Abstract
Spectrum sharing with quality of service (QoS) requirement and power constraint on cognitive users is studied. The objective is to maximize the system throughput. This problem is modeled as a mixed integer nonlinear programming problem and then transformed to a continuous nonlinear programming problem through eliminating integer variables. We propose the joint power control and spectrum allocation algorithm based on particle swarm optimization to obtain the global optimal solution. Simulation results show that the proposed method can achieve higher system throughput and spectrum utilization under the constraints of transmit power and QoS requirement.
Highlights
The spectrum of the wireless networks is generally regulated by governments via a fixed spectrum assignment policy
Spectrum sharing with quality of service (QoS) requirement and power constraint on cognitive users is studied
The objective is to maximize the system throughput. This problem is modeled as a mixed integer nonlinear programming problem and transformed to a continuous nonlinear programming problem through eliminating integer variables
Summary
The spectrum of the wireless networks is generally regulated by governments via a fixed spectrum assignment policy. The cognitive (unlicensed) user needs to detect the presence of the primary (licensed) users as quickly as possible and dynamically changes the system parameters, such as transmit power level, so as to best utilize the valuable spectrum [3]. The researches of underlay spectrum limit the transmit power of the cognitive users and make sure that the interference temperature does not exceed certain threshold [4]. [5] regards the capacity of one cognitive link as an optimization problem with constraints in interference temperature and studies the optimal power allocation strategies. The flexibility offered by NC-OFDM based CR can be employed to devise spectrum sharing schemes and provides QoS requirements by jointly considering variations in spectrum availability. To balance the power and QoS constraints, and further to efficiently and fairly utilize spectrum, transmit power and spectrum allocation must be determined by coordination among cognitive users.
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