Full length articleAnalytical study of a service discovery system based on an LTE-A D2D implementation
Introduction
The usage of mobile apps on smart phones and tablets has exploded during the recent years, and will continue to increase exponentially according to the 2015 Mobile Economy Report [1], which envisions an additional one billion subscribers by 2020. This growth will lead to huge mobile data traffic on the network, thus, raising the flag to find ways to increase the network capacity and accommodate these bandwidth consuming applications and services. The Third-Generation Partnership Project (3GPP) has defined data offloading as a solution to cope with this problem and produced a new Rel-12 item, named “Study on Proximity-Based Services (ProSe)”, to identify the potential requirements for an operator to integrate Device-to-Device (D2D) communication in their networks [2]. This technology has been proposed as a promising concept to improve user experiences and resource utilization in cellular networks by taking advantage of users’ proximity. That is, with D2D, two mobile devices in proximity of each other, can establish a direct local link and bypass the base station (eNodeB), thus (1) enabling very high bit rates, low delays, and low power consumption [3]; (2) improving spectrum reuse and system throughput since the radio resources may be simultaneously used by cellular and D2D links; and (3) offering a hop gain since the link in the D2D mode is single rather than using both an uplink and downlink resource [4]. Researchers working on D2D communication have proposed solutions to challenges, like resource allocation and resource management, to coordinate between cellular and D2D users [5], [6]. However, only few works were done to propose enhancements at the architecture level for incorporating D2D communication in LTE-A. Accordingly, this paper aims to fill this gap, and makes the following contributions:
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It offers a solution for service registration and peer discovery, as they represent the key functions of a D2D communication framework. Our work fits the LTE architecture and conforms to the relevant standards. We use the same architectural elements, but add few functions and signaling messages to these elements.
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It extends the concept of network services in the LTE-A literature and the use cases in the ProSe standards by integrating cloud computing-like services, and adding the concept of “Provider UE” and “Requester UE”.
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It removes the assumption used in the ProSe standards, whereby a device knows the ID of the other device searching for. In our framework, the UE can search for a desired service, not a specific UE, with the use of keywords, leaving it up to the LTE network to locate devices in proximity that offer the requested services.
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It offers a system that allows providers of arbitrary services (and are subscribers to the cellular system) to advertise their services through the LTE-A system, and other users (also subscribers) to discover such services and consume them through integrating the concept of cloudlets into the D2D framework.
The rest of this paper is organized as follows: Section 2 covers the related work in the literature and the standards, while Section 3 describes the details of our proposed scheme for service registration and discovery. Section 4 analyzes the system performance, and Section 5 concludes the paper and proposes future related works.
Section snippets
Literature review
The literature discussing D2D service discovery is divided between relying on the UE’s ability to find the other mobile device it wants to communicate with, and involving the network in this process. In the first category, UEs will have to regularly transmit beacons to enable other UEs to discover them. This is the scheme used in the FlashLinQ system [7], which was developed by Qualcomm [8]. Such a scheme is however time and energy consuming since scanning for devices may end up draining the
System model
We base our design on the EPC-level discovery approach described in [26], where it is the responsibility of the network to determine the proximity of the user equipments and inform them about it. By this, the UE-related time and energy consumption issues that are associated with direct discovery due to the overhead of sending and scanning for discovery beacons with a fixed periodicity will be resolved [25]. D2D is based on “Proximity”, which takes different criteria for discovery and
Analytical performance study
In this section, we analyze our proposed service-oriented D2D discovery system in order to gain insights about its performance. The considered performance metrics are: (1) signaling overhead due to adding signaling messages, i.e., with respect to those specified in the standard [27]; (2) messages cost relatively to the standards; (3) discovery performance versus several parameters, like the number of keywords chosen by the requesters and providers, number of providers in the network, distance
Conclusion
In this work, we presented a general design of a cloudlet-oriented D2D scheme, where a requester asks for a service through keywords, thus triggering the LTE network to locate devices in proximity that offer the requested services. Our proposed design built a cloudlet computing layer on top of the D2D communication layer, through enabling users to access proximity services running on mobile devices whose role in our architecture resembles that of a cloudlet. We accomplished this objective
Acknowledgment
This work was funded by a generous grant from the Lebanese National Council for Scientific Research (CNRS), Grant Number: 01-08-15/G 3526.
Salam Doumiati received the B.E. degree (with high distinction) in Electrical and Communications Engineering from Beirut Arab University, BAU, Lebanon, in July 2012, and the M.E. degree in Computer and Communications Engineering from the American University of Beirut, AUB, Lebanon, in January 2015. She is currently a Ph.D. student at AUB. Her research interests include mobile and wireless networks, LTE-A, knowledge discovery, and network security.
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Salam Doumiati received the B.E. degree (with high distinction) in Electrical and Communications Engineering from Beirut Arab University, BAU, Lebanon, in July 2012, and the M.E. degree in Computer and Communications Engineering from the American University of Beirut, AUB, Lebanon, in January 2015. She is currently a Ph.D. student at AUB. Her research interests include mobile and wireless networks, LTE-A, knowledge discovery, and network security.
Hassan Artail is a Professor at AUB where he is doing research in Internet and mobile computing. During the past eleven years, Dr. Artail has published over 200 papers in top conferences and reputable journals. He obtained his B.S. with high distinction and M.S. degrees in Electrical Engineering from the University of Detroit in 1985 and 1986, and a Ph.D. in Electrical and Computer Engineering from Wayne State University in 1999. Before joining AUB in 2001, Dr. Artail was a system development supervisor at the Scientific Labs of Chrysler Corp., where he worked for 11 years with system development for vehicle testing applications. Dr. Artail is the winner of the 2012 Lebanese National Research Council Award for research excellence in IT.