Title :
Policy-based radio resource allocation for wireless mobile networks
Author :
Zhao, Fangming ; Jiang, Lingge ; He, Chen
Author_Institution :
Dept. of E.E., Shanghai Jiao Tong Univ., Shanghai
Abstract :
For a wireless cell, the arrival rate and the proportion of different kind of service are diverse on distinct time in a day. This means that single resource allocation method can not efficiently utilize the radio resource all the time. Taking these matters into account, a policy-based radio resource allocation scheme is presented, in which the characteristic of wireless traffic is analyzed and the corresponding traffic model is described. To improve system performance, different channel allocation algorithms and channel allocation strategies are introduced. Their combinations form a series of policies. These policies are put into a policy list and constitute a policy-based channel allocation scheme. According to defined conditions such as network load, system can dynamically choose appropriate policy from the policy list. Simulation results demonstrate that better system performance can be improved by using policy mechanism, e.g. policy mechanism can lower blocking probability.
Keywords :
channel allocation; mobile radio; radio networks; wireless channels; channel allocation algorithm; channel allocation strategy; network load; policy list; policy mechanism; policy-based channel allocation; policy-based radio resource allocation; traffic model; wireless cell; wireless mobile networks; wireless traffic; Channel allocation; Neural networks; Next generation networking; Performance evaluation; Quality of service; Resource management; Signal processing; System performance; Traffic control; Wireless networks; Blocking Probability; Channel Allocation; Cluster Cell; Policy;
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
DOI :
10.1109/ICNNSP.2008.4590396