eigenvalue of precoding matrix is a simple way to control per-antenna power [4], [5]. The corresponding optimization problem under the joint constraint is formulated as…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Note that the maximum eigenvalue constraint that limits the maximum eigenvalue of precoding matrix is a simple way to control per-antenna power [4], [5]. We aim at extending the Homotopy-type approach [5], [6] to point-to-point MIMO systems under imperfect CSI, where we will propose a novel approach to maximize the achievable data rate (capacity) subject to the joint power constraint. Making use of the piecewise linear property between power allocations and sum-power, we derive a piecewise linear algorithm to obtain the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Robust Piecewise Linear Algorithm for Point-to-Point MIMO Systems

Dai

Bao

2015

IEEE Wireless Commun. Lett.

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This letter considers a robust linear precoder optimization problem for point-to-point multiple-input multiple-output (MIMO) systems with imperfect channel state information (CSI), subject to a joint power constraint imposed on both sum-power and maximum eigenvalue power. Making use of the piecewise linear property between power allocations and sum-power, we derive a piecewise linear algorithm to obtain the optimal solution. As the optimal solution can be expressed analytically in terms of at most 2M candidates (M is the number of transmit antennas) whose expressions are all in closed forms, the proposed method can provide an exact closed-form solution.Index Terms-Multiple-Input Multiple-Output (MIMO), imperfect channel state information (CSI), homotopy method, piecewise linear method. Manuscript

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Linear Precoder Optimization for MIMO Systems with Joint Power Constraints

Cited by 41 publications

References 32 publications

Power allocation for maximizing the MAC capacity via majorization

Power allocation for maximizing the MAC capacity via majorization

Statistical Precoder Design for Space-Time-Frequency Block Codes in Multiuser MISO-MC-CDMA Systems

Robust Piecewise Linear Algorithm for Point-to-Point MIMO Systems

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