Coping with CDMA Asynchronicity in Compressive Sensing Multi-User Detection

Schepker, Henning; Bockelmann, Carsten; Dekorsy, Armin

doi:10.1109/vtcspring.2013.6692494

Cited by 30 publications

(10 citation statements)

References 12 publications

(13 reference statements)

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“…The sparse representation of superposition codes, and sparse signal processing methodology in general, are effective for this application. Indeed, the detection and demodulation of MTC traffic in the PHY layer RACH benefits from the "bursty" nature of signals ("sparse" in mathematical sense) and they can be described by a small set of parameters within a larger set of observables [22][23][24]. A possible solution is to make sparse signal processing usable for 5G RACH, exploiting joint sparsity of messages, mobile channels, and user activity [22].…”

Section: Compressed Sensingmentioning

confidence: 99%

A novel physical layer scheme based on superposition codes

Savazzi

Vizziello

2017

J Wireless Com Network

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The recently proposed superposition codes (SCs) have been mathematically proved to be decoded at any rate below the capacity, for additive white Gaussian noise (AWGN) channels. The main objective of this paper is to study the feasibility of a novel SC approach as an alternative to the traditional way of designing modern physical (PHY) layer schemes. Indeed, currently, PHY solutions are based on the decomposition into two separate problems of modulation shaping and coding over finite alphabets. Since superposition codes are defined over real numbers, modulation and coding can be jointly realized. Moreover, a fast decoding method is developed and tested by comparing the obtained results with both the uncoded system performance and two approximate message passing (AMP) algorithms. Finally, possible perspective to fifth generation (5G) applications exploiting SC solutions are outlined in the paper, and some interesting relations with sparse signal recovery are analyzed for further future research lines.

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Section: Compressed Sensingmentioning

confidence: 99%

A novel physical layer scheme based on superposition codes

Savazzi

Vizziello

2017

J Wireless Com Network

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“…The precondition of these two assumes are appropriate delay and channel estimation. As previous research has shown, in addition to detecting activity and data, it is feasible for CS in detecting delays and channel coefficients [16,17].…”

Section: Sporadic Idma Transmission System Modelmentioning

confidence: 99%

Multi-User Detection for Sporadic IDMA Transmission Based on Compressed Sensing

Kang

et al. 2017

Entropy

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Abstract:The Internet of Things (IoT) is placing new demands on existing communication systems. The limited orthogonal resources do not meet the demands of massive connectivity of future IoT systems that require efficient multiple access. Interleave-division multiple access (IDMA) is a promising method of improving spectral efficiency and supporting massive connectivity for IoT networks. In a given time, not all sensors signal information to an aggregation node, but each node transmits a short frame on occasion, e.g., time-controlled or event-driven. The sporadic nature of the uplink transmission, low data rates, and massive connectivity in IoT scenarios necessitates minimal control overhead communication schemes. Therefore, sensor activity and data detection should be implemented on the receiver side. However, the current chip-by-chip (CBC) iterative multi-user detection (MUD) assumes that sensor activity is precisely known at the receiver. In this paper, we propose three schemes to solve the MUD problem in a sporadic IDMA uplink transmission system. Firstly, inspired by the observation of sensor sparsity, we incorporate compressed sensing (CS) to MUD in order to jointly perform activity and data detection. Secondly, as CS detection could provide reliable activity detection, we combine CS and CBC and propose a CS-CBC detector. In addition, a CBC-based MUD named CBC-AD is proposed to provide a comparable baseline scheme.

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“…As stated in Section II, we assume a sporadic synchronous frame based medium access of the nodes parametrized by the per node activity probability p a . In the following we further assume that the nodes are synchronous at chip level, which is not a general restriction as shown in [18], [19]. Moreover perfect Channel State Information is assumed at the aggregation node, which could, e.g., be obtained via a training phase at the beginning of each frame [20] or by random coding inspired techniques as introduced in [21].…”

Section: A Setupmentioning

confidence: 99%

Compressed Sensing soft activity processing for sparse multi-user systems

Monsees

Bockelmann

Dekorsy

2013

2013 IEEE Globecom Workshops (GC Wkshps)

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Abstract-Performing joint activity and data detection has recently gained ubiquitous attention for reducing signaling overhead in multi-user Machine-to-Machine Communication systems. To this end investigations on the application of Compressed Sensing have focused on estimating data and node activity jointly in scenarios where the per node activity is very low. The focus of this paper is to enhance the performance of state of the art detectors by the utilization of soft information. In particular we provide a formulation of activity Log-Likelihood ratios, that we utilize to improve the activity detection.

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Coping with CDMA Asynchronicity in Compressive Sensing Multi-User Detection

Cited by 30 publications

References 12 publications

A novel physical layer scheme based on superposition codes

A novel physical layer scheme based on superposition codes

Multi-User Detection for Sporadic IDMA Transmission Based on Compressed Sensing

Compressed Sensing soft activity processing for sparse multi-user systems

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