Topic
MIMO-OFDM
About: MIMO-OFDM is a research topic. Over the lifetime, 9037 publications have been published within this topic receiving 157233 citations. The topic is also known as: Multiple input, multiple output-orthogonal frequency division multiplexing.
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15 Apr 2015
TL;DR: This paper proposes an alternative, practical technique, called Per-Group Precoding (PGP), which groups together multiple input symbol streams and corresponding receiving branches in the “virtual” channel domain, and thus results in independent transmitting/receiving streams between groups.
Abstract: In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems employing Low-Density Parity-Check (LDPC) codes is addressed under the constraint of independent receiving virtual antenna output groups, thus reducing the relevant transmitter and receiver complexities. Our approach constitutes an interesting generalization of Bit-Interleaved Coded Multiple Beamforming (BICMB) which has shown many benefits in MIMO systems. After examining the properties associated with independent output grouping, we proceed to propose an alternative, practical technique, called Per-Group Precoding (PGP), which groups together multiple input symbol streams and corresponding receiving branches in the “virtual” channel domain (after singular value decomposition of the original MIMO channel), and thus results in independent transmitting/receiving streams between groups. We show with numerical results that PGP offers almost optimal performance, albeit with significant reduction both in the precoder optimization and LDPC EXIT chart based decoding complexities.
01 Jan 2013
TL;DR: The goal of this paper is to analyze the statistical properties of coarse synchronization for MIMO-OFDM with distributed antenna system, and defines the coarse synchronization metric function at the receiver and calculates its mean and variance.
Abstract: Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is one of the key technologies in the next generation broadband wireless communication systems. It is very sensitive to coarse synchronization. With the distributed architecture, the coarse synchronization becomes more difficult and more complex. The goal of this paper is to analyze the statistical properties of coarse synchronization for MIMO-OFDM with distributed antenna system. It defines the coarse synchronization metric function (autocorrelation synchronization metric function) at the receiver and calculates its mean and variance. Finally, the statistical properties of coarse synchronization are examined by their applications to several existing algorithms.
27 Sep 2012
TL;DR: A dynamic-programming-based algorithm is proposed to find the maximum capacity of system in a global manner after partitioning the available power into schedulable equal pieces and significantly outperform the lowest channel gain method as well as the previous works.
Abstract: Orthogonal frequency division multiplexing (OFDM) is regarded as a promising technique for the next generation wireless networks. In OFDM system, transmitter can provide high data rates by dividing channels into multiple orthogonal subcarriers and then allocates them to different users. But in the field of multicast, the conventional method ignores the differences of the channel condition between the users and therefore forces the modulation be adjusted to serve the worst user. The unique contribution of our work is to maximize the total throughput in a time efficient manner. In this paper, we propose a dynamic-programming-based algorithm to find the maximum capacity of system in a global manner after partitioning the available power into schedulable equal pieces. Experimental results demonstrate the effectiveness and efficiency of the proposed algorithm, the system throughput gap between the proposed dynamic-programming-based algorithm and the optimal algorithm is within about 2%, and significantly outperform the lowest channel gain method as well as the previous works.
01 Jan 2020
TL;DR: The work focuses on the QR-RLS based channel estimation method for MIMO-OFDM systems, which provides reduce mean square error (MSE) and bit error rate (BER) compared to previous channel estimation technique.
Abstract: Next generation mobile systems will use multiple antennas at the transmitter and receiver to achieve higher capacity and diversity gain at high speeds. By transmitting through multiple transmitting and receiving antennas, multiple wireless data pipes are created. A transmitted signal while propagating through the wireless channel undergoes multipath fading effect accompanied by noise and interference. Mitigation of these effects and increase in throughput is only possible if the channel is accurately estimated at the receiver in order to perform channel estimation. Depending on slow/fast channel fading conditions, several authors suggested adaptive LMS, RLS, and NLMS based channel estimators, which either require statistical information of the channel or are not efficient enough in terms of performance or computations. In order to overcome the above effects, the work focuses on the QR-RLS based channel estimation method for MIMO-OFDM systems. The proposed algorithm based on QR-RLS channel estimation technique provide reduce mean square error (MSE) and bit error rate (BER) compared to previous channel estimation technique.