Cooperative Device-to-Device Discovery Model for Multiuser and OFDMA Network Base Neighbour Discovery in In-Band 5G Cellular Networks

Hayat, Omar; Ngah, Razali; Zahedi, Yasser

doi:10.1007/s11277-017-4745-7

Cited by 16 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When 10 devices are in the cluster, devices consume more energy (in dBm) compared to 20 to 50 devices in the cluster. The bat echolocation-based algorithm converges rapidly compared to other techniques presented in [30] and is shown in Fig. 12.…”

Section: Discovery Time the Derivation Of E[w]mentioning

confidence: 94%

Bat echolocation-based algorithm for device discovery in D2D communication

2020

Self Cite

View full text Add to dashboard Cite

Proximal device discovery is an essential initial phase in the installment of a device-to-device communication system in cellular networks. Therefore, an efficient device discovery scheme must be proposed with characteristics of minimum latency, discover maximum devices, and energy-efficient discovery in dense areas. In this paper, a bat echolocationbased algorithm derived from the bat algorithm is proposed and analyzed to fulfill the requirement of a proximal device discovery procedure for the cellular networks. The algorithm is applied to multiple hops and cluster devices when they are in a poor coverage zone. In this proposed algorithm, devices are not required to have prior knowledge of proximal devices, nor device synchronization is needed. It allows devices to start discovering instantly at any time and terminate the proximal device discovery session on completion of the discovery of the required proximal devices. Finally, device feedback is utilized to discover the hop devices in the clusters and analyze proximal discovery in a multi-hop setting. Along with this, a random device mobility pattern is defined based on human movement, and the device discovery algorithm is applied. The device discovery probability is calculated based on the contact duration and meeting time of the devices. We set up an upper bound less than 10 ms in long-term evolution of running time of the bat echolocationbased algorithm; this upper bound signifies the maximum degree of device discovery (more than 75% of the system) and the total number of devices. The outcomes thus imply that the proposed bat echolocation-based algorithm upper bound is better than 10 ms.

show abstract

Section: Discovery Time the Derivation Of E[w]mentioning

confidence: 94%

Bat echolocation-based algorithm for device discovery in D2D communication

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…A beaconing based DD protocol is presented in [9], [10], where devices communicate discovery information using OFDMA. The devices look for beacon signals to locate discrete devices in the vicinity during the early DD stage.…”

Section: Dd Protocolsmentioning

confidence: 99%

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

et al. 2020

Self Cite

View full text Add to dashboard Cite

Device to Device (D2D) communications is a candidate technology for the fifth-generation (5G) and beyond mobile networks and certainly that results in high throughput, less energy consumption, reduce delay, and data traffic offload. Proximity services are the key enablers of D2D communications. A D2D technology boosts the performance and capacity of a conventional cellular system through the proximity services. To initiate the proximity services, Device Discovery (DD) is one of the the primary tasks. A DD makes the decision for effective D2D communications in terms of accuracy, speed, and minimum energy consumption. To discover the neighbor devices, the discovery signal is transmitted directly or through some access points. The discovery signal is affected by invaders during transmission which causes inaccuracy, energy consumption, and latency. Therefore, security and privacy issues must be addressed, especially in discovery signal transmission. In this paper, security and privacy issues in DD are highlighted. It is comprehensive and proves that in-band is much better than out-band with practical and technological reasons. To enhance the scope of the research, network level, and system level Security and Privacy (S&P) issues in the distributed and centralized systems environment with or without central management are surveyed. Along with an extensive survey is provided for the most recent work on DD concerning security and privacy issues, and comparison among in-band and out-band DD is performed. In the end, open issues are identified as future work on DD security and privacy in D2D communications. It is a novel survey in terms of security and privacy aspects of DD with possible suggested solutions for readers' motivation.

show abstract

“…In general, devices in D2D communication may misuse both downlink and uplink resources for cellular communication [2]. In this work, we expect that device discovery uses uplink resources based on reusing the uplink transmission chain [17] Therefore, to ensure the excellent performance of device discovery, shared radio resources are suggested alternately with dedicated radio resources.…”

Section: Resources For Device Discoverymentioning

confidence: 99%

“…The potential enhancements in proximity services that can be given by D2D are not entirely exploited yet. In the 5G network, such confinement does not exist any longer, and it is anticipated that D2D operation in the in-band cellular network will be locally incorporated as a component without any bounds in the 5G network [2]. The in-band cellular network is considered in this research because interference and resource allocation is controlled by the base station or center system [3].…”

Section: Introductionmentioning

confidence: 99%

Device discovery for D2D communication in in-band cellular networks using sphere decoder like (SDL) algorithm

Hayat

Ngah

Zahedi

2018

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

In the fifth generation (5G), it is anticipated that device-to-device (D2D) operation will be locally incorporated as a part without any bounds. In D2D network, multiple devices coexisting is a challenging subject of device discovery. The device discovery is performed under a visually impaired situation such as channel information, location, and the number of devices. In this paper, centralized device discovery is chosen due to power consumption and signaling overhead of the distributed system. A distinctive approach for device discovery in an in-band cellular network, based on the device's power, is suggested with an efficient technique which enhances the implementation of D2D communication and improves the accomplishment by alleviating the discovery issues. The group of devices forms a lattice structure, and it is positioned in the coverage area. The hypersphere is constructed based on the power knowledge of a discoverer device which helps for accurate and fast device discovery in a lattice structure. Besides, sphere decoder like (SDL) algorithm is applied for quick and precise discovery in the lattice structure. Simulation results present the performance of the proposed QR factorized lattice structure scheme regarding device power, enhanced in the number of discovered devices and controlled signaling overhead.

show abstract

Cooperative Device-to-Device Discovery Model for Multiuser and OFDMA Network Base Neighbour Discovery in In-Band 5G Cellular Networks

Cited by 16 publications

References 23 publications

Bat echolocation-based algorithm for device discovery in D2D communication

Bat echolocation-based algorithm for device discovery in D2D communication

A Survey on Security and Privacy Challenges in Device Discovery for Next-Generation Systems

Device discovery for D2D communication in in-band cellular networks using sphere decoder like (SDL) algorithm

Contact Info

Product

Resources

About