Convex Optimization
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
SCALE: a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks
IEEE Transactions on Information Theory
Resource allocation for downlink cellular OFDMA systems: part I: optimal allocation
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems
IEEE Communications Surveys & Tutorials
Optimal and Distributed Scheduling for Multicell Capacity Maximization
IEEE Transactions on Wireless Communications
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
Non-Cooperative Resource Competition Game by Virtual Referee in Multi-Cell OFDMA Networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Weighted Sum-Rate Maximization for a Set of Interfering Links via Branch and Bound
IEEE Transactions on Signal Processing
On the Rate Gap Between Multi- and Single-Cell Processing Under Opportunistic Scheduling
IEEE Transactions on Signal Processing
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Inter-cell interference mitigation is a key challenge in the heterogeneous wireless networks which are expected to use an aggressive frequency reuse factor and a high-density access point deployment to improve coverage and spectral efficiency. In this paper, the problem of resources allocation in multicell Orthogonal Frequency Division Multiple Access wireless system is considered with universal frequency reuse and target of Weighted Sum-Rate Maximization. We address multi cell modified iterative water filling as an iterative power allocation algorithm. Also, a new extension of fixed point implementation of Successive Convex Approximation for Low complExity (SCALE) algorithm to multicellular system [referred to as Multi Cell Fixed point SCALE (MCF-SCALE)] is presented and it has been shown both of them resulted to the same convergence point. It is also demonstrated that using Lagrangian multiplier instead of noise variance in Standard Yates framework (as has been used in some previous papers) is not a suitable method for proving convergence and all the previous results based on this pattern need to be revised. Finally, a new framework is presented for proving the convergence of MCF-SCALE algorithm based on Jacobi iterative algorithm. Moreover, some previous convergence criteria are shown to be interpreted as a special case of this condition.