Joint Transmission in QoE-Driven Backhaul-Aware MC-NOMA Cognitive Radio Network (original) (raw)
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Resource Allocation for Throughput Maximization in Cognitive Radio Network with NOMA
Computers, Materials & Continua, 2022
Spectrum resources are the precious and limited natural resources. In order to improve the utilization of spectrum resources and maximize the network throughput, this paper studies the resource allocation of the downlink cognitive radio network with non-orthogonal multiple access (CRN-NOMA). NOMA, as the key technology of the fifth-generation communication (5G), can effectively increase the capacity of 5G networks. The optimization problem proposed in this paper aims to maximize the number of secondary users (SUs) accessing the system and the total throughput in the CRN-NOMA. Under the constraints of total power, minimum rate, interference and SINR, CRN-NOMA throughput is maximized by allocating optimal transmission power. First, for the situation of multiple sub-users, an adaptive optimization method is proposed to reduce the complexity of the optimization solution. Secondly, for the optimization problem of nonlinear programming, a maximization throughput optimization algorithm based on Chebyshev and convex (MTCC) for CRN-NOMA is proposed, which converts multi-objective optimization problem into single-objective optimization problem to solve. At the same time, the convergence and time complexity of the algorithm are verified. Theoretical analysis and simulation results show that the algorithm can effectively improve the system throughput. In terms of interference and throughput, the performance of the sub-optimal solution is better than that of orthogonal-frequency-division-multiple-access (OFDMA). This paper provides important insights for the research and application of NOMA in future communications.
An optimized power allocation algorithm for cognitive radio NOMA communication
TELKOMNIKA, 2021
The primary objective of cognitive radio network is to effectively utilize the unused spectrum bands. In cognitive radio networks, spectrum sharing between primary and secondary users is accomplished using either underlay or interweave cognitive radio approach. Non orthogonal multiple access (NOMA) is the proven technology in the present wireless developments, which allows the coexistence of multiple users in the same orthogonal block. The new paradigm cognitive radio NOMA (CR-NOMA) is one of the potential solutions to fulfill the demands of future wireless communication. This paper emphasizes on practical implementation of NOMA in cognitive radio networks to enhance the spectral efficiency. The goal is to increase the throughput of the secondary users satisfying the quality of service (QOS) requirements of primary users. To achieve this, we have presented the optimized power allocation strategy for underlay downlink scenario to support the simultaneous transmission of primary and secondary users. Furthermore, we have proposed QOS based power allocation scheme for CR-NOMA interweave model to support the coexistence of multiple secondary networks. Also, the changes adopted in implementing superposition coding (SC) and successive interference cancellation (SIC) for CR-NOMA are highlighted. Finally, simulation results validate the mathematical expressions that are derived for power allocation coefficient and outage probability.
Energy-Efficient Resource Allocation for 5G Cognitive Radio NOMA Using Game Theory
2021 IEEE Wireless Communications and Networking Conference (WCNC), 2021
Cognitive radio non-orthogonal multiple access (CR-NOMA) networks promise improved spectrum utilization and capacity in 5G networks. In this work, we aim to investigate efficient power allocation for the secondary users (SUs) in underlay CR-NOMA networks using a game-theoretic approach. We present a novel power allocation to CR-NOMA network from a game-theoretic perspective. First, we specify the utility function of the primary users (PUs) and SUs, and formulate the game as a non-cooperative game. Then, the existence and uniqueness of the Nash equilibrium (NE) are investigated. Finally, the sum utilities of SUs is maximized by optimal power allocation at the NE point. Simulation results provided that the proposed scheme outperforms the conventional method, providing up to 37.5% increase in sum utilities of the SUs.
Joint QoS Aware Admission Control and Power Allocation in NOMA Downlink Networks
IEEE Access
In this work, we talk about the problem of joint power allocation and user association based on quality-of-service for non-orthogonal multiple access (NOMA) to downlink networks. The problem is especially difficult due to its non-convex form and the large number of optimization variables, which are solved using two different nature-inspired algorithms with low complexity. We investigate the effect of different network parameters on increasing users. Numerical results show that, for a growing number of users, the problem is becoming increasingly difficult, which indicates the increasing network resources required to solve it. The results of the simulations show that using evolutionary algorithms is a fast and effective way to solve this kind of problem. Moreover, the NOMA advantage over OMA becomes clear as the number of users increases. Evolutionary techniques outperform randomly generated solutions, as expected. INDEX TERMS 5G, 6G, NGIoT, cellular network, NOMA, QoS, optimization techniques. I. INTRODUCTION The introduction of NGIoT next-generation Internet of Things (NG-IoT) creates new research challenges and priorities. The identified priorities encompass multiple components of the IoT stack and thus relate to 6G, Distributed Ledgers, Big Data, Artificial Intelligence, Cybersecurity, and Cloud Computing. The deployment of 5G/B5G paves the way for the NGIoT to become a reality. Due to the increasing popularity of the internet, the number of communication devices is The associate editor coordinating the review of this manuscript and approving it for publication was Pavlos I. Lazaridis. increasing at an exponential rate. Therefore, multiple access technology is being highlighted for the provision of massive access to IoT devices. Moreover, providing a large amount of intelligent IoT devices within a given bandwidth while simultaneously ensuring QoS parameters such as low latency and high throughput can be difficult. Non-orthogonal multiple access (NOMA) is expected to be one of the core technologies in fifth-generation (5G) mobile communication networks and in NGIoT [1], [2]. In typical orthogonal multiple access (OMA) systems, users with poor channel conditions are allotted network resources, but the spectral efficiency of these systems has
Queue-Aware Resource Allocation for Downlink OFDMA Cognitive Radio Networks
In this paper we consider resource allocation for an OFDMA-based cognitive radio point-to-multipoint network with fixed users. Specifically, we assume that secondary users are allowed to transmit on any subchannel provided that the interference that is created to any primary users is below a critical threshold. We focus on the downlink.
State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA
IEEE Wireless Communications
The explosive growth of mobile devices and the rapidly increasing demand of wideband wireless services enable an urgency for advanced communication techniques that can achieve high spectrum efficiency and satisfy the massive connectivity requirement. Cognitive radio (CR) and non-orthogonal multiple access (NOMA) techniques are envisioned to be adopted in the fifth generation wireless networks. Integrating NOMA techniques into CR networks has the tremendous potential to improve spectrum efficiency and increase the number of users. However, there are many technical challenges due to the severe interference caused by using non-orthogonal resources. Many efforts have been conducted to facilitate NOMA techniques into CR networks and investigate the effect of NOMA on them. This article aims to survey the latest research efforts made to enable NOMA techniques in CR networks. A taxonomy is devised to categorize and classify the literature based on operation paradigms, enabling techniques, objectives and optimization characteristic. Moreover, the key challenges are outlined to provide guidelines for the domain researchers and designers to realize the application of NOMA techniques into CR networks. Finally, we discuss the open research issues associated with NOMA in CR networks.
QoS constrained resource allocation to secondary users in cognitive radio networks
Computer Communications, 2009
In this paper, we consider a multi-channel cognitive radio network (CRN) where multiple secondary users share a single channel and multiple channels are simultaneously used by a single secondary user (SU) to satisfy their rate requirements. In such an environment, we attempt to evaluate the optimal power and rate distribution choices that each secondary user has to make in order to maintain their quality of service (QoS). Our measures for QoS include signal to interference plus noise ratio (SINR)/bit error rate (BER) and minimum rate requirement. We propose two centralized optimization frameworks in order to solve for the optimal resource management strategies. In the first framework, we determine the minimum transmit power that SUs should employ in order to maintain a certain SINR and use that result to calculate the optimal rate allocation strategy across channels. In the second framework, both transmit power and rate per channel are simultaneously optimized with the help of a bi-objective problem formulation. Unlike prior efforts, we transform the BER constraint into a convex constraint in order to guarantee optimality of the resulting solutions. Simulation results demonstrate that in both frameworks, optimal transmit power follows ''reverse water filling" process and rate allocation follows SINR. We also observe that, due to the ability to adapt both power and rate simultaneously to attain a certain BER, the joint optimization framework results in a lower total transmit power than the two-stage approach.
Elektronika ir Elektrotechnika, 2015
In this paper we describe a novel approach that combines dynamic spectrum allocation and transmission power optimization for the secondary network users in an heterogeneous cognitive radio network. The proposed approach builds upon reinforcement learning and convex optimization procedures. Furthermore, the several key components, i.e. inter-cell interference, path loss, and fading have been considered when designing the power optimization algorithm. Simulation results show that the proposed approach improves the QoS of the system by up to 10 dB in terms of SINR and by up to 4% in terms of spectral efficiency while maintaining the average dissatisfaction probability close to that of the non-optimized approach.
Resource Management for a Multi-Channel Cognitive-NOMA D2D Network
International Journal of Information and Communication Technology Research, 2022
In this paper, we investigate a non-orthogonal multiple access (NOMA)-based underlay multi-channel cognitive device-to-device (D2D) communications and efficiently exploit a resource management scheme for the investigated model. A two-stage solution is used in which sub-channels (SCs) and powers are jointly assigned to the D2Ds and transmitters, respectively, employing a convex optimization method to achieve the optimal parameters. We show that throughput of the D2D users can be maximized by the proposed strategy, subject to controlling total transmission power, interference power, and minimum rate requirements. We study the performance of the network by increasing the number of PUs and SCs. Moreover, minimum rate requirement and maximum allowed interference at the PUs versus sum rate of the SU transceivers is investigated. The simulation results present insights about the impact of the optimal power and SC allocations.
Multiuser Resource Allocation Optimization using Bandwidth-Power Product in Cognitive Radio Networks
Abstract—In this paper, the problem of resource allocation optimization is studied for a single-cell multiuser cognitive radio network in the presence of primary user networks. The spectral access of the cognitive radio network is based on Orthogonal Frequency Division Multiple Access (OFDMA). A joint bandwidth and power allocation is performed so that users' rate requirements are satisfied, and the integrity of primary user communication is preserved. In this work, two unique challenges are addressed.