Non-coherent quantum multiple symbol differential detection for wireless systems
Non-coherent quantum multiple symbol differential detection for wireless systems
In large-dimensional wireless systems, such as Cooperative Multi-cell Processing (CoMP), mm-Wave and massive MIMO systems, or cells having a high user density, such as airports, train stations and metropolitan areas, sufficiently accurate estimation of all the channel gains is required for performing coherent detection. Therefore they may impose an excessive complexity. As an attractive design alternative, differential modulation relying on non-coherent detection may be invoked for eliminating the requirement for channel estimation at the Base Station, although at the cost of some performance degradation. In this treatise we propose low-complexity Hard-Input Hard-Output (HIHO), Hard-Input Soft-Output (HISO), as well as Soft-Input Soft-Output (SISO) Quantum-assisted Multiple Symbol Differential Detectors (QMSDD) which perform equivalently to the optimal, but highly complex Maximum A posteriori Probability (MAP) MSDDs in multi-user systems, where the users are separated both in the frequency domain and in the time domain. When using an MSDD, the detection of a user’s symbols is performed over windows of differentially modulated symbols, hence they exhibit an increased complexity with respect to the Conventional Differential Detector (CDD), while simultaneously improving the performance of the system, especially at high Doppler frequencies
1-31
Botsinis, Panagiotis
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Alanis, Dimitrios
39e04fad-7530-44f2-b7d3-1b20722a0bd2
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
12 May 2015
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, Dimitrios
39e04fad-7530-44f2-b7d3-1b20722a0bd2
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Botsinis, Panagiotis, Alanis, Dimitrios, Babar, Zunaira, Ng, Soon Xin and Hanzo, Lajos
(2015)
Non-coherent quantum multiple symbol differential detection for wireless systems.
IEEE Access, .
(doi:10.1109/ACCESS.2015.2432015).
Abstract
In large-dimensional wireless systems, such as Cooperative Multi-cell Processing (CoMP), mm-Wave and massive MIMO systems, or cells having a high user density, such as airports, train stations and metropolitan areas, sufficiently accurate estimation of all the channel gains is required for performing coherent detection. Therefore they may impose an excessive complexity. As an attractive design alternative, differential modulation relying on non-coherent detection may be invoked for eliminating the requirement for channel estimation at the Base Station, although at the cost of some performance degradation. In this treatise we propose low-complexity Hard-Input Hard-Output (HIHO), Hard-Input Soft-Output (HISO), as well as Soft-Input Soft-Output (SISO) Quantum-assisted Multiple Symbol Differential Detectors (QMSDD) which perform equivalently to the optimal, but highly complex Maximum A posteriori Probability (MAP) MSDDs in multi-user systems, where the users are separated both in the frequency domain and in the time domain. When using an MSDD, the detection of a user’s symbols is performed over windows of differentially modulated symbols, hence they exhibit an increased complexity with respect to the Conventional Differential Detector (CDD), while simultaneously improving the performance of the system, especially at high Doppler frequencies
Text
NonCoherentQMSDD.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 23 March 2015
Published date: 12 May 2015
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 377158
URI: http://eprints.soton.ac.uk/id/eprint/377158
PURE UUID: 1d34c302-5642-4dbb-b51e-97af90737920
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Date deposited: 22 May 2015 15:44
Last modified: 18 Mar 2024 03:23
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Contributors
Author:
Panagiotis Botsinis
Author:
Dimitrios Alanis
Author:
Zunaira Babar
Author:
Soon Xin Ng
Author:
Lajos Hanzo
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