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Generally, instead of searching an optimal solution with an unacceptable computational complexity, the combinatorial suboptimal method of subcarrier assignment and power allocation is proposed: firstly the subcarriers are assigned to the SUs and then the power is allocated to these subcarriers.
Knowledge of the Wi-Fi topology is particularly important for reconfiguration mechanisms, such as channel assignment and power control schemes, which depend on it to operate.
In this paper, we address the issue by first formulating it as a joint optimization problem of relay-user pair selection, subcarrier-pair assignment and power allocation and then solving it through dual decomposition and subgradient methods.
In order to improve the throughput of high-density and large-scale wireless local area networks (WLANs), a novel heuristic algorithm Two-Dimensional Optimization Integrating Channel Assignment and Power Control (TDOCP) is proposed.
A progressive channel assignment and power level adjustment heuristic is introduced in the MAC/PHY layer, together with a smart link capacity allocation for cooperative gateways in the network layer.
We jointly study the routing, scheduling, channel assignment and power control problem in Multi-Power-level Multi-Radio (MPMR) Wireless Sensor Networks (WSNs), which is proven to be NP-Hard.
Similar(19)
For the online algorithm, since we iteratively find the best values of λ and (P ρ), the sub-carrier assignment ρ and power allocation P are determined by random sub-carrier assignment and equal power allocation.
Both channel assignment (CA) and power control (PC) are performed in each iteration.
An iterative RA algorithm is proposed to optimize mode selection (decision whether the relay should help or not), subcarrier assignment (MSSA) and power allocation (PA) alternatively.
An iterative semi-distributed resource allocation (RA) algorithm is first proposed to optimize mode selection (decision whether relaying should be used or not and which relay), subcarrier assignment (MSSA), and power allocation (PA), alternatively.
The primary goal of our design is to maximize the number of feasible concurrent CR transmissions, and conserve energy as a secondary objective, with respect to both spectrum assignment and transmission power subject to interference constraint and user rate demands.
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