White Papers

Self Learning Call Admission Control for Multimedia Wireless DS-CDMA Systems

• Tags:
• constraints,
• algorithms,
• admission,
• probabilities

Overview The call admission problem for wireless CDMA systems is formulated as a semi-Markov decision process with constraints on the blocking probabilities and SIR (signal to interference ratio). This paper shows that the optimal call admission policy can be computed via a stochastic gradient algorithm. Similar to neuro-dynamic programming algorithms the algorithms proposed in this paper are simulation based and do not require explicit knowledge of the underlying parameters such as transition probabilities (or equivalently invariant distributions). However, unlike Q-learning or Temporal Difference methods, the algorithms proposed here straightforwardly can handle constraints.

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