On the Impact of Mode Selection on Effective Capacity of Device-to-Device Communication

Shah, Syed Waqas Haider; Rahman, Muhammad Mahboob Ur; Mian, Adnan Noor; Imran, Ali; Mumtaz, Shahid; Dobre, Octavia A.

doi:10.1109/lwc.2019.2901460

Cited by 32 publications

(28 citation statements)

References 16 publications

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“…Now to find the EC (EC AP ) and r * max,AP , one needs to recompute the mean and variance by substituting¯ AP in (21) and (22). EC AP and r * max,AP can then be computed by substituting these new expressions of mean and variance in (9) and (12), respectively.…”

Section: ) Wifi-assisted D2d Communicationmentioning

confidence: 99%

“…Due to the realistic statistical QoS guarantees it offers, EC has sparked great interest among the researchers as numerous works have been reported in the literature. To date, EC based statistical QoS guarantee analysis has been carried out for various different wireless communication scenarios including but not limited to D2D [12], cognitive radio networks [13], wireless local area networks (WLANs) [14], wireless sensor networks (WSNs) [15], 5G cellular networks [16], to name a few selected works. On the other hand, D2D communication has been widely studied but the integration of D2D communication in licensed and unlicensed spectrum interoperable wireless systems is still a question mark.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Qos Guarantees for Licensed-Unlicensed Spectrum Interoperable D2D Communication

2020

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In this paper, we propose network-assisted device-to-device (D2D) communication in licensed and unlicensed spectrum interoperable networks, to improve D2D users' throughput while alleviating the spectrum scarcity issue of cellular networks. The idea of licensed and unlicensed spectrum interoperability is based on the findings of the IEEE 1932.1 working group. Conventionally, D2D users were only able to communicate by using either cellular or non-cellular networks and no interoperability mechanism was available. The proposed scheme brings in many benefits including but not limited to higher D2D users' throughput, alleviation in spectrum scarcity issue of cellular networks, and better network management. However, ensuring quality-of-service (QoS) in this dynamic environment is a challenging task. To this end, we analyze the QoS using a well-known analytical tool "Effective Capacity (EC)" for eNodeB-assisted as well as WiFi-assisted D2D communication. Moreover, we also see the impact of neighboring cells' load and full-duplex transceiver at eNodeB and WiFi access point on the EC of D2D users. Simulation results show that EC increases with a decrease in neighboring cell's load and decreases when more stringent QoS constraints are imposed. Results also show that the maximum sustainable source rate at the transmitter's queue increases with an increase in maximum allowed packet delay but converges to a maximum value soon after that. INDEX TERMS Licensed-unlicensed spectrum interoperatability, D2D communication, effective capacity, quality-of-service.

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Section: ) Wifi-assisted D2d Communicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical Qos Guarantees for Licensed-Unlicensed Spectrum Interoperable D2D Communication

2020

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“…The downside of this proposal is that the acquisition of the channel quality information of all possible communication links in the system has a non-negligible cost that can compromise the feasibility of the mode selection scheme. The work in [22] proposes that an UE selects the direct D2D link if the pathloss of the D2D link is lower than the pathloss experienced between the UE and the BS. Authors of [22] studied the impact of the errors of the pathloss measurements on the maximum effective communication capacity (i.e., the maximum sustainable constant arrival rate at the transmitter under QoS constraints).…”

Section: Related Workmentioning

confidence: 99%

“…The work in [22] proposes that an UE selects the direct D2D link if the pathloss of the D2D link is lower than the pathloss experienced between the UE and the BS. Authors of [22] studied the impact of the errors of the pathloss measurements on the maximum effective communication capacity (i.e., the maximum sustainable constant arrival rate at the transmitter under QoS constraints). They demonstrated that the effective capacity exponentially decreases as the pathloss measurements become noisier.…”

Section: Related Workmentioning

confidence: 99%

Context-Aware Mode Selection for 5G Multi-Hop Cellular Networks

2019

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In the present day, 5G and beyond networks are being designed to support the future increase of data traffic and service demands. To support such increase, 5G networks will incorporate device-centric technologies with adequate mechanisms to scale and handle the growing and very large number of connected devices and traffic demands. Device-centric technologies include Device-to-Device (D2D) communications and Multi-hop Cellular Networks (MCNs). In device-centric wireless networks, devices will be able to connect to the network using two different connection modes: through a traditional cellular connection, or through a multi-hop cellular connection based on D2D communications with intermediate mobile devices. Device-centric technologies will therefore provide new connectivity options and significant opportunities to enhance the capacity and efficiency of 5G networks. However, new challenges will need to be addressed. One of them is the selection of the most adequate connection mode for each mobile device, because it will be key to improve the network performance and efficiency. This work proposes a context-aware mode selection scheme capable of identifying and selecting the most adequate connection mode for each device under a wide range of deployment and operating conditions. The proposed scheme estimates the benefits and risks of each connection mode based on context information available at the base station guaranteeing low signaling overhead. The obtained results show that the proposed mode selection scheme helps achieving throughput gains higher than 200% compared to traditional single-hop cellular communications for devices at the cell edge, and significant gains are also achieved compared to other mode selection schemes implemented and evaluated.

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“…Among them, the Device-to-device (D2D) technique, which enables the D2D peers to communicate directly without relying on the involvement of base stations (BSs), has attracted a wide concern. In the past few years, D2D technique has exhibited several promising advantages, such as the capabilities of substantially improving the spectral efficiency of wireless networks, significantly relieving the heavy traffic burden of the BSs, enhancing the connectivity of mobile devices, and saving power of mobile terminals, etc [13]- [23].…”

Section: Introductionmentioning

confidence: 99%

Maximum and Optimal Number of Activated Links for D2D-Aided Underlaying Cellular Networks

Sun

Zhang

et al. 2020

IEEE Access

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With the rapid popularity of smart terminals, the device-to-device(D2D) communication is recognized as one of the most promising techniques in the fifth-generation(5G) communications networks due to its capabilities of substantially improving the spectral efficiency, relieving the traffic burden in the base stations(BSs), and reducing the terminals' power consumptions, etc. By properly activating some D2D links(DLs), the sum data rate of the D2D-aided cellular networks(CNs) can be substantially improved. However, constrained by the severe interference imposed on the conventional cellular users (CUs) by the activating D2D users (DUs), the sum data rate of the D2D-aided CNs cannot be unlimitedly improved in a crude way of simply increasing the number/density of DLs. In other words, there must exist a maximum/optimal number of activating DLs in terms of the sum data rate, as revealed in this paper. By identifying the maximum/optimal number of activating DLs, the closed-form expressions for sum data rates of both cellular links(CLs) and DLs can be obtained. Numerical results show that the optimum number of activating DLs, as a function of several critical parameters such as DU's transmit power, signalto-interference-plus-noise ratio threshold and outage probability of CLs/DLs, etc, can be determined by implementing the proposed algorithms.

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On the Impact of Mode Selection on Effective Capacity of Device-to-Device Communication

Cited by 32 publications

References 16 publications

Statistical Qos Guarantees for Licensed-Unlicensed Spectrum Interoperable D2D Communication

Statistical Qos Guarantees for Licensed-Unlicensed Spectrum Interoperable D2D Communication

Context-Aware Mode Selection for 5G Multi-Hop Cellular Networks

Maximum and Optimal Number of Activated Links for D2D-Aided Underlaying Cellular Networks

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