Device Discovery Signal Design for Proximal Devices in D2D Communication

Hayat, Omar; Ngah, Razali; Zahedi, Yasser

doi:10.1007/s11277-019-06435-6

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…Along with these issues, fast DD in single and multi-cell also will be needed. DD signal is designed in [94] for D2D communication, in which the reference signal is multiplexed utilizing Zadoff-Chu (ZC) sequence detection and transmission. The results validate that the proposed design is robust against collision and delivers fast and accurate DD for the dense area.…”

Section: B Recent Advances In Dd Methodologiesmentioning

confidence: 99%

Device Discovery in D2D Communication: A Survey

et al. 2019

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Device to Device (D2D) communication was first considered in out-band to manage energy issues in the wireless sensor networks. The primary target was to secure information about system topology for successive communication. Now the D2D communication has been legitimated in in-band by the 3rd Generation Partnership Project (3GPP). To initiate D2D communication, Device Discovery (DD) is a primary task and every D2D application benefits from DD as an end to end link maintenance and data relay when the direct path is obstructed. The DD is facing new difficulties because of the mobility of the devices over static systems, and the mobility makes it more challenging for D2D communication. For in-band D2D, DD in a single cell and multi-cell, and dense area is not legitimated properly, causing latency, inaccuracy, and energy consumption. Among extensive studies on limiting energy consumption and latency, DD is one of the essential parts concentrating on access and communication. In this paper, a comprehensive survey on DD challenges, for example single cell/multi-cell and dense area DD, energy consumption during discovery, discovery delay, and discovery security, etc., has been presented to accomplish an effective paradigm of D2D networks. In order to undertake the device (user) needs, an architecture has been projected, which promises to overwhelm the various implementation challenges of DD. The paper mainly focuses on DD taxonomy and classification with an emphasis on discovery procedures and algorithms, a summary of advances and issues, and ways for potential enhancements. For ensuring a secure DD and D2D, auspicious research directions have been proposed, based on taxonomy.

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Section: B Recent Advances In Dd Methodologiesmentioning

confidence: 99%

Device Discovery in D2D Communication: A Survey

et al. 2019

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“…Pseudo-random shuffling (PRS), 7 recursive binary time partitioning (RBTP), 7 and FlashLinQ 8 have proposed synchronous device discovery protocols. In a dense network, nevertheless, they have not prevented the devices Asynchronized [14][15][16][17][18][19][20] Signaling aspect Packet-based 21,22 Randomness aspect Probabilistic 23 Signature-based 24,25 Deterministic [14][15][16][17][18][19][20] Hybrid 26 Message sending aspect Request-response 26,27 Synchronization aspect Synchronized 25 Direct 14,[16][17][18][19][20] Asynchronized (PRACH) 24 from collisions when multiple devices transmit in the same slots. Most of the proposals [14][15][16][17][18][19][20] suppose that the devices are asynchronous and have different slot indexes at a time.…”

Section: Protocols In Synchronized Networkmentioning

confidence: 99%

“…However, additional signaling is needed for a successful discovery. LTE PRACH 24 and the method proposed by Hayat et al 25 are examples of this type of signaling. There are also hybrid studies in which these two types of signaling are used together 26 …”

Section: Related Workmentioning

confidence: 99%

SERDP: Signature‐based and energy‐efficient relay discovery protocol for Internet of Things in cellular networks

Çavdar

Kakız

Günay

et al. 2021

Int J Communication

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With the proliferation of Internet of Things (IoT), a large number of devices are expected to connect to the Internet over different networks due to various demands and characteristics of IoT devices (IoTDs). One of the networks that will connect IoTDs to the Internet is cellular networks. The 3rd Generation Partnership Project (3GPP) proposes a connectivity model for cellular networks in which IoTDs connect to the network via relay devices. In this model, discovering the relay devices is a challenging task due to energy budget constraints, mobility of devices, and collision of discovery messages. Since IoTDs are constrained devices, it is important that they perform discovery with the minimum energy consumption by intermittently sleeping and waking up. In this paper, we propose signature-based and energy-efficient relay discovery protocol (SERDP) using Zadoff-Chu sequences. Since Zadoff-Chu is a Constant Amplitude Zero Autocorrelation (CAZAC) sequence, we use the sequence for pointing the active slots of the devices within the proposed three-stage original period structure. The probabilistic analysis and simulation results show that SERDP discovers more devices with less energy consumption as well as preventing collisions, as compared with the existing protocols.

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“…They establish a dynamic infrastructure to backhaul traffic to the core of the network as we show in Figure 3 in case of a network failure to sustain communication and enhance reliability through mobile BSs in the network [88,89]. As claimed in [89,90], in D2D communications, an optimal threshold value for density of BSs is required to enhance the network performance.…”

Section: Ubiquitous Coverage and Connectivitymentioning

confidence: 99%