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A receiver design problem for multi-access space-time block coded multiple-input multiple-output systems is considered. To hedge the mismatch between the true and the estimated channel state information (CSI), several robust receivers have been developed in the past decades. Among these receivers, the Gaussian robust receiver has been shown to be superior in performance. This receiver is designed...
In this paper, we focus on the problem of energy-efficient power allocation for secure transmission in massive multiple-input multiple-output (MIMO) systems, where an active multi-antennas eavesdropper sends pilot signals as that of destination receiver to transmitter simultaneously in the uplink training phase. Our aim is to maximize the energy efficiency (EE) of the system by considering the power...
Interference alignment with limited feedback can achieve the wireless channel's maximum multiplexing gain with a error-free low-rate channel state information (CSI) feedback channel. Most interference alignment schemes are designed under the assumption of block-fading channel model in which channels remain static for a period but vary independently from block to block. This assumption ignores the...
In this paper, we propose a novel interference alignment (IA) scheme via convex optimization based on minimum mean square error criterion subject to individual transmit power constraints for the MIMO interference channel system. We show that transceiver under such criterion can be realized through an efficient iterative algorithm. The convergence of the proposed algorithm is discussed. Simulation...
Interference can be aligned in either vector space (MIMO) or signal scale (lattice). Existing literatures on interference alignment treat these two approaches separately. In this paper, a unified design framework of interference suppression is proposed for interference channel, where both vector alignment and lattice alignment are considered jointly. The framework could adapt the interference alignment...
How to achieve the closed-loop processing gain is an important issue for frequency division duplexing (FDD) based multi-input multi-output (MIMO) systems, since the channel state information (CSI) is not available by reciprocity as time division duplexing (TDD). Current technique mainly uses the codebook based precoding, where the receiver feeds back the precoding matrix index (PMI) of the codebooks...
In this paper, we propose a novel iterative interference alignment (IA) scheme for the single-input single-output (SISO) interference channel system using minimum total mean square error criterion under the individual transmitter power constraints. We show that interference alignment under such criterion could be realized through an iterative algorithm. The convergence of the proposed algorithm is...
In this paper, we propose a new interference alignment (IA) scheme designing jointly the linear transmitter and receiver for the MIMO interference channel system, using minimum total mean square error criterion, subject to individual transmit power constraints. We show that transmitter and receiver under such criterion could be realized through a joint iterative algorithm. The convergence of the proposed...
In this paper, we propose a new interference alignment (IA) scheme designing jointly the linear transmitter and receiver for the 2 user MIMO X channel system, using minimum total mean square error criterion, subject to each transmitter power constraint. Considering the channel estimation errors, we further propose a robust design for the IA. Iterative method is used to obtain the optimal solutions...
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