Abstract
Aiming at the problem of computational complexity of channel estimation, this paper proposes a low-complexity block matching pursuit (BMP) algorithm based on antenna grouping and block sparsity for frequency division duplex (FDD) massive Multiple-input Multiple-output orthogonal frequency division multiplexing (OFDM) systems. The system coherence time may be exceeded as a result of time consumption when adopting an orthogonal pilot symbol in the time domain. To solve this problem, an antenna grouping transmission scheme is proposed to reduce the total channel estimation time by sacrificing the observed data length. The simulation results show that the proposed BMP algorithm has good anti-noise performance, and it can accurately determine the non-zero position of the sparse vector and adaptively determine the sparsity of the channel, which effectively translates to improved channel estimation performance and better overall system performance than the existing algorithms.
Highlights
Massive MIMO is an emerging technology with potential spatial dimension resources by providing multiple antenna arrays at the base station with several orders of magnitude higher than existing multi-antenna systems, e.g., fourth-generationLong-Term Evolution-Advanced (LTE-A) [1,2,3]
It is worth noting that these performance enhancements caused by massive MIMO technology are based on the premise that the base station (BS) obtains good channel state information (CSI) [6,7,8,9], and channel estimation, as an important part of acquiring CSI, will affect the performance of the entire system
A low-complexity block matching pursuit (BMP) algorithm based on antenna grouping and block sparsity is proposed for frequency division duplex (FDD) massive MIMO-orthogonal frequency division multiplexing (OFDM) systems
Summary
Massive MIMO is an emerging technology with potential spatial dimension resources by providing multiple antenna arrays (tens to hundreds or even thousands of antennas) at the base station with several orders of magnitude higher than existing multi-antenna systems, e.g., fourth-generation. The length of the orthogonal pilot sequence will be proportional to the number of BS antennas, resulting in huge system overhead, which will cause huge waste of effective information transmission of the system [8] This is an important reason for many researchers have put the main research into the TDD system at the beginning of the massive MIMO technology [9,10,11,12]. CSI acquisition in massive MIMO FDD systems faces great difficulties, researchers have studied different aspects such as channel estimation scheme, pilot signal, quantization feedback, and precoding design, and obtained some preliminary results [10,11,12,13,14,15,16].
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