Conference Paper

Joint admission control & interference avoidance in self-organized femtocells

Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
DOI: 10.1109/ACSSC.2010.5757566 Conference: Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Source: IEEE Xplore

ABSTRACT In this paper, we consider a femtocell deployment scenario in which radio resources are shared among self-organized femtocells. We propose a distributed Admission Control Mechanism (ACM) for traffic load balancing among sub-carriers when there are multiple Quality of Service (QoS) classes. Furthermore, we propose a mechanism based on Reinforcement Learning (RL) for slot allocation to the traffic streams on different sub-carriers, which is employed by each Femto Access Point (FAP) to mitigate interference among femtocells and the underlaid macrocell. Through simulations, the performance of the proposed scheme is evaluated where it is shown that femtocells are able to coexist with the overlay macrocell network with no information exchange and by relying only on local information.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Femtocells are commissioned in wide range of commercial systems, such as CDMA, GSM, LTE, Wi-Fi, and WiMAX, and offer economically viable solutions to improve network scalability and indoor coverage. The ability to offer multitude of context-aware and value added services, and per-user customization have caught world-wide research interest on femtocells. In this article, we have investigated the feasibility to use femtocells as short-range mobile base stations, and discussed the demanding architectural requirements and challenges. The protocol stack on legacy femtocells must be modified to realize mobility. Mobility introduces new challenges in security and user privacy. Firstly, we analyze several candidate mobility protocols that are deployable on Mobile Femtocells (MFs). Among them, Host Identity Protocol (HIP) was chosen due to enhanced support in flexible mobility, security and end-user privacy. Secondly, we propose the indispensable modifications that enable device mobility, and the suitable transport architecture options based on direct IP links and relay chains. Finally, with the simulation results, the proposal is verified, and the architectural options are evaluated. That, in turn, proves the proposed mobility protocol has low latency in location locking with respect to another competing protocol and low resource utilization as it is depicted from mean round trip time.
    Wireless Personal Communications 01/2013; · 0.43 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The efficient management of networks and the provisioning of services with desired QoS guarantees is a challenge which needs to be addressed through autonomous mechanisms which are intelligent, lightweight and scalable. Recent focus on applying Machine Learning approaches to model the network and service behavioural patterns have proved to be quite effective in fulfilling the objectives of autonomous management. To this end, this paper advances on the idea of implementing a distributed management solution which harnesses the predictive capability of Bayesian Networks (BN). A multi-node distributed Call Admission Control solution (termed as BNDAC) is proposed and implemented to demonstrate the modelling and prediction power of BN. A thorough evaluation of BNDAC is presented in terms of its prediction accuracy, algorithmic complexity and decision-making speed. In an online setup, performance of BNDAC is evaluated and compared with a centralised scenario, to demonstrate its superior performance for Call Blocking Probability and QoS provisioning. Simulation results based on Opnet Modeler and Hugin Researcher show the feasibility and applicability of BNDAC solution for real-time operation and management of real world networks such as the NGN.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we consider cooperative multi-hop wireless Body Area Networks (BANs), connecting sensor nodes to multiple data sinks, referred to as hubs. Each network comprises a set of sensory devices, as well as a data sink, and the coexisting BANs cooperate in order to enable the sensor nodes to have their data traffic delivered to one of the data sinks. To reach a hub, either located in the local- or a nearby network, each sensor should choose a route and communicate with the relay at the tail of the chosen route. We propose a stochastic route selection mechanism, which takes into account the maximum perceived outage probability, maximum queue utilization factor, and the minimum remaining battery power of the relays of each route to determine how probable the route is to be selected to deliver a requesting sensor node's traffic to a particular hub. The performance of the proposed scheme is assessed through system-level simulations, revealing that the introduced mechanism scales well with the increase of the number of sensor nodes.
    IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2011, Toronto, ON, Canada, September 11-14, 2011; 01/2011

Full-text (2 Sources)

Available from
May 17, 2014