72 research outputs found
Resource Allocation for Energy-Efficient Device-to-Device Communication in 4G Networks
Device-to-device (D2D) communications as an underlay of a LTE-A (4G) network
can reduce the traffic load as well as power consumption in cellular networks
by way of utilizing peer-to-peer links for users in proximity of each other.
This would enable other cellular users to increment their traffic, and the
aggregate traffic for all users can be significantly increased without
requiring additional spectrum. However, D2D communications may increase
interference to cellular users (CUs) and force CUs to increase their transmit
power levels in order to maintain their required quality-of-service (QoS). This
paper proposes an energy-efficient resource allocation scheme for D2D
communications as an underlay of a fully loaded LTE-A (4G) cellular network.
Simulations show that the proposed scheme allocates cellular uplink resources
(transmit power and channel) to D2D pairs while maintaining the required QoS
for D2D and cellular users and minimizing the total uplink transmit power for
all users.Comment: 2014 7th International Symposium on Telecommunications (IST'2014
Radio Link Enabler for Context-aware D2D Communication in Reuse Mode
Device-to-Device (D2D) communication is considered as one of the key
technologies for the fifth generation wireless communication system (5G) due to
certain benefits provided, e.g. traffic offload and low end-to-end latency. A
D2D link can reuse resource of a cellular user for its own transmission, while
mutual interference in between these two links is introduced. In this paper, we
propose a smart radio resource management (RRM) algorithm which enables D2D
communication to reuse cellular resource, by taking into account of context
information. Besides, signaling schemes with high efficiency are also given in
this work to enable the proposed RRM algorithm. Simulation results demonstrate
the performance improvement of the proposed scheme in terms of the overall cell
capacity
Distributed Interference-Aware Energy-Efficient Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks
The introduction of device-to-device (D2D) into cellular networks poses many
new challenges in the resource allocation design due to the co-channel
interference caused by spectrum reuse and limited battery life of user
equipments (UEs). In this paper, we propose a distributed interference-aware
energy-efficient resource allocation algorithm to maximize each UE's energy
efficiency (EE) subject to its specific quality of service (QoS) and maximum
transmission power constraints. We model the resource allocation problem as a
noncooperative game, in which each player is self-interested and wants to
maximize its own EE. The formulated EE maximization problem is a non-convex
problem and is transformed into a convex optimization problem by exploiting the
properties of the nonlinear fractional programming. An iterative optimization
algorithm is proposed and verified through computer simulations.Comment: 6 pages, 3 figures, IEEE GLOBECOM 201
Traffic-Aware Transmission Mode Selection in D2D-enabled Cellular Networks with Token System
We consider a D2D-enabled cellular network where user equipments (UEs) owned
by rational users are incentivized to form D2D pairs using tokens. They
exchange tokens electronically to "buy" and "sell" D2D services. Meanwhile the
devices have the ability to choose the transmission mode, i.e. receiving data
via cellular links or D2D links. Thus taking the different benefits brought by
diverse traffic types as a prior, the UEs can utilize their tokens more
efficiently via transmission mode selection. In this paper, the optimal
transmission mode selection strategy as well as token collection policy are
investigated to maximize the long-term utility in the dynamic network
environment. The optimal policy is proved to be a threshold strategy, and the
thresholds have a monotonicity property. Numerical simulations verify our
observations and the gain from transmission mode selection is observed.Comment: 7 pages, 6 figures. A shorter version is submitted to EUSIPC
A Survey on Device-to-Device Communication in 5G Wireless Networks
The Device-to-Device (D2D) communication model
in 5G networks provides a useful infrastructure to enable different
applications. D2D communication, with use of cellular or ad-hoc
links, improve the spectrum utilization, system throughput, and
energy efficiency of the network thereby preparing the ability for
the user equipment to start communications with each other in
proximity. The purpose of this paper is preparing a survey based
on the D2D communication and review the available literature
that in a widespread way research about the D2D paradigm,
different application scenarios, and use cases. Moreover, new
suspicion in this area that leads to identifying open research
problems of D2D communications in cellular networks.info:eu-repo/semantics/publishedVersio
Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications
In this letter, we investigate the tradeoff between energy efficiency (EE)
and spectral efficiency (SE) in device-to-device (D2D) communications
underlaying cellular networks with uplink channel reuse. The resource
allocation problem is modeled as a noncooperative game, in which each user
equipment (UE) is self-interested and wants to maximize its own EE. Given the
SE requirement and maximum transmission power constraints, a distributed
energy-efficient resource allocation algorithm is proposed by exploiting the
properties of the nonlinear fractional programming. The relationships between
the EE and SE tradeoff of the proposed algorithm and system parameters are
analyzed and verified through computer simulations.Comment: 8 pages, 6 figures, long version paper of IEEE Wireless
Communications Letters, accepted for publication. arXiv admin note: text
overlap with arXiv:1405.196
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