Optimizing Transmission Lengths for Limited Feedback With Nonbinary LDPC Examples

Vakilinia, Kasra; Ranganathan, Sudarsan V. S.; Wesel, Richard D.

doi:10.1109/tcomm.2016.2538770

Cited by 27 publications

(18 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we apply sequential differential optimization (SDO) to incremental redundancy in the context of random codes over erasure channels [10]. This technique works with continuous random variables and, as such, we must find a suitable approximation for the distribution of discrete random variable N n .…”

Section: Sequential Differential Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Approach to Incremental Redundancy over Erasure Channels

Heidarzadeh

Chamberland

Parag

et al. 2018

2018 IEEE International Symposium on Information Theory (ISIT)

Self Cite

View full text Add to dashboard Cite

As sensing and instrumentation play an increasingly important role in systems controlled over wired and wireless networks, the need to better understand delay-sensitive communication becomes a prime issue. Along these lines, this article studies the operation of data links that employ incremental redundancy as a practical means to protect information from the effects of unreliable channels. Specifically, this work extends a powerful methodology termed sequential differential optimization to choose near-optimal block sizes for hybrid ARQ over erasure channels. In doing so, an interesting connection between random coding and well-known constants in number theory is established. Furthermore, results show that the impact of the coding strategy adopted and the propensity of the channel to erase symbols naturally decouple when analyzing throughput. Overall, block size selection is motivated by normal approximations on the probability of decoding success at every stage of the incremental transmission process. This novel perspective, which rigorously bridges hybrid ARQ and coding, offers a pragmatic means to select code rates and blocklengths for incremental redundancy.

show abstract

Section: Sequential Differential Optimizationmentioning

confidence: 99%

“…Normal Approximation: Paralleling the steps in [10], we first approximate the distribution of N n by a normal distribution N (µ, σ 2 ) with mean µ and variance σ 2 , as defined above. The CDF of N n is then approximated by…”

Section: Sequential Differential Optimizationmentioning

confidence: 99%

A Systematic Approach to Incremental Redundancy over Erasure Channels

Heidarzadeh

Chamberland

Parag

et al. 2018

2018 IEEE International Symposium on Information Theory (ISIT)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Finding good codes for channels with feedback is a notoriously dif icult problem. Several coding methods for channels with feedback have been proposed; see for example [7,8,9,10,11]. However, all known solutions either do not approach the performance predicted in [6] or exhibit unaffordable complexity.…”

Section: Introductionmentioning

confidence: 99%

Deep extended feedback codes

Safavi¹,

Perotti²,

Popović³

et al. 2021

ITU-J FET

View full text Add to dashboard Cite

A new Deep Neural Network (DNN)-based error correction encoder architecture for channels with feedback, called Deep Extended Feedback (DEF), is presented in this paper. The encoder in the DEF architecture transmits an information message followed by a sequence of parity symbols which are generated based on the message as well as the observations of the past forward channel outputs sent to the transmitter through a feedback channel. DEF codes generalize Deepcode in several ways: parity symbols are generated based on forward channel output observations over longer time intervals in order to provide better error correction capability; and high-order modulation formats are deployed in the encoder so as to achieve increased spectral efficiency. Performance evaluations show that DEF codes have better performance compared to other DNN-based codes for channels with feedback.

show abstract

“…However, FEC may also reduce the system throughput and power due to the redundant parity bits, and the additional encoding and decoding complexity and delay. The packet length is a critical parameter that affects the PER, and thus, optimizing the packet length can significantly improve the system throughput [21].…”

Section: Introductionmentioning

confidence: 99%

A Power and Spectrum Efficient Uplink Transmission Scheme for QoS-Constrained IoT Networks

Yahya¹,

Al-Dweik²,

Iraqi³

et al. 2021

Preprint

View full text Add to dashboard Cite

<div>Abstract—Non-orthogonal multiplexing (NOM) is a novel superposition coding inspired scheme that has been recently proposed for improving the power, spectrum efficiency and delay of wireless links with packet error rate (PER) constraints. Despite its efficiency, restricting the number of multiplexed packets to two limits the throughput improvement to 100%. Therefore, this work presents a novel NOM design with unlimited number of multiplexed packets by manipulating the repeated transmissions in automatic repeat request (ARQ) to enhance the power and spectrum efficiency by multiplexing new and repeated packets while taking into account the channel conditions and varying the power per packet in different transmissions. The proposed scheme employs an efficient heuristic algorithm to perform the power assignment and multiplexing decisions. Moreover, the complexity of the proposed NOM can be controlled by enforcing a limit on the maximum number of multiplexed packets per transmission, making it suitable for different types of Internet of Things (IoT) nodes with various computational capabilities. The obtained results demonstrate the effectiveness of proposed scheme, which offers up to 200% spectral efficiency improvement at moderate signal to noise ratios (SNRs), and up to 700% at high SNRs. Furthermore, the new scheme can reduce the transmission power consumption by up to 6 dB in the high SNR region.</div>

show abstract

Optimizing Transmission Lengths for Limited Feedback With Nonbinary LDPC Examples

Cited by 27 publications

References 33 publications

A Systematic Approach to Incremental Redundancy over Erasure Channels

A Systematic Approach to Incremental Redundancy over Erasure Channels

Deep extended feedback codes

A Power and Spectrum Efficient Uplink Transmission Scheme for QoS-Constrained IoT Networks

Contact Info

Product

Resources

About