NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // International Journal On Advances in Telecommunications, volume 13, numbers 1 and 2, 2020 // View article tele_v13_n12_2020_1


Evaluation of the Complexity, Performance and Implementability of Geometrical MIMO Detectors: the Example of the Exploration and Exploitation List Detector

Authors:
Bastien Trotobas
Youness Akourim
Amor Nafkha
Yves Louët
Jacques Weiss

Keywords: Geometrical algorithm; MIMO detection; Complexity analysis; BER performance; FPGA; Max-log approximation

Abstract:
This paper develops a new paradigm for the multi-input multi-output detection problem with bit interleaved coded modulation (MIMO-BICM). This new paradigm is based on a geometric method rather than the traditional interference cancellation or tree search. It describes in greater detail the soft-output detector called list exploration and exploitation (L2E), which builds a list of candidates from a geometrical interpretation of a given objective function. It then computes the log-likelihood ratios (LLRs) using the max-log approximation. A comparative study between L2E and a classical tree-based algorithm is carried out in both computational complexity and detection performance. This study highlights that although the framework is entirely different, the complexity and performance are comparable with the state of the art tree-based paradigm. Finally, the proposed algorithm is implemented on a field-programmable gate array (FPGA) device. Simulations carried out with Xilinx Vivado tools and measurements are provided to analyze the resource utilization, power consumption, and timing metrics. We further estimate these metrics for an application-specific integrated circuit (ASIC) implementation based on multiplicative factors from literature. This projection demonstrates that our implementation yields results of the same magnitude as the well-known detectors.

Pages: 1 to 9

Copyright: Copyright (c) to authors, 2020. Used with permission.

Publication date: June 30, 2020

Published in: journal

ISSN: 1942-2601

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.