152,244 research outputs found
Genetic Algorithm-based Mapper to Support Multiple Concurrent Users on Wireless Testbeds
Communication and networking research introduces new protocols and standards
with an increasing number of researchers relying on real experiments rather
than simulations to evaluate the performance of their new protocols. A number
of testbeds are currently available for this purpose and a growing number of
users are requesting access to those testbeds. This motivates the need for
better utilization of the testbeds by allowing concurrent experimentations. In
this work, we introduce a novel mapping algorithm that aims to maximize
wireless testbed utilization using frequency slicing of the spectrum resources.
The mapper employs genetic algorithm to find the best combination of requests
that can be served concurrently, after getting all possible mappings of each
request via an induced sub-graph isomorphism stage. The proposed mapper is
tested on grid testbeds and randomly generated topologies. The solution of our
mapper is compared to the optimal one, obtained through a brute-force search,
and was able to serve the same number of requests in 82.96% of testing
scenarios. Furthermore, we show the effect of the careful design of testbed
topology on enhancing the testbed utilization by applying our mapper on a
carefully positioned 8-nodes testbed. In addition, our proposed approach for
testbed slicing and requests mapping has shown an improved performance in terms
of total served requests, about five folds, compared to the simple allocation
policy with no slicing.Comment: IEEE Wireless Communications and Networking Conference (WCNC) 201
Distributed MIMO for 6G sub-Networks in the Unlicensed Spectrum
In this paper, we consider the sixth generation (6G) sub-networks, where
hyper reliable low latency communications (HRLLC) requirements are expected to
be met. We focus on a scenario where multiple sub-networks are active in the
service area and assess the feasibility of using the 6 GHz unlicensed spectrum
to operate such deployment, evaluating the impact of listen before talk (LBT).
Then, we explore the benefits of using distributed multiple input multiple
output (MIMO), where the available antennas in every sub-network are
distributed over a number of access points (APs). Specifically, we compare
different configurations of distributed MIMO with respect to centralized MIMO,
where a single AP with all antennas is located at the center of every
sub-network.Comment: This paper is accepted for publication in 2023 IEEE Conference on
Standards for Communications and Networking (CSCN
A Cross-Layer Descent Approach for Resilient Network Operations of Proliferated LEO Satellites
With the proliferated low-Earth-orbit (LEO) satellites in
mega-constellations, the future Internet will be able to reach any place on
Earth, providing high-quality services to everyone. However, high-quality
operations in terms of timeliness and resilience are lacking in the current
solutions. This paper proposes a multi-layer networking approach called
"Cross-Layer Descent (CLD)". Based on the proposed system model, principles,
and measures, CLD can support foundational services such as telecommand (TC)
transmissions for various network operation missions for LEO satellites
compliant with the Consultative Committee for Space Data Systems (CCSDS)
standards. The CLD approach enhances timing and resilience requirements using
advanced communication payloads. From the simulation-based analysis, the
proposed scheme outperforms other classical ones in resilience and latency for
typical TC missions. The future work and conclusive remarks are discussed at
the end.Comment: 2023 IEEE Wireless Communications and Networking Conference (WCNC),
26--29 March 2023, Glasgow, U
Identifying 5G system enhancements: enabling technologies for multi-service networks
Proceeding of: 2018 IEEE Conference on Standards for Communications and Networking (CSCN)The fifth generation (5G) of mobile and wireless communications networks aims at addressing a diverse set of use cases, services, and applications with a particular focus on enabling new business cases via network slicing. The development of 5G has thus advanced quickly with research projects and standardization efforts resulting in the 5G baseline architecture. Nevertheless, for the realization of native end-to-end (E2E) network slicing, further features and optimizations shall still be introduced. In this paper, we provide a gap analysis of current 5G system (5GS) with respect to some specific enhancements and detail our insights on the enabling innovations that can fill the identified gaps. We will then discuss the essential building blocks and design principles of an evolved 5G baseline architecture capitalizing on the innovations that are being developed.This work has been performed in the framework of the H2020 project 5G-MoNArch co-funded by the EU
Video on Demand Streaming Using RL-based Edge Caching in 5G Networks
Edge caching can significantly improve the 5G networks' performance both in
terms of delay and backhaul traffic. We use a reinforcement learning-based
(RL-based) caching technique that can adapt to time-location-dependent
popularity patterns for on-demand video contents. In a private 5G, we implement
the proposed caching scheme as two virtual network functions (VNFs), edge and
remote servers, and measure the cache hit ratio as a KPI. Combined with the HLS
protocol, the proposed video-on-demand (VoD) streaming is a reliable and
scalable service that can adapt to content popularity.Comment: 3 pages, 1 figure One page version of this paper has been accepted to
2022 IEEE Conference on Standards for Communications and Networking (CSCN) -
Demo submission
Joint Access-Backhaul Perspective on Mobility Management in 5G Networks
The ongoing efforts in the research development and standardization of 5G, by
both industry and academia, have resulted in the identification of enablers
(Software Defined Networks, Network Function Virtualization, Distributed
Mobility Management, etc.) and critical areas (Mobility management,
Interference management, Joint access-backhaul mechanisms, etc.) that will help
achieve the 5G objectives. During these efforts, it has also been identified
that the 5G networks due to their high degree of heterogeneity, high QoS demand
and the inevitable density (both in terms of access points and users), will
need to have efficient joint backhaul and access mechanisms as well as enhanced
mobility management mechanisms in order to be effective, efficient and
ubiquitous. Therefore, in this paper we first provide a discussion on the
evolution of the backhaul scenario, and the necessity for joint access and
backhaul optimization. Subsequently, and since mobility management mechanisms
can entail the availability, reliability and heterogeneity of the future
backhaul/fronthaul networks as parameters in determining the most optimal
solution for a given context, a study with regards to the effect of future
backhaul/fronthaul scenarios on the design and implementation of mobility
management solutions in 5G networks has been performed.Comment: IEEE Conference on Standards for Communications & Networking,
September 2017, Helsinki, Finlan
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