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Abstract
Mobile communication has grown tremendously over the last two decades. The percentage of calls from mobile to mobile calls has exceeded all the expectations by all Mobile operators. Modern mobile communication systems will provide enhanced high-speed data, multimedia, and voice services to mobile users. In this work we propose a resource allocation and management scheme tailored for a networks supporting heterogeneous user mix. In a system with data and multimedia users, Users are elastic in their demands for bandwidth. In this work, we propose a resource allocation and management scheme tailored for systems having heterogeneous users. The algorithm works by checking the SINR in the cell where a minimum Eb/Io has to be exceeded for all users in the system before taking the decision of accepting or rejecting
a new user in the system. In this thesis, elasticity of user requiring data services is exploited. Users don’t necessarily have their maximum
Mobile communication has grown tremendously over the last two decades. The percentage of calls from mobile to mobile calls has exceeded all the expectations by all Mobile operators. Modern mobile communication systems will provide enhanced high-speed data, multimedia, and voice services to mobile users. In this work we propose a resource allocation and management scheme tailored for a networks supporting heterogeneous user mix. In a system with data and multimedia users, Users are elastic in their demands for bandwidth. In this work, we propose a resource allocation and management scheme tailored for systems having heterogeneous users. The algorithm works by checking the SINR in the cell where a minimum Eb/Io has to be exceeded for all users in the system before taking the decision of accepting or rejecting
a new user in the system. In this thesis, elasticity of user requiring data services is exploited. Users don’t necessarily have their maximum