Limited Feedback in Single and Multi-user MIMO Systems with Finite-Bit ADCs
نویسندگان
چکیده
Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter and receiver. This paper presents codebook designs and performance analyses for limited feedback MIMO systems with finite-bit ADCs. A point-to-point single-user channel is firstly considered. When the received signal is sliced by 1-bit ADCs, the absolute phase at the receiver is important to align the phase of the received signals. A new codebook design for beamforming, which separately quantizes the channel direction and the residual phase, is therefore proposed. For the multi-bit case where the optimal transmission method is unknown, suboptimal Gaussian signaling and eigenvector beamforming is assumed to obtain a lower bound of the achievable rate. It is found that to limit the rate loss, more feedback bits are needed in the medium SNR regime than the low and high SNR regimes, which is quite different from the conventional infinite-bit ADC case. Second, a multiuser system where a multiple-antenna transmitter sends signals to multiple single-antenna receivers with finite-bit ADCs is considered. Based on the derived performance loss due to finite-bit ADCs and finitebit CSI feedback, the number of bits per feedback should increase linearly with the ADC resolution in order to restrict the rate loss.
منابع مشابه
Successive Cancellation Soft Output Detector For Uplink MU-MIMO Systems With One-bit ADCs
In this paper, we present a successive-cancellationsoft-output (SCSO) detector for an uplink multiuser multipleinput-multiple-output (MU-MIMO) system with one-bit analogto-digital converters (ADCs). The proposed detector produces soft outputs (e.g., log-likelihood ratios (LLRs)) from one-bit quantized observations in a successive way: each user k’s message is sequentially decoded from a channel...
متن کاملA Low-Complexity Soft-Output wMD Decoding for Uplink MIMO Systems with One-Bit ADCs
This paper considers an uplink multiuser multipleinput-multiple-output (MU-MIMO) system with one-bit analogto-digital converters (ADCs), in which K users with a single transmit antenna communicate with one base station (BS) with Nr receive antennas. In this system, a novel MU-MIMO detection method, named weighted minimum distance (wMD) decoding, was recently proposed, as a practical approximati...
متن کاملUplink Multiuser Massive MIMO Systems with Low-Resolution ADCs: A Coding-Theoretic Approach
This paper considers an uplink multiuser massive multiple-input multiple-output (MIMO) system with lowresolution analog-to-digital converters (ADCs), in which K users with a single-antenna communicate with one base station (BS) with Nr antennas. In this system, we present a novel multiuser MIMO detection framework that is inspired by coding theory. The key idea of the proposed framework is to c...
متن کاملEfficient Feedback for Precoder Design in Single- and Multi-User MIMO Systems
Recently several researchers have proposed downlink precoding to enhance the performance of multiple-input, multiple-output (MIMO) systems. Precoding has been used, for example, to transmit multiple data streams to the same user, data streams to multiple users and/or to improve the diversity order on a single data transmission. These schemes, proposed for singleand multi-user scenarios, combine...
متن کاملAdaptive Consensus Control for a Class of Non-affine MIMO Strict-Feedback Multi-Agent Systems with Time Delay
In this paper, the design of a distributed adaptive controller for a class of unknown non-affine MIMO strict-feedback multi agent systems with time delay has been performed under a directed graph. The controller design is based on dynamic surface control method. In the design process, radial basis function neural networks (RBFNNs) were employed to approximate the unknown nonlinear functions. S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1704.04365 شماره
صفحات -
تاریخ انتشار 2017