Modem based on sphere packing techniques in high‐dimensional Euclidian sub‐space for efficient data over voice communication through mobile voice channels

Kazemi, Reza; Mashhadi, Mahdi Boloursaz; Khoozani, Mohsen Heidari; Behnia, Fereidoon

doi:10.1049/iet-com.2014.0610

Cited by 4 publications

(10 citation statements)

References 29 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the SER minimisation case, the contribution of the l ′ th codebook symbol to the objective function is calculated as (6) and the 'most destructive symbol' is defined by (4).…”

Section: Symbol Error Rate Vs Capacity Optimisationmentioning

confidence: 99%

“…Although cellular networks may provide high rate services [such as enhanced data rates for GSM evolution (EDGE), high-speed downlink packet access (HSDPA) or IP based data (3G and 4G LTE)], data transmission through them is generally offered based on the best effort principle and assigned an inferior priority in comparison with voice calls. Consequently, utilising the voice dedicated channel to transmit data benefits from larger span, improved quality of service, lower latency of the bearer and higher priority for acquiring the channel [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…It should be stressed that this high priority data over voice (DoV) communication technique is not considered as a competitor or substitute for conventional data transmission services such as EDGE, HSDPA and high rate IP based data. In turn, it helps offer a new value added service by the omnipresent cellular networks [3][4][5]. The fact that the voice traffic is assigned a higher priority in comparison with the previously stated data communication services is true for all generations of cellular networks regardless of their structure and protocols [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…In turn, it helps offer a new value added service by the omnipresent cellular networks [3][4][5]. The fact that the voice traffic is assigned a higher priority in comparison with the previously stated data communication services is true for all generations of cellular networks regardless of their structure and protocols [3,4]. Hence, DoV service is well suited for applications in which a small volume of data should be transmitted urgently and reliably.…”

Section: Introductionmentioning

confidence: 99%

“…Note that although the simulation results reported in this paper are conducted over AMR-NB voice codec, but the proposed algorithms can also be applied to design optimum codebooks for efficient communication through any voice codecs. This is due to the fact that all voice codecs utilise the basic linear prediction coding algorithm for voice compression and therefore there are similar challenges to overcome for efficient data communication through them [3][4][5]. That is why the proposed algorithm is not confined to a special generation of cellular networks, but it is applicable to design efficient codebooks for different generations of cellular networks that apply different voice codecs.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Efficient codebook design for digital communication through compressed voice channels

Mashhadi

Behnia

2016

IET Communications

Self Cite

View full text Add to dashboard Cite

The common voice channels existing in cellular communication networks provide reliable, ubiquitously available and top priority communication mediums. These properties make voice dedicated channels an ideal choice for high priority, real time communication. However, such channels include voice codecs that hamper the data flow by compressing the waveforms prior to transmission. This study designs codebooks of speech-like symbols for reliable data transfer through the voice channel of cellular networks. An efficient algorithm is proposed to select proper codebook symbols from a database of natural speech to optimise a desired objective. Two variants of this codebook optimisation algorithm are presented: One variant minimises the symbol error rate and the other maximises the capacity achievable by the codebook. It is shown both analytically and by the simulation results that under certain circumstances, these two objective functions reach the same performance. Simulation results also show that the proposed codebook optimisation algorithm achieves higher data rates and lower symbol error rates compared with previously reported results while requiring lower computational complexity for codebook optimisation. The Gilbert-Elliot channel model is utilised to study the effects of adaptive compression rate adjustment of the vocoder on overall voice channel capacity. Finally, practical implementation issues are addressed.

show abstract

“…For the SER minimisation case, the contribution of the l ′ th codebook symbol to the objective function is calculated as (6) and the 'most destructive symbol' is defined by (4).…”

Section: Symbol Error Rate Vs Capacity Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient codebook design for digital communication through compressed voice channels

Mashhadi

Behnia

2016

IET Communications

Self Cite

View full text Add to dashboard Cite

show abstract

Introducing a Novel Data Over Voice Technique for Secure Voice Communication

Krasnowski¹,

Martin²,

Lebrun³

2022

Wireless Pers Commun

View full text Add to dashboard Cite

The current increasing need for privacy-preserving voice communications is leading to new ideas for securing voice transmission. This paper refers to a relatively new concept of sending encrypted data or speech as pseudo-speech in the audio domain over existing voice communication infrastructures, like 3G cellular network and Voice over IP (VoIP). The distinctive characteristic of such a communication system is that it relies on the robust transmission of binary information in the form of audio signal. This work presents a novel Data over Voice (DoV) technique based on codebooks of short harmonic waveforms. The technique provides a sufficiently fast and reliable data rate over cellular networks and many VoIP applications. The new method relies on general principles of Linear Predictive Coding for voice compression (LPC voice coding) and is more versatile compared to solutions trained on exact channel models. The technique gives by design a high control over the desired rate of transmission and provides robustness to channel distortion. In addition, an efficient codebook design approach inspired by quaternary error correcting codes is proposed. The usability of the proposed DoV technique for secure voice communication over cellular networks and VoIP has been successfully validated by empirical experiments. The paper details the system parameters, putting a special emphasis on system's security and technical challenges.

show abstract