38 research outputs found
Fundamental Limits of Wireless Caching Under Mixed Cacheable and Uncacheable Traffic
We consider cache-aided wireless communication scenarios where each user
requests both a file from an a-priori generated cacheable library (referred to
as 'content'), and an uncacheable 'non-content' message generated at the start
of the wireless transmission session. This scenario is easily found in
real-world wireless networks, where the two types of traffic coexist and share
limited radio resources. We focus on single-transmitter, single-antenna
wireless networks with cache-aided receivers, where the wireless channel is
modelled by a degraded Gaussian broadcast channel (GBC). For this setting, we
study the delay-rate trade-off, which characterizes the content delivery time
and non-content communication rates that can be achieved simultaneously. We
propose a scheme based on the separation principle, which isolates the coded
caching and multicasting problem from the physical layer transmission problem.
We show that this separation-based scheme is sufficient for achieving an
information-theoretically order optimal performance, up to a multiplicative
factor of 2.01 for the content delivery time, when working in the generalized
degrees of freedom (GDoF) limit. We further show that the achievable
performance is near-optimal after relaxing the GDoF limit, up to an additional
additive factor of 2 bits per dimension for the non-content rates. A key
insight emerging from our scheme is that in some scenarios considerable amounts
of non-content traffic can be communicated while maintaining the minimum
content delivery time, achieved in the absence of non-content messages;
compliments of 'topological holes' arising from asymmetries in wireless channel
gains.Comment: Accepted for publication in the IEEE Transactions on Information
Theor
Optimizing Resource Allocation with Energy Efficiency and Backhaul Challenges
To meet the requirements of future wireless mobile communication which aims to increase the data rates, coverage and reliability while reducing energy consumption and latency, and also deal with the explosive mobile traffic growth which imposes high demands on backhaul for massive content delivery, developing green communication and reducing the backhaul requirements have become two significant trends. One of the promising techniques to provide green communication is wireless power transfer (WPT) which facilitates energy-efficient architectures, e.g. simultaneous wireless information and power transfer (SWIPT). Edge caching, on the other side, brings content closer to the users by storing popular content in caches installed at the network edge to reduce peak-time traffic, backhaul cost and latency. In this thesis, we focus on the resource allocation technology for emerging network architectures, i.e. the SWIPT-enabled multiple-antenna systems and cache-enabled cellular systems, to tackle the challenges of limited resources such as insufficient energy supply and backhaul capacity. We start with the joint design of beamforming and power transfer ratios for SWIPT in MISO broadcast channels and MIMO relay systems, respectively, aiming for maximizing the energy efficiency subject to both the Quality of Service (QoS) constraints and energy harvesting constraints. Then move to the content placement optimization for cache-enabled heterogeneous small cell networks so as to minimize the backhaul requirements. In particular, we enable multicast content delivery and cooperative content sharing utilizing maximum distance separable (MDS) codes to provide further caching gains. Both analysis and simulation results are provided throughout the thesis to demonstrate the benefits of the proposed algorithms over the state-of-the-art methods
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