Performance analysis and SINR‐based power allocation strategies for downlink NOMA networks
| Autor: | Emad Alsusa, Mohammed W. Baidas, Khairi Ashour Hamdi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Independent and identically distributed random variables
Mathematical optimization Linear programming Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Signal-to-interference-plus-noise ratio 020302 automobile design & engineering 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Computer Science Applications Network simulation 0203 mechanical engineering Convex optimization Telecommunications link Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Computer Science::Information Theory Rayleigh fading Communication channel |
| Zdroj: | IET Communications. 14:723-735 |
| ISSN: | 1751-8636 |
| DOI: | 10.1049/iet-com.2018.6112 |
| Popis: | This study analyses the performance of downlink non-orthogonal multiple-access (NOMA) networks over independent but not necessarily identically distributed Rayleigh fading channels by deriving closed-form expressions for the average signal-to-interference-plus-noise ratio (SINR), average achievable rate, and outage probability of all network users. Moreover, SINR-based power allocation strategies are studied. Specifically, the optimisation problems of max–min SINR, multi-objective SINR, sum-SINR and proportional-fairness-SINR maximisation under minimum SINR constraints are formulated and shown to be non-convex. Additionally, the problems of total power and sum-SINR minimisation are also formulated. Particularly, the formulated problems take the form of linear-fractional programming problems. By applying intelligent reformulation techniques, these problems have been reformulated into convex optimisation problems, and thus efficiently solved. Numerical evaluations are presented to validate the derived closed-form expressions for the different performance metrics, which are found to be in agreement with the network simulation results. More importantly, it has been demonstrated that the user with the best channel conditions achieves full diversity order, whereas all the other users achieve diversity orders equivalent to their ordered channel conditions. Finally, the reformulated power allocation strategies are evaluated, and shown to coincide with the original problem formulations. |
| Databáze: | OpenAIRE |
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