A lower capacity bound of secure end to end data transmission via GSM network

Abstract

Global System for Mobile communications (GSM) is a widely spread, reliable and P2P channel through all over the world. These characteristics make GSM a channel suitable for a variety of applications in different domains especially security applications such as secure voice communication. Performance and usage of GSM applications extremely depends on the transmission data rate. Hence, transmitting data over GSM is still an attractive topic for research. This paper considers the problem of digital data transmission through the GSM voice channel. A lower capacity bound for data transmission through the GSM Adaptive Multi Rate (AMR) voice codec is presented. The GSM channel is modeled in a simple manner to overcome it's memory and non-linearity effects. A new statistic based on received samples is extracted and a novel method to transmit data over that channel which asymptotically tends to the achieved lower bound is offered.

Vertical Handover Study on 4G Category Vs 5G Category for 3GPP Generation Mobile Systems and Non-3GPP Wireless Networks

“…GSM was first introduced in Europe in 1991 and today is one of the most popular digital mobile telecommunications systems widely used over the world [3]. Due to the increase of the number and the requirement of GSM subscriber the GSM is still an attractive area for research in the field of mobile telecommunication [3][4][5].…”

Efficient codebook design for digital communication through compressed voice channels

“…As classified by [3, 4], prior researches on data transmission over voice channels have proposed three different approaches of ‘parameter mapping’ [15], ‘codebook optimisation’ [16–18] and ‘modulation optimisation’ [19, 20] to overcome voice channel non‐idealities [3, 4, 21]. These approaches are well compared in [4].…”

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

“…Shahbazi et al [21] used exhaustive search algorithm over observed human speech waveforms to find optimum symbols. Boloursaz et al [22][23][24] and Kazemi et al [25] proposed a heuristic algorithm optimising the codebook for a maximised capacity. The highest achieved data rate of this group is 4 kbps with the symbol error rate (SER) of 2.5%.…”