Abstract
Distributed Source Coding (DSC) schemes rely on separate encoding but joint decoding of statistically dependent sources, which exhibit correlation. More specifically, Distributed Joint Source-Channel coding (DJSC) is associated with the scenario, where the correlated source signals are transmitted through a noisy channel. On one hand, employing DSC or DJSC schemes exploits the existing correlation between sensors resulting in minimising the transmission energy required by the sources, while maintaining reliable communication. On the other hand, Network Coding (NC) is an efficient data transport technique leveraging network efficiency, by allowing Relay Nodes (RNs) in a communication network to combine multiple data packets received via the incoming links before transmitting them to the Destination Node (DN). In this paper, the bandwidth-efficient Distributed Joint Turbo Trellis-Coded Modulation (DJTTCM) aided by both Dynamic Network Coding (DNC) and Adaptive DNC (ADNC)-based cooperative transmission schemes are proposed. Both systems are proposed for supporting correlated source transmissions over hostile channels experiencing both small-scale and large-scale fading in which the RNs dynamically transmit its non-binary linear combinations to the DN. A substantial gain of 19.5 dB was attained at a correlation coefficient of $\rho = 0.8$ over its counterpart dispensing with NC.
Highlights
Distributed Source Coding (DSC) refers to the problem of compressing several physically separated, but correlated sources, which are unable to communicate with each other by exploiting that the receiver can perform joint decoding of the encoded signals [1]–[3]
The Broadcast Phase (BP) transmission might be viewed as an Space-Division Multiple Access (SDMA) [31] architecture, where M SNs transmit their signals to the Relay Nodes (RNs), with each RN having equipped with P receive antennas
We have conceived the Adaptive Dynamic Network Coding (ADNC) design where the RNs would adaptively transmit their corresponding frames depending on channel-quality that would lead to a significant complexity reduction, for high-Signal-to-Noise Ratio (SNR) region
Summary
Distributed Source Coding (DSC) refers to the problem of compressing several physically separated, but correlated sources, which are unable to communicate with each other by exploiting that the receiver can perform joint decoding of the encoded signals [1]–[3]. Barros et al generalised the problem to correlated sources communicating in a large-scale NC scenario [7] Inspired by this theoretical contribution, several practical iterative Joint Channel-coding and Network-coding (JCN) schemes have been proposed in [10]–[12], where the NC was combined with channel coding for the sake of achieving time-diversity. The scheme’s overall effective throughput could be enhanced, while the decoding complexity and delay associated with extra frames will be reduced Both systems, namely DJSTTCM-DNC and DJSTTCM-ADNC, are proposed for supporting correlated source transmissions over hostile channels experiencing both small-scale and large-scale fading.
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