2016
DOI: 10.1049/iet-com.2015.0549
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Weighted sum throughput maximisation for cooperative relay‐aided multi‐cell orthogonal frequency division multiple access cellular networks considering partial fairness

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Cited by 4 publications
(2 citation statements)
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“…where (𝓍) + = 𝑚𝑎𝑥 (𝓍, 0). To obtain the dual variables optimum value in (18), we employ an algorithm-based bisection scheme as in [17]. Therefore, the optimization problem in (6) reduces to;…”
Section: B Phase 2: Power Optimizationmentioning
confidence: 99%
“…where (𝓍) + = 𝑚𝑎𝑥 (𝓍, 0). To obtain the dual variables optimum value in (18), we employ an algorithm-based bisection scheme as in [17]. Therefore, the optimization problem in (6) reduces to;…”
Section: B Phase 2: Power Optimizationmentioning
confidence: 99%
“…In [13], the problem of joint utility-based customized price and power control in multi-service wireless networks was investigated using S-modular theory. The authors of [14] made suboptimal solutions according to iterative methods for a resource allocation problem with partial fairness considering weighted sum throughput maximization in an orthogonal frequency-division multiple access system. For joint users' uplink transmission power and data rate allocation in multi-service two-tier femtocell networks, a distributed and iterative algorithm for computing the desired Nash Equilibrium was introduced [15].…”
Section: Introductionmentioning
confidence: 99%