Fair Resource Allocation in Cooperative Cognitive Radio Iot Networks

Due to the growing demand for spectral resources with the emergence of IoT networks and applications, cooperative cognitive radio IoT networks (CCR-IoTN) are expected to play an essential role in the world of smart technology. In this paradigm, the benefits of cooperative communication and cognitive radio networks (CRN) are merged to meet IoT networks’ needs. In this work, we employ the hybrid overlay-underlay CRN to guarantee both the secondary user (SU) stability and provide acceptable total throughput. In our CCR-IoTN, SUs may act as a relay to help the primary transmission. If the primary user (PU) is active, the secondary non-relay nodes transmit concurrently with the PU in underlay mode. In return for their cooperation, SUs are allowed to access the spectrum to transmit their data in overlay mode. In this context, we propose several fair resource allocation frameworks and compare well-known problems such as spectrum efficiency, energy efficiency as an objective function for CCR-IoTN. This kind of problem is inherently nonconvex. To solve the problems, therefore, we reformulate them as a convex problem using quadratic transform. Finally, we use simulation to evaluate the performance of the proposed hybrid resource allocation method. The resource allocation framework based on proportional fairness policy is shown to have acceptable performance in terms of throughput, fairness, and energy efficiency.

[1]  Hans-Jürgen Zepernick,et al.  Performance Optimization for Hybrid Two-Way Cognitive Cooperative Radio Networks With Imperfect Spectrum Sensing , 2018, IEEE Access.

[2]  Arnab Raha,et al.  Energy-efficient system design for IoT devices , 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

[3]  Huanyu Wang,et al.  Power Control for Cognitive M2M Communications Underlaying Cellular With Fairness Concerns , 2019, IEEE Access.

[4]  Jing He,et al.  Relay Cooperation and Outage Analysis in Cognitive Radio Networks With Energy Harvesting , 2018, IEEE Systems Journal.

[5]  Geoffrey Ye Li,et al.  Simplified Relay Selection and Power Allocation in Cooperative Cognitive Radio Systems , 2011, IEEE Transactions on Wireless Communications.

[6]  Yi-hua Zhu,et al.  Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting , 2019, IEEE Transactions on Communications.

[7]  Lu Lv,et al.  Energy efficient relay selection and power allocation for cooperative cognitive radio networks , 2015, IET Commun..

[8]  Yang Gao,et al.  An Effective Multi-Objective Optimization Algorithm for Spectrum Allocations in the Cognitive-Radio-Based Internet of Things , 2018, IEEE Access.

[9]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[10]  Masoud Sabaei,et al.  A Stackelberg game for relay selection and power allocation in an active cooperative model involving primary users and secondary users , 2018, Int. J. Commun. Syst..

[11]  Jun Wu,et al.  Energy-Efficient Cooperative Spectrum Sensing With Reporting Errors in Hybrid Spectrum Sharing CRNs , 2018, IEEE Access.

[12]  Qingqing Wu,et al.  Spectral and Energy-Efficient Wireless-Powered IoT Networks , 2018, Wireless Information and Power Transfer.

[13]  Wei Yu,et al.  Fractional Programming for Communication Systems—Part II: Uplink Scheduling via Matching , 2018, IEEE Transactions on Signal Processing.

[14]  Emil Björnson,et al.  Prospective Multiple Antenna Technologies for Beyond 5G , 2020, IEEE Journal on Selected Areas in Communications.

[15]  I. Stancu-Minasian Nonlinear Fractional Programming , 1997 .

[16]  Derrick Wing Kwan Ng,et al.  Key technologies for 5G wireless systems , 2017 .

[17]  Feng Li,et al.  Trading-Based Dynamic Spectrum Access and Allocation in Cognitive Internet of Things , 2019, IEEE Access.

[18]  Jun Fang,et al.  Channel Estimation for TDD/FDD Massive MIMO Systems With Channel Covariance Computing , 2017, IEEE Transactions on Wireless Communications.

[19]  Kai-Kit Wong,et al.  Energy-Efficient Heterogeneous Cellular Networks With Spectrum Underlay and Overlay Access , 2016, IEEE Transactions on Vehicular Technology.

[20]  Nirwan Ansari,et al.  Energy Efficient Resource Allocation in EH-Enabled CR Networks for IoT , 2018, IEEE Internet of Things Journal.

[21]  Hsiao-Hwa Chen,et al.  Cooperative Communications for Cognitive Radio Networks — From Theory to Applications , 2014, IEEE Communications Surveys & Tutorials.

[22]  Qihui Wu,et al.  Cognitive Internet of Things: A New Paradigm Beyond Connection , 2014, IEEE Internet of Things Journal.

[23]  Nail Akar,et al.  Queue management for two-user cognitive radio with delay-constrained primary user , 2018, Comput. Networks.

[24]  Fatemeh Afghah,et al.  Spectrum sharing in cooperative cognitive radio networks: A matching game framework , 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

[25]  Wei Yu,et al.  Fractional Programming for Communication Systems—Part I: Power Control and Beamforming , 2018, IEEE Transactions on Signal Processing.

[26]  Hans-Jürgen Zepernick,et al.  Hybrid spectrum access with relay assisting both primary and secondary networks under imperfect spectrum sensing , 2016, EURASIP J. Wirel. Commun. Netw..

[27]  Bin Liao,et al.  QoE-Oriented Rate Control and Resource Allocation for Cognitive M2M Communication in Spectrum-Sharing OFDM Networks , 2019, IEEE Access.

[28]  Zhu Han,et al.  Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach , 2009, IEEE Transactions on Mobile Computing.

[29]  Abolfazl Razi,et al.  Game Theoretic Study of Cooperative Spectrum Leasing in Cognitive Radio Networks , 2014, Int. J. Handheld Comput. Res..

[30]  Hans-Jürgen Zepernick,et al.  Hybrid Interweave-Underlay Spectrum Access for Cognitive Cooperative Radio Networks , 2014, IEEE Transactions on Communications.

[31]  Gongliang Liu,et al.  Downlink Design for Spectrum Efficient IoT Network , 2018, IEEE Internet of Things Journal.

[32]  Lijie Wang,et al.  A Stackelberg Game for DSTC-Based Cognitive Radio Networks with Multiple Cooperative Relays , 2016, 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS).

[33]  Mubashir Husain Rehmani,et al.  Cognitive-Radio-Based Internet of Things: Applications, Architectures, Spectrum Related Functionalities, and Future Research Directions , 2017, IEEE Wireless Communications.