Performance management issues in ATM networks: traffic and congestion control
IEEE/ACM Transactions on Networking (TON)
Overview of wireless personal communications
IEEE Communications Magazine
Emerging mobile and personal communication systems
IEEE Communications Magazine
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In a cellular multimedia network like wireless ATM (WATM), self control seems primordial. Our new approach is based on the application of DAI (distributed artificial intelligence) techniques in order to build a self-adaptive network within random non-uniform traffic conditions. Attempting to achieve a high network capacity in terms of resource allocation and air interface BER (bit error rate), we propose to apply intelligent agent features to enhance the architecture of WATM systems. In fact, the intelligent platform MA-WATM (multi-agent wireless ATM) is used to provide a flexible integration of the multi-agent technique in wireless entities, BSs (base stations), MSs (mobile stations) and MSCs (mobile switching centers). Two applications are investigated and explored by simulations in order to bear out the feasibility of the multi-agent approach.