Smart IP Flow and Mobility Management Techniques
QoE-based IP flow management in wireless heterogeneous networks
Nowadays, a significant fraction of mobile devices in the market is equipped with multiple wireless interfaces. These technologies have been developed separately and therefore offer different coverage, data rate and services. Let us report two classic examples. Cellular networks have been designed to have high coverage area, low/medium data rates and mainly to provide speech services. On the contrary, IEEE 802.11 WLANs have been designed for local and small areas, medium/high data rates and mainly for data services. Such technologies can coexist in the same environment and also interwork so as to create a heterogeneous platform able to offer more services, higher coverage and higher data rates to mobile end-users.
We study two main topics in this framework:
Vertical Mobility Management
We study the three aspects of the mobility management: user/node reachability, handover decision and handover execution. Currently, our research is mainly focused on group mobility management for vehicular environment and in particular on:
- how to identify a group of users as a single entity,
- SIP assisted group mobility.
The main issues we investigate are:
- packet allocation policy through multiple communication paths at the source node;
- inter-packet coding techniques (e.g., digital fountain codes).
Offloading Strategies for Advances Mobile Networks
Analytical framework for modeling traffic offloading
- impact that offloading techniques might have on the networks of MNOs
- performance limits of network resource needs when deploying offloading (network dimensioning issues).
- benefits of offloading (if any) by comparing the required network resources before and after offloading.
- benefits of the energy consumption of a cellular system after offloading to small cells of a HetNet
New architectural approach to support advanced mobility features
- Towards a more flexible Evolved Packet System
- to fulfill current and future requirements
- e.g., multihoming, offloading, route optimization
- the key design principles are:
- a generalized use of traffic flow templates (TFTs) for a more flexible IP flow handling,
- a full decoupling of control and user plane for flexibility,
- an on-demand (or pull-based) state set up in network nodes for scalability.
- to fulfill current and future requirements
CTTC external report “Fundamental analysis of the EPS architecture facing future data networking needs“, November, 2012
Algorithms for smart IP Flow and Mobility Management
- algorithms for smartphones to control offloading periods
- based on relation between traffic patterns, mobility patterns, and distribution of offloading points
- algorithms to offer a richer mobility experience
- based on monitoring of individual IP flow routing between different access networks
Distributed location management in cellular networks
Location Management (LM) comprises the set of procedures and algorithms aimed at tracking the location of a UE in a cellular network. In the context of Networks of Femtocells (NoFs), UEs may experience a substantial number of cell reselections and handovers in relatively short periods of time. Consequently, LM must solve the scalability problem in terms of location signalling traffic towards the Mobility Management Entity (MME) at the EPC. Another scalability problem is caused by the large-scale, all-wireless backbone, in case all-wireless NoFs are considered. In this scenario, the goal is to minimize over-the-air signalling traffic.
In order to address these challenges, we have focused our efforts on two areas:
1) Minimize the volume of location signalling traffic generated from the UE to the MME during Tracking Area Update procedures. In order to do so, we have designed a Self-Organized Tracking Area List Mechanism that dynamically adapts the size of individual TALs to the mobility state of each UE.
|Standard Tracking Area Update Mechanism||Self-Organized Tracking Area List Mechanism|
2) Minimize the volume of location signalling traffic generated from the MME to the UE during Paging procedures. In order to do so, we have designed a Distributed Paging Mechanism over the X2 interface that combines unicast and multicast forwarding schemes to page UEs more efficiently.
In the past, we also carried out some work on distributed location management for wireless mesh networks by means of geographic hash tables. We designed and implemented in Click a scheme called VIrtual home-region Multi-hash LOCation service (VIMLOC). See also this page on distributed location management in Wireless Mesh Networks.
You may also be interested in the talks we gave during the Femtocells Winter School 2012:
QoE-based IP flow management
- P. Dini, N. Baldo, J. Nin Guerrero, S. Addepalli, Inter-Packet Encoding to Minimize Data Block Transfer Delay in Multipath Communications, in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) 2013, 7-10 April 2013, Shanghai, China.
- P. Dini, J. Nin Guerrero, J. Mangues, L. L. Dai, S. Addepalli, Interworking Scheme Using Optimized SIP Mobility for MultiHomed Mobile Nodes in Wireless Heterogeneous Networks, in Proceedings of IEEE 71st Vehicular Technology Conference: VTC2010-Spring 16–19 May 2010, Taipei, Taiwan
- P. Dini, N. Baldo, J. Nin Guerrero, J. Mangues, S. Addepalli, L. L. Dai, Distributed Call Admission Control for VoIP over 802.11 WLANs based on Channel Load Estimation, in Proceedings of the IEEE International Conference on Communications (ICC-2010), 23-27 May 2010, Cape Town (South Africa)
- P. Dini, M. Portolés, J. Nin Guerrero, J. Mangues, L. L. Dai, S. Addepalli, A reconfigurable test platform to experiment with wireless heterogeneous networks in a laboratory, in Inderscience International Journal of Communication Networks and Distributed Systems (IJCNDS), Special Issue: Recent Advances in Test-bed Driven Networking Research, Vol. 5, No. 1/2, pp. 1-4, June 2010
Offloading strategies and architectural approach to support advanced mobility features
- A. Krendzel, M. Portoles-Comeras, J. Mangues, Modeling Network Traffic in Mobile Networks Implementing Offloadingin proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM-2011), October 31-November 4, 2011, Miami Beach, FL (USA).
- A. Rodríguez Natal, L. Jakab, M. Portoles-Comeras, V. Ermagan, P. Natarajan, F. Maino, D. Meyer, A. Cabellos-Aparicio, LISP-MN: Mobile Networking through LISP, Springer Wireless Personal Communications Journal, Vol. 65, June 2012.
- A. Krendzel “LTE-A Mobile Relay Handling: Architecture Aspects”, accepted for the 19th European Wireless Conference (EW-2013), 16-18 April, Guildford, United Kingdom, 2013
Distributed location management
- J. Ferragut, J. Mangues, J. Núñez, F. Zdarsky. Traffic and Mobility Management in Networks of Femtocells, in ACM/Springer Mobile Networks and Applications Journal, Special Issue on Cooperative and Networked Femtocells. DOI: 10.1007/s11036-012-0396-9, Copyright ACM/Springer 2012.
- J. Ferragut, J. Mangues-Bafalluy. A Self-Organized Tracking Area List Mechanism for Large-Scale Networks of Femtocells, in Proceedings of IEEE International Conference on Communications (ICC 2012), 10-15 June, 2012, Ottawa (Canada).