An outer-approximation algorithm for a class of mixed-integer nonlinear programs
Mathematical Programming: Series A and B
Operations research: an introduction, 4th ed.
Operations research: an introduction, 4th ed.
Optimal scheduling of handoffs in cellular networks
IEEE/ACM Transactions on Networking (TON)
Joint optimal channel base station and power assignment for wireless access
IEEE/ACM Transactions on Networking (TON)
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
Mobile Communications Engineering
Mobile Communications Engineering
Modeling and resource management in wireless multimedia wcdma systems
Modeling and resource management in wireless multimedia wcdma systems
Soft handoff in a CDMA wireless ATM environment
Computer Communications
Guest editorial mobility and resource management in next generation wireless systems
IEEE Journal on Selected Areas in Communications
Joint power control and intracell scheduling of DS-CDMA nonreal time data
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Stochastic control of handoffs in cellular networks
IEEE Journal on Selected Areas in Communications
On uplink call level QoS in DS-CDMA networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Transactions on Mobile Computing
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This paper proposes a scheme of optimal resource management for reverse-link transmissions in multimedia wideband code-division multiple-access (WCDMA) communications. It is to guarantee quality-of-service (QoS) by resource (transmit power and rate) allocation and to achieve high spectral efficiency by base-station assignment. This approach takes the form of a nonlinear-programming large-scale optimization problem: maximizing an abstraction for the profit of a service provider subject to QoS satisfaction. Solutions for both single-cell and multicell systems are investigated. The single-cell solution has the advantage of low complexity and global convergence in comparison with the previous work. Maximum achievable throughput (capacity) of a single cell is mathematically evaluated and used as the benchmark for performance measure of multicell systems. For multicell systems, due to its max-max structure, solving the optimization problem directly entails a high-computational complexity. Instead, the problem is reformulated to a mixed integer nonlinear-programming (MINLP) problem. Then, binary variables indicating base-station assignments are relaxed to their continuous analogs to make a computer solution feasible. Furthermore, approximations can be made to make the resource-management scheme less computationally complex and allow its partial decentralization. The sensitivity of the proposed scheme to path-gain estimation error is studied. Simulation results are presented to demonstrate the performance of the proposed scheme and the throughput improvement achieved by combining resource allocation with base station assignment.