Abstract
In this paper, a novel approach towards optimizing users’ rate allocation and price customization in a non-orthogonal multiple access (NOMA) wireless network under quality of service (QoS)-differentiated requested services is proposed and studied. A multi-service wireless system is considered, where each user’s QoS requirements are reflected through a utility function, alongside his willingness to pay for the corresponding service. Within this setting, in order to jointly allocate the customized price and rate, a two-variable optimization problem arises. Based on the principles of S-modular theory, the above two-variable (rate and price) optimization problem is modeled and solved as a distributed non-cooperative game. The existence and convergence to the Nash equilibrium point with reference to both user’s uplink transmission rate and price is proven. The proposed approach, allowing for decision-making at the user side, is well aligned with the self-optimization and self-adaptation objectives of future emerging 5G wireless networks. The performance evaluation of the devised framework is conducted via modeling and simulation under various scenarios, and the numerical results clearly demonstrate its superiority against other existing approaches.
Highlights
Next-generation communication technologies, the diversification of mobile services, and the users’ demand for higher quality of service (QoS) performance have posed quite stringent and demanding challenges to wireless Internet service providers (WISPs). 5G wireless networks require highly spectral-efficient multiple access techniques that play a significant role in optimizing the resource allocation process and improving the performance of the mobile communication system
7 Conclusions In this article, we tackled the problem of joint rate allocation and customized price setting in nonorthogonal multiple access (NOMA) wireless networks supporting users with heterogeneous QoS requirements, following a user-centric paradigm
Through the use of a net utility function with two variables, the satisfaction of each user is highlighted as the trade-off between his desired data rates and the price he is charged in order to receive the respective service
Summary
Next-generation communication technologies, the diversification of mobile services, and the users’ demand for higher quality of service (QoS) performance have posed quite stringent and demanding challenges to wireless Internet service providers (WISPs). 5G wireless networks require highly spectral-efficient multiple access techniques that play a significant role in optimizing the resource allocation process and improving the performance of the mobile communication system. In this paper, a different philosophy is followed where the users, depending on prespecified/targeted signal-to-interference-plus-noise ratio (SINR) values, as they are indicated by their requested service, prioritize the allocation of the available bandwidth among them in a real-time dynamic manner by disclosing to the WISP how much price they would accept to be charged in order to fulfill their QoS prerequisites Both variables (i.e., rate and price) are jointly determined in an optimal and real-time manner and in a distributed and user-centric attitude aiming at the maximization of the users’ net utilities, reflecting the overall improvement of the users’ satisfaction regarding their service experience. It is noted that in such an environment a centrally determined pricing solution would disregard user segmentation and could damage fairness and proper resource usage instead of improving it Following this consideration and motivation, and in order to jointly allocate the customized price and rate, an optimization problem of two variables arises, which is modeled and solved as a distributed non-cooperative game.
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