Relevant bibliographies by topics / Receive antenna selection (RAS)

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Receive antenna selection (RAS)'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Receive antenna selection (RAS)"

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Kim, Sangchoon. "Novel Receive Antenna Selection Scheme for Precoding-Aided Spatial Modulation with Lattice Reduction." Sensors 22, no. 9 (2022): 3575. http://dx.doi.org/10.3390/s22093575.

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In this paper, a new receive antenna subset (RAS) selection scheme is proposed for precoding-aided spatial modulation (PSM). First, a lattice reduction (LR)-based precoder is employed instead of a conventional zero-forcing (ZF) precoder. It is analytically shown that a full diversity gain can be achieved by the LR-based ZF precoder without RAS selection. Then, an optimal LR-based RAS selection criterion is derived for the over-determined LR-based PSM systems, and a suboptimal selection algorithm is additionally presented. It is also shown that optimal and suboptimal RAS selection algorithms ba
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Patel, Sagar, and Jaymin Bhalani. "Near Optimal Receive Antenna Selection Scheme for MIMO System under Spatially Correlated Channel." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3732–39. https://doi.org/10.11591/ijece.v8i5.pp3732-3739.

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Spatial correlation is a critical impairment for practical Multiple Input Multiple Output (MIMO) wireless communication systems. To overcome from this issue, one of the solutions is receive antenna selection. Receive antenna selection is a low-cost, low-complexity and no requirement of feedback bit alternative option to capture many of the advantages of MIMO systems. In this paper, symbol error rate (SER) versus signal to noise ratio (SNR) performance comparasion of proposed receive antenna selection scheme for full rate non-orthogonal Space Time Block Code (STBC) is obtained using simulations
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Shi, Hui, Weiwei Yang, Dechuan Chen, Yunpeng Luo, and Yueming Cai. "Secure Transmission for Simultaneous Wireless Information and Power Transfer in AF Untrusted Relay Networks." Sensors 19, no. 1 (2018): 76. http://dx.doi.org/10.3390/s19010076.

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This paper investigates secure communications of energy harvesting untrusted relay networks, where the destination assists jamming signal to prevent the untrusted relay from eavesdropping and to improve the forwarding ability of the energy constrained relay. Firstly, the source and the destination transmit the signals to the relay with maximal ratio transmission (MRT) technique or transmit antenna selection (TAS) technique. Then, the destination utilizes maximal ratio combining (MRC) technique or receive antenna selection (RAS) technique to receive the forwarded information. Therefore, four tr
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Lee, Young-Seok, Ki-Hun Lee, and Bang Chul Jung. "Beamforming Techniques for Over-the-Air Computation in MIMO IoT Networks." Sensors 20, no. 22 (2020): 6464. http://dx.doi.org/10.3390/s20226464.

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In this paper, a novel beamforming technique is proposed as the over-the-air computation (AirComp) framework in a multiple-input multiple-output (MIMO) Internet-of-things (IoT) network consisting of multiple IoT sensors (STAs) and a single access point (AP). We assume that each IoT device has the channel state information (CSI) from itself to the AP and the AP has the global CSI of all IoT devices. We consider the mean squared error (MSE), which represents the reliability of function computation, as a performance metric. In short, each IoT device exploits maximum-ratio transmission (MRT) as a
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Sagar, Patel, and Bhalani Jaymin. "Near Optimal Receive Antenna Selection Scheme for MIMO System under Spatially Correlated Channel." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3732. http://dx.doi.org/10.11591/ijece.v8i5.pp3732-3739.

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Spatial correlation is a critical impairment for practical Multiple Input Multiple Output (MIMO) wireless communication systems. To overcome from this issue, one of the solutions is receive antenna selection. Receive antenna selection is a low-cost, low-complexity and no requirement of feedback bit alternative option to capture many of the advantages of MIMO systems. In this paper, symbol error rate (SER) versus signal to noise ratio (SNR) performance comparasion of proposed receive antenna selection scheme for full rate non-orthogonal Space Time Block Code (STBC) is obtained using simulations
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Wang, Yong, Hui Li, and Xiyuan Wang. "Robustness of Weighting Receive Antenna Selection Algorithm." Wireless Personal Communications 61, no. 1 (2010): 59–67. http://dx.doi.org/10.1007/s11277-010-9998-3.

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Wang, Chaowei, Weidong Wang, Cheng Wang, Shuai Wang, and Yang Yu. "A Fast Adaptive Receive Antenna Selection Method in MIMO System." International Journal of Antennas and Propagation 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/175783.

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Antenna selection has been regarded as an effective method to acquire the diversity benefits of multiple antennas while potentially reduce hardware costs. This paper focuses on receive antenna selection. According to the proportion between the numbers of total receive antennas and selected antennas and the influence of each antenna on system capacity, we propose a fast adaptive antenna selection algorithm for wireless multiple-input multiple-output (MIMO) systems. Mathematical analysis and numerical results show that our algorithm significantly reduces the computational complexity and memory r
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Du, Liping, Ying Tan, Yiming Li, and Yueyun Chen. "On the Energy Efficiency of Multicell Massive MIMO with Antenna Selection and Power Allocation." Wireless Communications and Mobile Computing 2022 (April 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/7224731.

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The energy consumption of massive multiple-input multiple-output (MIMO) systems increases with the number of antennas. Optimizing the energy efficiency (EE) of massive MIMO systems is one of the ways to achieve green communication. This paper proposes an EE optimization method that genetic algorithm-based antenna selection and power allocation (GA-AS+PA) for the downlink of a multicell massive MIMO system under the restriction of the users’ sum-rate. First, we use the genetic algorithm to determine the active transmitting antenna of each base station (BS). Then, the transmission power for each
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Wang, Yong, and Hui Li. "A Novel Convex Optimization for Receive Antenna Selection." Advanced Materials Research 186 (January 2011): 611–15. http://dx.doi.org/10.4028/www.scientific.net/amr.186.611.

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This paper proposes a new receive antenna selection algorithm based on the theory of convex optimization that improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on approximated relaxed original optimization problem. The main effort in the approximated relaxed method is computing the Newton step for the centering problem, which consists of solving sets of linear equations constraints. The method produces not only a suboptimal choice of receive antennas, but also, a bound on how well the globally optimal choice does. The Mon
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Wang, Junling, Ana Isabel Perez-Neira, and Meiguo Gao. "A concise joint transmit/receive antenna selection algorithm." China Communications 10, no. 3 (2013): 91–99. http://dx.doi.org/10.1109/cc.2013.6488835.

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Dissertations / Theses on the topic "Receive antenna selection (RAS)"

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Jang, Dhong Woon. "A 3D LINK ANALYSIS AND SELECTION OF A RECEIVE ANTENNA ANGLE IN TELEMETRY SYSTEMS." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/606362.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California<br>A three dimension (3D) link analysis is performed considering multipath effects caused by a reflected signal and the difference angle between the antenna bore-sight and Line-Of-Sight (LOS). In addition, a direction of a receive antenna is determined for a receiver to get maximum signal strength in a telemetry situation. For a fixed receive antenna, the angle is determined to maximize the average Carrier to Noise Ratio (CNR) over the interested part of
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Li-Chang-Mu and 李昌穆. "Study of Space Time Coding with Receive Antenna Selection." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/86241650067664310671.

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碩士<br>國立暨南國際大學<br>通訊工程研究所<br>97<br>There can be two space-time codes for MIMO systems: space-time block code (STBC) and space-time trellis code (STTC). And it was reported that receive antenna selection (RAS) can provide the competent performance and can reduce the computational complexity. In this thesis, we study STBC, STTC, and their combination: STTC-STBC. To evaluate the effects of RAS on space-time coding, we further impose RAS on STBC, STTC, and STTC-STBC. Simulation results show that the bit error rate (BER) for the schemes with RAS is close to that for the schemes without RAS, and STT
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Ahmadi, Shokouh Javad. "Receive Soft Antenna Selection for Noise-Limited/Interference MIMO Channels." Thesis, 2008. http://hdl.handle.net/10012/4085.

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Although the Multi-Input and Multi-Output (MIMO) communication systems provide very high data rates with low error probabilities, these advantages are obtained at the expense of having high signal processing tasks and the hardware cost, e.g. expensive Analog-to-Digital (A/D) converters. The increased hardware cost is mainly due to having multiple Radio Frequency (RF) chains (one for each antenna element). Antenna selection techniques have been proposed to lower the number of RF chains and provide a low cost MIMO system. Among them, due to a beamforming capability Soft Antenna Selection (SAS) s
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Huang, Ruo-Ya, and 黃若雅. "Fast Widely Symbol Detection and Receive Antenna Selection for MIMO Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8tzyhs.

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碩士<br>國立臺灣海洋大學<br>電機工程學系<br>106<br>Conventional V-BLAST detection has the drawback of significant performance degradation for highly loaded and overloaded multiple-input multiple-output (MIMO) systems. The widely signaling scheme can offer an effective means to overcome this problem. Nevertheless, computational complexity increases greatly due to twice the dimension of signal space. To reduce complexity while possessing the merits of performance enhancement, a novel and fast symbol detector is proposed in this thesis. The proposed detector incorporates the widely signaling scheme into a recurs
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Barmate, Pali. "Performance Study of a Cooperative Communication using Receive Antenna Selection and Transmit Beam-forming." Thesis, 2018. http://ethesis.nitrkl.ac.in/9952/1/2018_MT_216EC5226_PBarmate_Performance.pdf.

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The work which we are presenting in this thesis consist of deep studies of cooperative communication. We investigate the outage probability of cooperative communication to examine its performance where source communicate with destination with the help of relay. This communication can be of one way or two way. We first derived end-to-end SNR for our proposed system and then we analyzed our system’s performance on the basis of the bit-error-rate (BER) and the expression of an outage probability. In Relay employed communication network, when relay except the signal from source then it follows a p
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Conference papers on the topic "Receive antenna selection (RAS)"

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Siasifar, Mahdi, Asghar Keshtkar, and Shervin Amiri. "Optimum Patch Selection for Wideband Planar Spoof Surface Plasmon Polaritons Ku-Band Satellite Receive Antenna." In 2024 11th International Symposium on Telecommunications (IST). IEEE, 2024. https://doi.org/10.1109/ist64061.2024.10843596.

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Blum, Rick S., Zhemin Xu, and Sana Sfar. "A near-optimal joint transmit and receive antenna selection algorithm for MIMO systems." In 2009 IEEE Radio and Wireless Symposium (RWS). IEEE, 2009. http://dx.doi.org/10.1109/rws.2009.4957411.

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Naeem, M., and D. C. Lee. "Joint transmit and receive antenna selection using a probabilistic distribution learning algorithm in MIMO systems." In 2010 IEEE Radio and Wireless Symposium (RWS). IEEE, 2010. http://dx.doi.org/10.1109/rws.2010.5434265.

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Tarkhan, Aliasghar. "Receive Antenna Selection in Uplink Smart Antenna MIMO Systems." In 2020 IEEE International Conference on Communication, Networks and Satellite (Comnetsat). IEEE, 2020. http://dx.doi.org/10.1109/comnetsat50391.2020.9328785.

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Chen, Ming-Xue. "Receive Antenna Selection without CSI for Linear Detection." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.85.

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Wang, Xuan-hong, Guang-yue Lu, and Yun Xiao. "Combined Multiple Weight Vectors and Receive Antenna Selection." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5600180.

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Tran, Quoc Tuan, Shinsuke Hara, Atsushi Honda, Yuuta Nakaya, Ichirou Ida, and Yasuyuki Oishi. "A Receive Antenna Selection for MIMO-OFDM System." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.253942.

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Ju, Liu, Lan Peng, Gu Bo, and Xu Hongji. "Receive Antenna Subsets Selection Based on Orthogonal Componts." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254442.

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Lu, Di, and Daniel K. C. So. "Hybrid Receive Antenna Selection Scheme for V-BLAST." In IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference. IEEE, 2007. http://dx.doi.org/10.1109/glocom.2007.830.

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Habib, Aamir, Christian Mehlfuhrer, and Markus Rupp. "Performance of compact antenna arrays with receive selection." In 2011 Wireless Advanced (WiAd) (Formerly known as SPWC). IEEE, 2011. http://dx.doi.org/10.1109/wiad.2011.5983312.

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