Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST

Being increasingly spectral and energy efficient, massive multiple-input multiple-output (MIMO) is envisaged as a potential technology for fifth generation (5G) wireless communication networks. Radio spectrum has become a scarce resource in wireless communications and consequently imposes excessive...

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Main Authors: Muhammad Haroon Siddiqui, Kiran Khurshid, Imran Rashid, Adnan Ahmed Khan, Khubaib Ahmed
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
5G
Online Access:https://ieeexplore.ieee.org/document/8922858/
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spelling doaj-f04c1175adc147a1b2f76bb0142e80a42021-03-30T00:48:58ZengIEEEIEEE Access2169-35362019-01-01717364617365610.1109/ACCESS.2019.29492478922858Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLASTMuhammad Haroon Siddiqui0Kiran Khurshid1https://orcid.org/0000-0002-0262-3178Imran Rashid2Adnan Ahmed Khan3Khubaib Ahmed4Department of Electrical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Electrical Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Computer Software Engineering, National University of Sciences and Technology, Islamabad, PakistanDepartment of Physics, COMSATS University, Islamabad, PakistanBeing increasingly spectral and energy efficient, massive multiple-input multiple-output (MIMO) is envisaged as a potential technology for fifth generation (5G) wireless communication networks. Radio spectrum has become a scarce resource in wireless communications and consequently imposes excessive cost on the high data rate transmission. Several linear and non linear detection techniques such as Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Vertical Bell-Labs Layered Space Time (VBLAST) have been introduced. The purpose of such schemes is to mitigate the signal detection problems which are based on trade-offs between the bit error rate (BER) performance and computational complexities. The challenge in the design of massive-MIMO systems is developing less complex and efficient detection algorithms. The problem in building a receiver for massive-MIMO is to de-correlate the spatial signatures on the receiver antenna array. In this paper, we propose a novel algorithm viz: Hybrid n-Bit Heuristic Assisted-VBLAST (HHAV) to perform an optimum decoding. We have simulated this structure in dynamic Rayleigh fading channel. We have also evaluated the AMP algorithm with two threshold functions which include AMP with ternary distribution (AMPT) and AMP with Gaussian distribution (AMPG). Numerical results confirm that HHAV algorithm performs significantly better than the in vogue aforementioned detection systems as introduced in recent years.https://ieeexplore.ieee.org/document/8922858/Massive MIMOVBLASTapproximate message passingAMPTAMPG5G
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Haroon Siddiqui
Kiran Khurshid
Imran Rashid
Adnan Ahmed Khan
Khubaib Ahmed
spellingShingle Muhammad Haroon Siddiqui
Kiran Khurshid
Imran Rashid
Adnan Ahmed Khan
Khubaib Ahmed
Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
IEEE Access
Massive MIMO
VBLAST
approximate message passing
AMPT
AMPG
5G
author_facet Muhammad Haroon Siddiqui
Kiran Khurshid
Imran Rashid
Adnan Ahmed Khan
Khubaib Ahmed
author_sort Muhammad Haroon Siddiqui
title Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
title_short Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
title_full Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
title_fullStr Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
title_full_unstemmed Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST
title_sort optimal massive mimo detection for 5g communication systems via hybrid n-bit heuristic assisted-vblast
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Being increasingly spectral and energy efficient, massive multiple-input multiple-output (MIMO) is envisaged as a potential technology for fifth generation (5G) wireless communication networks. Radio spectrum has become a scarce resource in wireless communications and consequently imposes excessive cost on the high data rate transmission. Several linear and non linear detection techniques such as Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Vertical Bell-Labs Layered Space Time (VBLAST) have been introduced. The purpose of such schemes is to mitigate the signal detection problems which are based on trade-offs between the bit error rate (BER) performance and computational complexities. The challenge in the design of massive-MIMO systems is developing less complex and efficient detection algorithms. The problem in building a receiver for massive-MIMO is to de-correlate the spatial signatures on the receiver antenna array. In this paper, we propose a novel algorithm viz: Hybrid n-Bit Heuristic Assisted-VBLAST (HHAV) to perform an optimum decoding. We have simulated this structure in dynamic Rayleigh fading channel. We have also evaluated the AMP algorithm with two threshold functions which include AMP with ternary distribution (AMPT) and AMP with Gaussian distribution (AMPG). Numerical results confirm that HHAV algorithm performs significantly better than the in vogue aforementioned detection systems as introduced in recent years.
topic Massive MIMO
VBLAST
approximate message passing
AMPT
AMPG
5G
url https://ieeexplore.ieee.org/document/8922858/
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