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Optimal geographic caching in cellular networks
- B. Błaszczyszyn, A. Giovanidis
- Computer ScienceIEEE International Conference on Communications…
- 26 September 2014
Numerical results regarding three different coverage scenarios, show that the optimal policy significantly increases the chances of hit under high-coverage regime, i.e., when the probabilities of coverage by more than just one station are high enough.
A Stochastic Geometry Framework for Analyzing Pairwise-Cooperative Cellular Networks
Stochastic geometry is used to analyze cooperation models where the positions of base stations follow a Poisson point process distribution and where Voronoi cells define the planar areas associated with them, focused on a case of limited information based on Willems' encoding.
The effects of mobility on the hit performance of cached D2D networks
- Chedia Jarray, A. Giovanidis
- Computer Science14th International Symposium on Modeling and…
- 9 March 2016
In this work a new performance metric is introduced, namely the Service Success Probability, which captures the specificities of D2D networks and the investigation on how different file-size distributions influence the performance.
Spatial multi-LRU: Distributed Caching for Wireless Networks with Coverage Overlaps
A novel family of decen-tralised caching policies, applicable to wireless networks with finite storage at the edge-nodes (stations), that are based on the Least-Recently-Used replacement principle are introduced and show that the performance of multi-LRU increases the more the multi-coverage areas increase, and it is close to theperformance of centralised policies, when multi- coverage is sufficient.
Optimal Cache Leasing from a Mobile Network Operator to a Content Provider
- J. Krolikowski, A. Giovanidis, M. Renzo
- Computer ScienceIEEE INFOCOM - IEEE Conference on Computer…
- 24 January 2018
This work forms an optimization problem from the CP perspective, which aims at maximizing traffic offloading with minimum leasing costs and illustrating the optimal CP leasing/placement strategy and hit probability gains under different association policies.
A distributed interference-aware load balancing algorithm for LTE multi-cell networks
- A. Giovanidis, Qi Liao, S. Stańczak
- Computer ScienceInternational ITG Workshop on Smart Antennas (WSA…
- 7 March 2012
A novel decentralized algorithm for Load Balancing in the downlink that aims at optimally balancing the load, while at the same time guaranteeing low levels of ICI is suggested.
Spatial Multi-LRU Caching for Wireless Networks with Coverage Overlaps
A novel family of decentralised caching policies for wireless networks, referred to as spatial multi-LRU, is introduced, which provides content diversity to users that are covered by, and thus have access to, more than one station.
A Decomposition Framework for Optimal Edge-Cache Leasing
- J. Krolikowski, A. Giovanidis, M. Di Renzo
- Computer ScienceIEEE Journal on Selected Areas in Communications
- 1 June 2018
This paper studies the following arrangement: a mobile network operator pre-installs memory on its wireless equipment, sets a price, and invites a unique content provider (CP) to invest, which forms an optimization problem, which maximizes offloading with minimum leasing costs for the CP.
Measurement Based Self-Optimization in Random Access Communications
The current work considers random access communications within a single cell and provides an algorithmic suggestion for the almost optimal coordination of user actions, and shows how the wireless cell can achieve self-optimization, without outside coordination, by relying on such intelligent information exchange and parameter estimation.
Optimal control of a single queue with retransmissions: delay-dropping tradeoffs
- A. Giovanidis, G. Wunder, Jörg Bühler
- Computer ScienceIEEE Transactions on Wireless Communications
- 23 February 2009
It is almost optimal to use a K-truncated ARQ protocol as long as the queue length is lower than L, else send all packets in one shot, suggesting a comparison between the optimal and suboptimal policies.