Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels

Navazi, Hassan M.; Hossain, Md. Jahangir

doi:10.1109/twc.2018.2890061

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…It is impossible for regular BICM, which has become a standard for the current wireless systems, due to the gray labeling map used therein. In recent years, BICM-ID had many variations, like bitinterleaved space-time coded modulation with iterative decoding [8], BICM-ID exploiting signal space diversity [9], bit-interleaved polar coded modulation with iterative decoding [10], or BICM-ID with multidimensional labeling [11,12].…”

Section: Bicm-id Essentialsmentioning

confidence: 99%

Labeling-Based Recipient Identification for 16-QAM BICM-ID

Krasicki¹

2019

J Wireless Com Network

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In recent years, many efforts have been made to find the optimal labeling maps for bit-interleaved coded modulation with iterative decoding (BICM-ID) with the aim to exploit the benefits of iterative decoding to the maximal extent. The current paper reveals new opportunities that BICM-ID signal labeling brings for system designers: it enables recipient addressing without any explicitly sent identifier. Instead, the recipient ID is represented by a labeling map, selected from a set of equally optimal labelings. A simple method of frame filtering, necessary to retrieve the desired data frame at the receiver side, is proposed and evaluated. It is also shown that the proposed Labeling-Based Recipient Identification (LABRID) approach does not cause any inferior performance outcome in terms of bit error rate.

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Section: Bicm-id Essentialsmentioning

confidence: 99%

Labeling-Based Recipient Identification for 16-QAM BICM-ID

Krasicki¹

2019

J Wireless Com Network

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“…Gray labeling, which is widely used in current wireless systems that employ original BICM, such as WLAN [ 1 , 2 ] and digital terrestrial television broadcasting [ 3 , 4 ], has been shown to be the worst choice from the perspective of iterative decoding goals. The optimal labeling maps for BICM-ID have been investigated in many papers, e.g., [ 5 , 6 , 7 ]. The most popular optimization target for labeling involves maximizing the asymptotic coding gain while maintaining the energy per bit

to noise power density ratio

at infinity.…”

Section: Introductionmentioning

confidence: 99%

BICM-ID Labeling-Based Recipient Identification in a Heterogeneous Network

Krasicki

2023

Sensors

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The concept of labeling-based recipient identification (LABRID) for bit-interleaved coded modulation with iterative decoding (BICM-ID) is revisited. LABRID allows addressing a message recipient station in a wireless network by using an individual labeling map without compromising error performance. This eliminates the need to use any byte of the data frame to carry the recipient address explicitly. In addition, the destination of the frame can be determined in parallel with a BICM-ID decoding procedure in the receiver’s physical layer. Therefore, the MAC layer is not involved in processing the vast majority of frames transmitted in a network. Previously, it was shown that LABRID works fine if there are only LABRID-compatible stations within the network, and every receiver can reject frames destined for other receivers. This paper considers a scenario in which LABRID-compatible BICM-ID stations and legacy BICM stations coexist in the same network. A few experiments show that the LABRID receiver can reject an old-fashioned BICM frame by judging the convergence of the iterative decoding process. It also turns out that the legacy BICM receiver can identify and dismiss the LABRID-type frames thanks to the standard cyclic redundancy check (CRC) procedure.

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“…The works [ 9 , 10 ] proposed a design method for quasi-Gray labeling based on the edge-profile. The other newer related works about the labeling focus on the BICM-iterative decoding (ID) [ 11 , 12 , 13 , 14 ] or the other constellation [ 15 , 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Design of a Labeling Scheme for 32-QAM Delayed Bit-Interleaved Coded Modulation

Zhang

Zhou

Du³

et al. 2020

Sensors

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It is very challenging to design the capacity-approaching labeling schemes for large constellations, such as 32-QAM, in delayed bit-interleaved coded modulation (DBICM). In this paper, we investigate the labeling design for 32-QAM DBICM with various numbers of bits delayed by one time slot. In particular, we aim to obtain the labeling schemes with a high DBICM channel capacity by searching the possible labeling schemes. To reduce the search space of the candidate labeling schemes, we propose the criteria that are necessary for good labeling. Based on the proposed criteria, a three-step search algorithm is proposed to obtain the candidate labeling efficiently. Numerical results demonstrate that the DBICM with our proposed labeling scheme can approach the capacity of 32-QAM within 0.015 dB at an information rate greater than 2.5 bits/symbol.

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Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels

Cited by 4 publications

References 29 publications

Labeling-Based Recipient Identification for 16-QAM BICM-ID

Labeling-Based Recipient Identification for 16-QAM BICM-ID

BICM-ID Labeling-Based Recipient Identification in a Heterogeneous Network

Design of a Labeling Scheme for 32-QAM Delayed Bit-Interleaved Coded Modulation

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