A New Adaptive Predistortion Technique Using Software-Defined Radio and DSP Technologies Suitable for Base Station 3G Power Amplifiers

2004 ◽  
Vol 52 (9) ◽  
pp. 2139-2147 ◽  
Author(s):  
E.G. Jeckeln ◽  
F.M. Ghannouchi ◽  
M.A. Sawan
Keyword(s):  
Power Amplifiers ◽  
Software Defined Radio ◽  
Base Station ◽  
Adaptive Predistortion

Drain-voltage dependency of memory effects in W-CDMA base station digital predistortion linearizers with compound semiconductor power amplifiers

2005 ◽  
Vol 45 (6) ◽  
pp. 551-554 ◽  
Author(s):  
Takeshi Takano ◽  
Yasuyuki Oishi ◽  
Toru Maniwa ◽  
Hiroyuki Hayashi ◽  
Toshihide Kikkawa ◽  
...  
Keyword(s):  
Power Amplifiers ◽  
Base Station ◽  
Compound Semiconductor ◽  
Memory Effects ◽  
Digital Predistortion ◽  
Drain Voltage

Vectorially Combined Distributed Power Amplifiers for Software-Defined Radio Applications

2012 ◽  
Vol 60 (10) ◽  
pp. 3189-3200 ◽  
Author(s):  
Kumar Narendra ◽  
Ernesto Limiti ◽  
Claudio Paoloni ◽  
Juan-Mari Collantes ◽  
Rolf Jansen ◽  
...  
Keyword(s):  
Power Amplifiers ◽  
Software Defined Radio ◽  
Distributed Power

Predistortion of a 100-W base station high-power amplifiers

2011 ◽  
Vol 53 (4) ◽  
pp. 861-867 ◽  
Author(s):  
X. L. Sun ◽  
S. W. Cheung ◽  
T. I. Yuk
Keyword(s):  
High Power ◽  
Power Amplifiers ◽  
Base Station

scholarly journals Deep Learning Based Antenna Selection for MIMO SDR System

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6987
Author(s):  
Shida Zhong ◽  
Haogang Feng ◽  
Peichang Zhang ◽  
Jiajun Xu ◽  
Huancong Luo ◽  
...  
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Software Defined Radio ◽  
Antenna Selection ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Input Multiple Output ◽  
Set Up ◽  
Time Division

In this paper, we propose and implement a novel framework of deep learning based antenna selection (DLBAS)-aided multiple-input–multiple-output (MIMO) software defined radio (SDR) system. The system is constructed with the following three steps: (1) a MIMO SDR communication platform is first constructed, which is capable of achieving uplink communication from users to the base station via time division duplex (TDD); (2) we use the deep neural network (DNN) from our previous work to construct a deep learning decision server to assist the MIMO SDR platform for making intelligent decision for antenna selection, which transforms the optimization-driven decision making method into a data-driven decision making method; and (3) we set up the deep learning decision server as a multithreading server to improve the resource utilization ratio. To evaluate the performance of the DLBAS-aided MIMO SDR system, a norm-based antenna selection (NBAS) scheme is selected for comparison. The results show that the proposed DLBAS scheme performed equally to the NBAS scheme in real-time and out-performed the MIMO system without AS with up to 53% improvement on average channel capacity gain.

Design and Measurement Results for Cooperative Device to Device Communication

2017 ◽  
pp. 81-97
Author(s):  
Naveen Gupta ◽  
Vivek Ashok Bohara ◽  
Vibhutesh Kumar Singh
Keyword(s):  
Software Defined Radio ◽  
Spectrum Sharing ◽  
Signal To Noise Ratio ◽  
Base Station ◽  
D2d Communication ◽  
Direct Transmission ◽  
Signal To Noise ◽  
Measurement Results ◽  
Device To Device ◽  
Experimental Testbed

In this chapter, the authors present the simulation and measurement results for direct and single hop device-to-device (D2D) communication protocols. The measurement results will further argument the development of D2D communication and will also help in understanding some of the intricate design issues which were overlooked during theoretical or computer simulations. The measurements were taken on a proof-of-concept experimental testbed by emulating a cellular scenario in which a Base station (BS) and many D2D enabled devices coordinate and communicate with each other to select an optimum communication range, transmit parameters, etc. A testbed (Multi-carrier) was developed using Software Defined radio which incorporates the concept of Spectrum Sharing through static sub-carrier allocation to D2D user by cellular system which will eventually enhance the performance of cellular as well as D2D communication system. Our purposed and deployed protocol have shown significant improvement in received Signal to Noise Ratio (SNR) as compared to conventional direct transmission schemes.

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