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Content Provider | IET Digital Library |
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Author | Fathi, Mohammad Karipidis, Eleftherios |
Abstract | The downlink of multicell orthogonal frequency-division multiple-access (OFDMA) networks is studied, and the adaptive allocation of spectrum, power and rate is addressed. The authors consider networks with adaptive frequency reuse and discrete-level rates. Initially, the joint allocation problem is formulated as a centralised non-linear mixed-integer program (MIP), which is computationally intractable to solve optimally for practical problem sizes. Then, the capability of the receivers is exploited to estimate the subcarrier channel gains and the joint allocation problem is accordingly decomposed into subproblems, each of which is solved by a different base station with linear complexity. In the proposed iterative algorithm, the base stations perform rate and receiver allocation per subcarrier, with concurrent iterations. A filtering method is introduced to further decrease the algorithm complexity. Furthermore, for benchmarking purposes, the authors transform the original non-linear MIP to a linear MIP and find the optimal solution by means of standard branch-and-cut solvers. The merit of the proposed algorithm is demonstrated with numerical comparisons of its performance against the solutions of the linear MIP and the iterative waterfilling algorithm. |
Starting Page | 781 |
Ending Page | 788 |
Page Count | 8 |
ISSN | 17518628 |
Volume Number | 8 |
e-ISSN | 17518636 |
Issue Number | Issue 6, Apr (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/8/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0463 |
Journal | IET Communications |
Publisher Date | 2014-02-12 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Filter Adaptive Frequency Reuse Adaptive Spectrum Allocation Base Station Perform Rate Bit Level Allocation Branch-and-cut Solvers Centralised Nonlinear Mixed Integer Program Channel Allocation Channel Estimation Communication Channel Equalisation And Identification Communication Complexity Concurrent Iteration Discrete Level Rate Allocation Distributed Subcarrier Allocation Filtering Method Filtering Method in Signal Processing Frequency Allocation Frequency Division Multiple Access Integer Programming Interpolation And Function Approximation Iterative Method Iterative Waterfilling Algorithm Joint Allocation Problem Legislation, Frequency Allocation And Spectrum Pollution Linear Complexity Linear MIP Linear Programming Modulation And Coding Method Multiple Access Communication Nonlinear Programming Numerical Analysis OFDM Modulation Optimisation Technique Orthogonal Frequency Division Multiple Access Power Allocation Radio Link And Equipment Radio Receiver Receiver Allocation Per Subcarrier Subcarrier Channel Gain Estimation |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Computer Science Applications |
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