299 research outputs found
Cross-layer optimization for cooperative content distribution in multihop device-to-device networks
With the ubiquity of wireless network and the intelligentization of machines, Internet of Things (IoT) has come to people's horizon. Device-to-device (D2D), as one advanced technique to achieve the vision of IoT, supports a high speed peer-to-peer transmission without fixed infrastructure forwarding which can enable fast content distribution in local area. In this paper, we address the content distribution problem by multihop D2D communication with decentralized content providers locating in the networks. We consider a cross-layer multidimension optimization involving frequency, space, and time, to minimize the network average delay. Considering the multicast feature, we first formulate the problem as a coalitional game based on the payoffs of content requesters, and then, propose a time-varying coalition formation-based algorithm to spread the popular content within the shortest possible time. Simulation results show that the proposed approach can achieve a fast content distribution across the whole area, and the performance on network average delay is much better than other heuristic approaches
A fast and reliable broadcast service for LTE-advanced exploiting multihop device-to-device transmissions
Several applications, from the Internet of Things for smart cities to those for vehicular networks, need fast and reliable proximity-based broadcast communications, i.e., the ability to reach all peers in a geographical neighborhood around the originator of a message, as well as ubiquitous connectivity. In this paper, we point out the inherent limitations of the LTE (Long-Term Evolution) cellular network, which make it difficult, if possible at all, to engineer such a service using traditional infrastructure-based communications. We argue, instead, that network-controlled device-to-device (D2D) communications, relayed in a multihop fashion, can efficiently support this service. To substantiate the above claim, we design a proximity-based broadcast service which exploits multihop D2D. We discuss the relevant issues both at the UE (User Equipment), which has to run applications, and within the network (i.e., at the eNodeBs), where suitable resource allocation schemes have to be enforced. We evaluate the performance of a multihop D2D broadcasting using system-level simulations, and demonstrate that it is fast, reliable and economical from a resource consumption standpoint
Broadcasting in LTE-Advanced networks using multihop D2D communications
In an LTE-Advanced network, network-controlled
Device-to-Device (D2D) communications can be combined in a
multihop fashion to distribute broadcasts over user-defined (and
possibly large) areas, with small latencies and occupying few
resources. Such a service may be exploited for several purposes,
(e.g. Internet of Things, Vehicular communications). Engineering
a multihop D2D-based broadcast service requires working at
both the application level on the User Equipment (UE) and at the
resource-allocation level within the eNodeBs. This paper
describes the necessary modifications at both the UE and the
eNodeB, what the main issues are, and how to solve them
efficiently. We evaluate the performance of the above service
using system-level simulations, and demonstrate its advantages
over standard broadcasting techniques
Performance Analysis of Network-Assisted Two-Hop D2D Communications
Network-assisted single-hop device-to-device (D2D) communication can increase
the spectral and energy efficiency of cellular networks by taking advantage of
the proximity, reuse, and hop gains when radio resources are properly managed
between the cellular and D2D layers. In this paper we argue that D2D technology
can be used to further increase the spectral and energy efficiency if the key
D2D radio resource management algorithms are suitably extended to support
network assisted multi-hop D2D communications. Specifically, we propose a
novel, distributed utility maximizing D2D power control (PC) scheme that is
able to balance spectral and energy efficiency while taking into account mode
selection and resource allocation constraints that are important in the
integrated cellular-D2D environment. Our analysis and numerical results
indicate that multi-hop D2D communications combined with the proposed PC scheme
can be useful not only for harvesting the potential gains previously identified
in the literature, but also for extending the coverage of cellular networks.Comment: 6 pages and 7 figure
Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks
Device to Device (D2D) Communication is one of the technology components of
the evolving 5G architecture, as it promises improvements in energy efficiency,
spectral efficiency, overall system capacity, and higher data rates. The above
noted improvements in network performance spearheaded a vast amount of research
in D2D, which have identified significant challenges that need to be addressed
before realizing their full potential in emerging 5G Networks. Towards this
end, this paper proposes the use of a distributed intelligent approach to
control the generation of D2D networks. More precisely, the proposed approach
uses Belief-Desire-Intention (BDI) intelligent agents with extended
capabilities (BDIx) to manage each D2D node independently and autonomously,
without the help of the Base Station. The paper includes detailed algorithmic
description for the decision of transmission mode, which maximizes the data
rate, minimizes the power consumptions, while taking into consideration the
computational load. Simulations show the applicability of BDI agents in jointly
solving D2D challenges.Comment: 10 pages,9 figure
Recent Advances in Cellular D2D Communications
Device-to-device (D2D) communications have attracted a great deal of attention from researchers in recent years. It is a promising technique for offloading local traffic from cellular base stations by allowing local devices, in physical proximity, to communicate directly with each other. Furthermore, through relaying, D2D is also a promising approach to enhancing service coverage at cell edges or in black spots. However, there are many challenges to realizing the full benefits of D2D. For one, minimizing the interference between legacy cellular and D2D users operating in underlay mode is still an active research issue. With the 5th generation (5G) communication systems expected to be the main data carrier for the Internet-of-Things (IoT) paradigm, the potential role of D2D and its scalability to support massive IoT devices and their machine-centric (as opposed to human-centric) communications need to be investigated. New challenges have also arisen from new enabling technologies for D2D communications, such as non-orthogonal multiple access (NOMA) and blockchain technologies, which call for new solutions to be proposed. This edited book presents a collection of ten chapters, including one review and nine original research works on addressing many of the aforementioned challenges and beyond
Qos Provisioning for Energy Efficiency in Mobile Ad-Hoc Network
In mobile ad-hoc networks Quality of Service QoS of a multicast routing protocol is one of the most key performance metrics Slotconditions and network topology frequently change Topology dynamic and in order to achieve a certain level of QoS complexalgorithms and protocols are needed Network graph conditionsare neglected during the design of aexisting multicast protocol However vulnerability against network graph errors can severely affect theperformance of a multicast protocol To address this here the author proposesanenergy efficient network graph pre-processing approach to enable traffic engineering and enhance the performance of energy efficiency in terms of network efficiency by QoSprovisioning to cater the multicast routing issue in MANETS In this approach prioritized admission control PAC scheme is implemented to improvise D2D Device to Device communications into cellular network to overcome the limitations of MANET
Low-latency Networking: Where Latency Lurks and How to Tame It
While the current generation of mobile and fixed communication networks has
been standardized for mobile broadband services, the next generation is driven
by the vision of the Internet of Things and mission critical communication
services requiring latency in the order of milliseconds or sub-milliseconds.
However, these new stringent requirements have a large technical impact on the
design of all layers of the communication protocol stack. The cross layer
interactions are complex due to the multiple design principles and technologies
that contribute to the layers' design and fundamental performance limitations.
We will be able to develop low-latency networks only if we address the problem
of these complex interactions from the new point of view of sub-milliseconds
latency. In this article, we propose a holistic analysis and classification of
the main design principles and enabling technologies that will make it possible
to deploy low-latency wireless communication networks. We argue that these
design principles and enabling technologies must be carefully orchestrated to
meet the stringent requirements and to manage the inherent trade-offs between
low latency and traditional performance metrics. We also review currently
ongoing standardization activities in prominent standards associations, and
discuss open problems for future research
- …