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Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System

Minhoe Kim, Woongsup Lee, Dong-Ho Cho
<span title="2020-11-04">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
In this paper, we investigate a deep learning based resource allocation scheme for massive multiple-input-multiple-output (MIMO) communication systems, where a base station (BS) with a large scale antenna  ...  In particular, we propose Deep Scanning, in which a near-optimal beamforming vector can be found based on deep Q-learning.  ...  In Reference [7] , which is improved from Reference [8] , two stage beamforming scheme is replaced with two separate neural network blocks, where each network works as antenna selection and RF chain  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics9111844">doi:10.3390/electronics9111844</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fdhjwucmjeizks6pzvcdzphfm">fatcat:2fdhjwucmjeizks6pzvcdzphfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106174959/https://res.mdpi.com/d_attachment/electronics/electronics-09-01844/article_deploy/electronics-09-01844.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/91/91912c05a7b130b309be4f209ff0c5def84f8636.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics9111844"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation [article]

Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S.H. Song, Khaled B. Letaief
<span title="2021-08-03">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose a deep learning-based approach that directly optimizes the beamformers at the base station according to the received uplink pilots, thereby, bypassing the explicit channel estimation  ...  Channel estimation and beamforming play critical roles in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems.  ...  CONCLUSIONS In this paper, we developed a neural calibration-based method for downlink beamforming in FDD massive MIMO systems with implicit channel estimation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.01529v1">arXiv:2108.01529v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5hio52yujnf33hjdvu6ca2buxa">fatcat:5hio52yujnf33hjdvu6ca2buxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210805130622/https://arxiv.org/pdf/2108.01529v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/c5/eec5e8851bfe36459bb6d25c197b8defdde53601.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.01529v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization [article]

Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu
<span title="2020-10-30">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
All three functionalities of D-ASR: localization, separation, and recognition are connected as a single differentiable neural network and trained solely based on ASR error minimization objectives.  ...  This paper proposes a new paradigm for handling far-field multi-speaker data in an end-to-end neural network manner, called directional automatic speech recognition (D-ASR), which explicitly models source  ...  In MIMO-Speech as the spectral masks are estimated directly, it is hard for the network to learn this without reference signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.00091v1">arXiv:2011.00091v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqsrk76mt5dtrkto7mfeuz6sxa">fatcat:iqsrk76mt5dtrkto7mfeuz6sxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201105213745/https://arxiv.org/pdf/2011.00091v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/79/6f79cbe893ae46a6f97617d14656ab57c26e6faf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.00091v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learn to Communicate with Neural Calibration: Scalability and Generalization [article]

Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S.H. Song, Khaled B. Letaief
<span title="2021-10-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose a scalable and generalizable neural calibration framework for future wireless system design, where a neural network is adopted to calibrate the input of conventional model-based  ...  The proposed neural calibration framework is applied to solve challenging resource management problems in massive multiple-input multiple-output (MIMO) systems.  ...  In [14] , a deep unfolding neural network based on the structure of the WMMSE algorithm was developed for precoding in massive MIMO systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.00272v1">arXiv:2110.00272v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/crnamzjrkjhsbguckek6s2adc4">fatcat:crnamzjrkjhsbguckek6s2adc4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211005062144/https://arxiv.org/pdf/2110.00272v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a1/37/a13754259ef349f21640fb327e70f36ee081101e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.00272v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional Beamformer

Tomohiro Nakatani, Keisuke Kinoshita
<span title="2019-09-15">2019</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2019</a> </i> &nbsp;
In addition, for both algorithms, the desired signal's relative transfer function (RTF) is estimated by online processing using a neural network based online mask estimation.  ...  We derive two different online algorithms, one based on frame-by-frame recursive updating of the spatio-temporal covariance matrix of the captured signal, and the other on recursive least square estimation  ...  In the experiments, we use a neural network for the online estimation of the masks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2019-1286">doi:10.21437/interspeech.2019-1286</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/NakataniK19.html">dblp:conf/interspeech/NakataniK19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/amgii3k42fe4xilpnxbj6d3r3m">fatcat:amgii3k42fe4xilpnxbj6d3r3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211205161029/https://www.isca-speech.org/archive/pdfs/interspeech_2019/nakatani19_interspeech.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/16/de/16de39f99bb2b9655c899a8f028d0cf4da9bc113.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2019-1286"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems [article]

Alireza Morsali, Afshin Haghighat, Benoit Champagne
<span title="2021-07-30">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Exploiting the fact that any complex matrix can be written as a scaled sum of two matrices with unit-modulus entries, a novel analog deep neural network (ADNN) structure is first developed which can be  ...  In this paper, we present a general deep learning (DL) framework for efficient design and implementation of HSP-based massive-MIMO systems.  ...  The network parameters are randomly initialized and subsequently adjusted by means of an iterative process in two-steps: 1) the output of the network is first calculated for each mini-batch (forward propagation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.14704v1">arXiv:2107.14704v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xjko6eioizf2rjiijvyzlz4b5i">fatcat:xjko6eioizf2rjiijvyzlz4b5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210803051905/https://arxiv.org/pdf/2107.14704v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/3b/6e3b2aacc496b195166f8c35746edd78307b097a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.14704v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Successive Interference Cancellation using LSTM in MIMO

Raushan Kumar, Dr. Nikhil Ranjan
<span title="2021-12-28">2021</span> <i title="Smart Moves"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f6stiz4i3fdudmhdc33nkhy2jy" style="color: black;">SMART MOVES JOURNAL IJOSCIENCE</a> </i> &nbsp;
And since the antenna is sending signals, evaluating the noise in a noisy channel is essential.  ...  OFDM (orthogonal frequency division multiplexing) is a wireless network methodology that sends multiple data streams across a particular channel while effectiently handling inter-symbol interference and  ...  INTRODUCTION Signal analysis refers to the process of condensing measured data in order to retrieve data about a distanced natural condition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v7i12.450">doi:10.24113/ijoscience.v7i12.450</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ukq7uwyybdxbdg5l6g7wofnkm">fatcat:6ukq7uwyybdxbdg5l6g7wofnkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220208082902/https://ijoscience.com/ojsscience/index.php/ojsscience/article/download/450/965" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/81/b881647c40dc0f566f1737b35b49c501e6e10ece.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v7i12.450"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Massive MIMO Beam Management in Sub-6 GHz 5G NR [article]

Ryan M. Dreifuerst and Robert W. Heath jr. and Ali Yazdan
<span title="2022-04-12">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We design a neural network based on an autoencoder architecture that uses a beamspace observation in combination with RF environment characteristics to improve the synchronization signal (SS) burst codebook  ...  Beam codebooks are a new feature of massive multiple-input multiple-output (M-MIMO) in 5G new radio (NR).  ...  In [7] , the concept was extended by replacing the key network parameters with a neural network structure inspired by autoencoders.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06064v1">arXiv:2204.06064v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i4ngnerpijaqbdm66ll2zahj6i">fatcat:i4ngnerpijaqbdm66ll2zahj6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220422185938/https://arxiv.org/pdf/2204.06064v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/a4/54a445d5f71f11e58ddf2f337c463eca5a69dc82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06064v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Implicit Filter-and-sum Network for Multi-channel Speech Separation [article]

Yi Luo, Nima Mesgarani
<span title="2020-11-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Various neural network architectures have been proposed in recent years for the task of multi-channel speech separation.  ...  Among them, the filter-and-sum network (FaSNet) performs end-to-end time-domain filter-and-sum beamforming and has shown effective in both ad-hoc and fixed microphone array geometries.  ...  Despite the advances in time-frequency domain neural beamformers where a neural network is used to assist the conventional beamformers for better robustness and performance [1] [2] [3] [4] [5] [6] [7]  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.08401v1">arXiv:2011.08401v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wtnhqarcozfs7mwidl5tiafye4">fatcat:wtnhqarcozfs7mwidl5tiafye4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201119072336/https://arxiv.org/pdf/2011.08401v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/24/3324404906396951f1c33930e44aa1cf339e0940.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.08401v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Intelligent Radio Signal Processing: A Survey [article]

Quoc-Viet Pham and Nhan Thanh Nguyen and Thien Huynh-The and Long Bao Le and Kyungchun Lee and Won-Joo Hwang
<span title="2021-06-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive  ...  This survey covers four intelligent signal processing topics for the wireless physical layer, including modulation classification, signal detection, beamforming, and channel estimation.  ...  The calculations in these two steps can be expressed as follows: E − step : J θ|θ (t) c =E z|x,θ (t) c [ln p (z|θ)] , (4) M − step : θ (t+1) c = arg max θ J θ|θ (t) c , (5) where J θ|θ (t) c refers to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.08264v3">arXiv:2008.08264v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4wmxyio6ejfvbfnqodq5z426m4">fatcat:4wmxyio6ejfvbfnqodq5z426m4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210608224926/https://arxiv.org/pdf/2008.08264v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/ed/d1edbaa0880f55d1d9a8271dab307105890d9e25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.08264v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition [article]

Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe
<span title="2019-10-16">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It is comprised of: 1) a monaural masking network, 2) a multi-source neural beamformer, and 3) a multi-output speech recognition model.  ...  MIMO-Speech is a fully neural end-to-end framework, which is optimized only via an ASR criterion.  ...  [27] further shows that the neural beamforming function in a multi-channel end-to-end system can enhance the signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.06522v2">arXiv:1910.06522v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xzttflt5dvgafpoyjcla2cduxi">fatcat:xzttflt5dvgafpoyjcla2cduxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908111154/https://arxiv.org/pdf/1910.06522v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/f8/94f8ef5944ecbdd0350d406bf3a16a7f2dff7349.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.06522v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

End-to-End Multi-speaker ASR with Independent Vector Analysis [article]

Robin Scheibler, Wangyou Zhang, Xuankai Chang, Shinji Watanabe, Yanmin Qian
<span title="2022-04-01">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a frontend for joint source separation and dereverberation based on the independent vector analysis (IVA) paradigm.  ...  It uses the fast and stable iterative source steering algorithm together with a neural source model.  ...  Unlike in neural beamforming, the network models a single source.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.00218v1">arXiv:2204.00218v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/roo4ngyyajeodihal3beghcaxa">fatcat:roo4ngyyajeodihal3beghcaxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220517083915/https://arxiv.org/pdf/2204.00218v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ab/48/ab48fb72541653f40523caa9fcaac9cb84bf3373.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.00218v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Intelligent Radio Signal Processing: A Survey

Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The calculations in these two steps can be expressed as follows: E − step : J θ|θ (t) c =E z|x,θ (t) c [ln p (z|θ)] , (4) M − step : θ (t+1) c = arg max θ J θ|θ (t) c , (5) where J θ|θ (t) c refers to  ...  raw data by using a neural network [40] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3087136">doi:10.1109/access.2021.3087136</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lovomskphvecbnxmvbm4dadssi">fatcat:lovomskphvecbnxmvbm4dadssi</a> </span>
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Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems

Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva, Walid Saad, Jussi Haapola
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dha3bnxvkvhslj74k332qi2ewa" style="color: black;">IEEE Transactions on Communications</a> </i> &nbsp;
Two function approximation methods, a) linear full posterior sampling, and, b) neural networks are proposed for optimal selection of MTD for transmission for the given beamformer.  ...  In particular, a cellular system is considered with a multi-antenna BS in which a receive beamformer is designed to maximize the rate of a cellular user, and, a machine type aggregator (MTA) that receives  ...  Two function approximation methods, a) linear full posterior sampling, and, b) neural networks are proposed for optimal selection of MTD for transmission for the given beamformer.  ... 
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Beam Management in Millimeter-wave Communications for 5G and Beyond

Yu-Ngok Ruyue Li, Bo Gao, Xiaodan Zhang, Kaibin Huang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Massive MIMO is one of the promising techniques to improve spectral efficiency and network performance for reaching its targeted multi-gigabit throughput in 5G systems.  ...  INDEX TERMS 5G NR systems, beam management, physical layer, beyond 5G, hybrid beamforming, AI based beam management. 13282 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  The measurement can be based on downlink CSI-RS transmitted by a base station in Case 1 or based on uplink Sounding Reference Signal (SRS) transmitted by a UE in Case 2.  ... 
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