EXIT chart aided convergence analysis of recursive soft m-sequence estimation in Nakagami-m fading channels
EXIT chart aided convergence analysis of recursive soft m-sequence estimation in Nakagami-m fading channels
A delay of less than one millisecond is required by low-latency 5G
wireless communication systems for supporting the ‘tactile’ Internet.
Hence, conventional initial synchronisation cannot be readily employed
because of its potentially excessive delay. In this paper, an EXtrinsic
Information Transfer (EXIT) Chart assisted approach is used for the
convergence analysis of m-sequences
using Recursive Soft Sequence Estimation (RSSE) in the context of
Nakagami-m fading channels. Explicitly, the novelty of our work is based
on employing a new type of EXIT Charts operating without using
interleavers. This is a challenge, because the original EXIT charts rely
on the employment of long, high-delay interleavers for ensuring that
the inputs to the decoders become uncorrelated. We then evaluate the
performance of various classes of m-sequences with the aid of the proposed EXIT charts and demonstrate that the m-sequences
generated by the lower-order polynomials maximise the mutual
information more promptly with the aid of our RSSE scheme than those,
which belong to a higher-order polynomial.
Delays, Detectors, Generators, Iterative decoding, Receivers, Signal to noise ratio, Tracking loops
4655-4660
Ahmed, Abbas
7755adc8-3702-4719-ad2d-39987898ff81
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Won, Seung Hwan
6554ab11-e491-44d6-8d34-4464a40ed259
Yang, Lie Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
May 2018
Ahmed, Abbas
7755adc8-3702-4719-ad2d-39987898ff81
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Won, Seung Hwan
6554ab11-e491-44d6-8d34-4464a40ed259
Yang, Lie Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ahmed, Abbas, Botsinis, Panagiotis, Won, Seung Hwan, Yang, Lie Liang and Hanzo, Lajos
(2018)
EXIT chart aided convergence analysis of recursive soft m-sequence estimation in Nakagami-m fading channels.
IEEE Transactions on Vehicular Technology, 67 (5), .
(doi:10.1109/TVT.2018.2789912).
Abstract
A delay of less than one millisecond is required by low-latency 5G
wireless communication systems for supporting the ‘tactile’ Internet.
Hence, conventional initial synchronisation cannot be readily employed
because of its potentially excessive delay. In this paper, an EXtrinsic
Information Transfer (EXIT) Chart assisted approach is used for the
convergence analysis of m-sequences
using Recursive Soft Sequence Estimation (RSSE) in the context of
Nakagami-m fading channels. Explicitly, the novelty of our work is based
on employing a new type of EXIT Charts operating without using
interleavers. This is a challenge, because the original EXIT charts rely
on the employment of long, high-delay interleavers for ensuring that
the inputs to the decoders become uncorrelated. We then evaluate the
performance of various classes of m-sequences with the aid of the proposed EXIT charts and demonstrate that the m-sequences
generated by the lower-order polynomials maximise the mutual
information more promptly with the aid of our RSSE scheme than those,
which belong to a higher-order polynomial.
Text
EXIT Chart Aided Convergence Analysis of Recursive Soft m-Sequence Estimation in Nakagami-m Fading Channels
- Accepted Manuscript
Text
08249535
- Version of Record
More information
Accepted/In Press date: 5 January 2018
e-pub ahead of print date: 8 January 2018
Published date: May 2018
Additional Information:
AM copy added by SKR1c15
Keywords:
Delays, Detectors, Generators, Iterative decoding, Receivers, Signal to noise ratio, Tracking loops
Identifiers
Local EPrints ID: 417869
URI: http://eprints.soton.ac.uk/id/eprint/417869
ISSN: 0018-9545
PURE UUID: d1c25e95-c787-41be-9c6c-1fb8a6d14c9f
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Date deposited: 15 Feb 2018 17:31
Last modified: 18 Mar 2024 02:49
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Contributors
Author:
Abbas Ahmed
Author:
Panagiotis Botsinis
Author:
Seung Hwan Won
Author:
Lie Liang Yang
Author:
Lajos Hanzo
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