23 research outputs found
How Much Can D2D Communication Reduce Content Delivery Latency in Fog Networks with Edge Caching?
A Fog-Radio Access Network (F-RAN) is studied in which cache-enabled Edge
Nodes (ENs) with dedicated fronthaul connections to the cloud aim at delivering
contents to mobile users. Using an information-theoretic approach, this work
tackles the problem of quantifying the potential latency reduction that can be
obtained by enabling Device-to-Device (D2D) communication over out-of-band
broadcast links. Following prior work, the Normalized Delivery Time (NDT) --- a
metric that captures the high signal-to-noise ratio worst-case latency --- is
adopted as the performance criterion of interest. Joint edge caching, downlink
transmission, and D2D communication policies based on compress-and-forward are
proposed that are shown to be information-theoretically optimal to within a
constant multiplicative factor of two for all values of the problem parameters,
and to achieve the minimum NDT for a number of special cases. The analysis
provides insights on the role of D2D cooperation in improving the delivery
latency.Comment: Submitted to the IEEE Transactions on Communication
Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN
In a Fog-Radio Access Network (F-RAN), edge caching and fronthaul
connectivity to a cloud processor are utilized for the purpose of content
delivery. Additional Device-to-Device (D2D) communication capabilities can
support the operation of an F-RAN by alleviating fronthaul and cloud processing
load, and reducing the delivery time. In this work, basic limits on the
normalized delivery time (NDT) metric, which captures the high signal-to-noise
ratio worst-case latency for delivering any requested content to the users, are
derived. Assuming proactive offline caching, out-of-band D2D communication, and
an F-RAN with two edge nodes and two users, an information-theoretically
optimal caching and delivery strategy is presented. Unlike prior work, the NDT
performance is studied under pipelined transmission, whereby the edge nodes
transmit on the wireless channel while simultaneously receiving messages over
the fronthaul links, and the users transmit messages over the D2D links while
at the same time receiving on the wireless channel. Insights are provided on
the regimes in which D2D communication is beneficial, and the maximum
improvement to the latency is characterized.Comment: This work was presented at 2018 15th International Symposium on
Wireless Communication Systems (ISWCS). arXiv admin note: text overlap with
arXiv:1904.01256, arXiv:1801.0075
Fundamental Latency Limits for D2D- Aided Content Delivery in Fog Wireless Networks
Device-to-Device (D2D) communication can support the operation of cellular
systems by reducing the traffic in the network infrastructure. In this paper,
the benefits of D2D communication are investigated in the context of a
Fog-Radio Access Network (F-RAN) that leverages edge caching and fronthaul
connectivity for the purpose of content delivery. Assuming offline caching,
out-of-band D2D communication, and an F-RAN with two edge nodes and two user
equipments, an information-theoretically optimal caching and delivery strategy
is presented that minimizes the delivery time in the high signal-to-noise ratio
regime. The delivery time accounts for the latency caused by fronthaul,
downlink, and D2D transmissions. The proposed optimal strategy is based on a
novel scheme for an X-channel with receiver cooperation that leverages tools
from real interference alignment. Insights are provided on the regimes in which
D2D communication is beneficial.Comment: 16 pages, 4 figures. Version 2 fixes some typos. A shorter version
has been accepted to ISIT 201
Latency Limits for Content Delivery in a Fog-RAN with D2D Communication
R. Karasik, O. Simeone and S. Shamai (Shitz), “Latency Limits for Content Delivery in a Fog-RAN with D2D Communication”, The 2019 IEEE International Symposium on Information Theory (ISIT2019), July 7-12, 2019, Paris, France
Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis
International audienceA communication link aided by a reconfigurable intelligent surface (RIS) is studied in which the transmitter can control the state of the RIS via a finite-rate control link. Channel state information (CSI) is acquired at the receiver based on pilot-assisted channel estimation, and it may or may not be shared with the transmitter. Considering quasi-static fading channels with imperfect CSI, capacity-achieving signalling is shown to implement joint encoding of the transmitted signal and of the response of the RIS. This demonstrates the information-theoretic optimality of RIS-based modulation, or “single-RF MIMO” systems. In addition, a novel signalling strategy based on separate layered encoding that enables practical successive cancellation-type decoding at the receiver is proposed. Numerical experiments show that the conventional scheme that fixes the reflection pattern of the RIS, irrespective of the transmitted information, as to maximize the achievable rate is strictly suboptimal, and is outperformed by the proposed adaptive coding strategies at all practical signal-to-noise ratio (SNR) levels