Joint Hybrid Precoder and Combiner for Wideband Millimeter-Wave Massive MIMO Systems

Hybrid precoding and combining is a key technique to provide an appropriate antenna gain in millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In wideband mmWave channels, the analog precoder and combiner is designed in the time domain and remain unchanged over the whole...

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Vydáno v:IEEE access Ročník 8; s. 196375 - 196385
Hlavní autoři: Mir, Talha, Abbasi, Ubaid, Ali, Raza, Hussain, Syed Mudassir, Mir, Usama
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antenna gain
Artificial intelligence
Bandwidths
Broadband
Channel models
Complexity theory
Hybrid precoding
Hybrid systems
Massive MIMO
Millimeter waves
millimeter-wave
MIMO (control systems)
OFDM
Precoding
Radio equipment
Radio frequency
Searching
Subcarriers
Wideband
ISSN:2169-3536, 2169-3536
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Shrnutí:Hybrid precoding and combining is a key technique to provide an appropriate antenna gain in millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In wideband mmWave channels, the analog precoder and combiner is designed in the time domain and remain unchanged over the whole bandwidth. In contrast, digital precoders and combiners are optimized on a per-subcarrier basis which makes the resultant problem very difficult. To solve this problem, we combine the well-known turbo-equalizer with the tabu-search (TS)-algorithm developed in artificial intelligence and propose TS-based joint hybrid precoding and combining scheme to intelligently search the near-optimum pair of hybrid precoder and combiner. Specifically, our scheme consists of two key steps. At first, a base station (BS) and a mobile station (MS) develop the turbo-like (TL)-joint search by using the idea of iterative information exchange between them. Then, to find out the near-optimum pair of hybrid precoder and combiner in each iteration of the TL-joint search, the TS-algorithm is employed. Simulation results are shown to verify the significant sum-rate performance of the proposed solution with low-complexity compared to some existing solutions.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3033055