344 research outputs found
Energy-Efficient Coordinated Multi-Cell Multigroup Multicast Beamforming with Antenna Selection
This paper studies energy-efficient coordinated beamforming in multi-cell
multi-user multigroup multicast multiple-input single-output systems. We aim at
maximizing the network energy efficiency by taking into account the fact that
some of the radio frequency chains can be switched off in order to save power.
We consider the antenna specific maximum power constraints to avoid non-linear
distortion in power amplifiers and user-specific quality of service (QoS)
constraints to guarantee a certain QoS levels. We first introduce binary
antenna selection variables and use the perspective formulation to model the
relation between them and the beamformers. Subsequently, we propose a new
formulation which reduces the feasible set of the continuous relaxation,
resulting in better performance compared to the original perspective
formulation based problem. However, the resulting optimization problem is a
mixed-Boolean non-convex fractional program, which is difficult to solve. We
follow the standard continuous relaxation of the binary antenna selection
variables, and then reformulate the problem such that it is amendable to
successive convex approximation. Thereby, solving the continuous relaxation
mostly results in near-binary solution. To recover the binary variables from
the continuous relaxation, we switch off all the antennas for which the
continuous values are smaller than a small threshold. Numerical results
illustrate the superior convergence result and significant achievable gains in
terms of energy efficiency with the proposed algorithm.Comment: 6 pages, 5 figures, accepted to IEEE ICC 2017 - International
Workshop on 5G RAN Desig
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge
Fog Radio Access Networks (F-RAN) are gaining worldwide interests for
enabling mobile edge computing for Beyond 5G. However, to realize the future
real-time and delay-sensitive applications, F-RAN tailored radio resource
allocation and interference management become necessary. This work investigates
user association and beamforming issues for providing energy efficient F-RANs.
We formulate the energy efficiency maximization problem, where the F-RAN
specific constraint to guarantee local edge processing is explicitly
considered. To solve this intricate problem, we design an algorithm based on
the Augmented Lagrangian (AL) method. Then, to alleviate the computational
complexity, a heuristic low-complexity strategy is developed, where the tasks
are split in two parts: one solving for user association and Fog Access Points
(F-AP) activation in a centralized manner at the cloud, based on global but
outdated user Channel State Information (CSI) to account for fronthaul delays,
and the second solving for beamforming in a distributed manner at each active
F-AP based on perfect but local CSIs. Simulation results show that the proposed
heuristic method achieves an appreciable performance level as compared to the
AL-based method, while largely outperforming the energy efficiency of the
baseline F-RAN scheme and limiting the sum-rate degradation compared to the
optimized sum-rate maximization algorithm
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
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