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This paper studies adaptive coordinated control of device-to-device (D2D) communications underlaying a cellular network with a multi-antenna base station (BS). We analyze the performance of cellular and D2D users under the channel imperfections including both quantization error and feedback delay. More specifically, we derive the received signal-to-interference-and-noise ratio (SINR) distributions...
System performance analysis of interference alignment (IA) with limited feedback is studied in this paper. Unlike prior studies which assumed the base station to be deployed at fixed location, this paper assumes the base station to be deployed at a random location in Poisson field. Firstly, The base stations are distributed as a spatial homogeneous Poisson point process in poisson field. Then, random...
In this paper, the optimal allocation scheme of feedback bits between horizontal channel quantization and vertical channel quantization is proposed in three-dimensional (3D) multiple-input multiple-output (MIMO) systems with limited feedback. The goal of the proposed scheme is allocating more bits to quantize the channel dimension with stronger gains. Through comparing the gains of horizontal channel...
In this paper, the optimal feedback bits allocation scheme between horizontal channel quantization and vertical channel quantization is proposed in three-dimensional (3D) multiple-input multiple-output (MIMO) systems with limited feedback. The proposed scheme aims to allocate more bits to quantize the channel dimension with stronger gains. The feedback bits allocation is studied by comparing the gains...
Interference alignment (IA) is a scheme to approach the capacity at high signal-to-noise ratio (SNR) in multiuser multiple-input multiple-output (MIMO) interference networks. To implement the IA scheme in a frequency-division duplexing (FDD) system, transmitter channel state information (CSIT) is fed back from the receiver with finite bits. However, such CSIT is subject to quantization errors and...
In this paper, we propose a delay-tolerant limited feedback algorithm for single-input single-output (SISO) interference alignment. The temporal correlation and band limitation of the time-selective fading process is exploited to model the channel impulse response with a low-dimensional basis expansion. The algorithm tracks and feeds back the evolution of the basis expansion coefficients on the Grassmannian...
Concerning the reconstruction quality, phase-shifting scheme has been proved to be efficient for digital holography. As a benefit from three differently phased reference waves, the reconstructed object image does no longer suffer from the zero-order image or twin image. In order to reduce the obvious storage and transmission burden brought in by extra holograms, in this paper, vector quantization...
In this paper, we propose two kinds of interference alignment (IA) schemes with limited feedback for the two-cell interfering multi-user multiple-input multiple-output multiple access channel (MIMO-MAC). Since IA with limited feedback results in residual interference for the quantization error, more effective schemes are introduced to reduce the residual interference in this paper compared with the...
Obtaining accurate global channel state information (CSI) is critical for interference alignment (IA), in particular for multiple-input multiple-output (MIMO) system with high dimensional space. With limited feedback, a quantization approach is proposed with manageable complexity to quantize the vectors from channel matrices separately. By characterizing the rate loss and bit scaling requirement we...
In this paper, we consider opportunistic feedback of channel state information (CSI) for multi-user multi-antenna transmission. The base station utilizes channel quality information (CQI) as the CSI for closed-loop multi-antenna transmission, which is often achieved from mobile stations in a quantized format. However, only the use of quantized CQI may noticeably deteriorate the transmission performance...
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