An interference management approach for CR-assisted cooperative D2D communication

Abstract In this paper, we investigate a cooperative D2D communication in cognitive radio (CR) networks, which is composed of two secondary links, one primary link, and a relay network. In cases where data transmission is not performed directly, the source devices can communicate with their destinations via the relay network, which consists of some idle secondary devices. We propose a clustering relay selection (RS) method to enable simultaneous transmission of primary and secondary sources. The proposed RS classifies the relay devices into two clusters and assigns one cluster to the primary link and another to the secondary links. Furthermore, an interference management approach is proposed to improve the system performance. By jointly employing the proposed RS and a cooperative beamforming (CBF) method in each cluster, the investigated approach can maximize the received SINR at the destinations while maintaining the interference plus noise power below a predefined threshold. To investigate the performance, we optimize the proposed RS and CBF vectors by solving a convex semidefinite problem using the bisection search algorithm. Simulation results are provided to show the efficiency of the investigated strategy.

[1]  Mehrdad Ardebilipour,et al.  Cognitive Radio and Cooperation among the Primary and Secondary Users , 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

[2]  Hamid Farrokhi,et al.  Joint Clustering Relay Selection and Beamforming in Cooperative Cognitive Radio Networks , 2017, Wireless Personal Communications.

[3]  R. Chandramouli,et al.  Joint Spectrum and Energy Efficiency in Device to Device Communication Enabled Wireless Networks , 2017, IEEE Transactions on Cognitive Communications and Networking.

[4]  Tobias Weber,et al.  Cooperative communication with partial channel-state information in multiuser MIMO systems , 2011 .

[5]  Minghua Xia,et al.  Cooperative AF Relaying in Spectrum-Sharing Systems: Performance Analysis under Average Interference Power Constraints and Nakagami-m Fading , 2012, IEEE Transactions on Communications.

[6]  Mehrdad Ardebilipour,et al.  Optimal Cooperative Relaying for Cognitive Radio Networks with Three Unlicensed Links , 2018, 2018 9th International Symposium on Telecommunications (IST).

[7]  Woo-Sung Jung,et al.  Energy efficient quality-of-service for WLAN-based D2D communications , 2015, Ad Hoc Networks.

[8]  Xue Chen,et al.  Energy efficient resource allocation for D2D communication underlaying cellular networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[9]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[10]  Nei Kato,et al.  Device-to-device communications for enhancing quality of experience in software defined multi-tier LTE-A networks , 2015, IEEE Network.

[11]  Vahid Tabataba Vakili,et al.  Maximizing the minimum achievable rates in Cognitive Radio networks subject to stochastic constraints , 2018, AEU - International Journal of Electronics and Communications.

[12]  Lei Huang,et al.  Energy efficient power allocation for co-located antenna systems with D2D communication , 2018 .

[13]  Bin Guo,et al.  Graph-Based Resource Allocation for D2D Communications Underlying Cellular Networks in Multiuser Scenario , 2014 .

[14]  Xiaohu You,et al.  Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications , 2016, IEEE Transactions on Vehicular Technology.

[15]  Bala Srinivasan,et al.  Secure sharing and searching for real-time video data in mobile cloud , 2015, IEEE Network.

[16]  Jiaheng Wang,et al.  Downlink Resource Reuse for Device-to-Device Communications Underlaying Cellular Networks , 2014, IEEE Signal Processing Letters.

[17]  Javad Zeraatkar Moghaddam,et al.  Optimal cooperative beamforming design in cognitive radio networks with multiple secondary user links , 2017, Int. J. Commun. Syst..

[18]  Jin Yang,et al.  Joint relay selection and resource allocation in cooperative device-to-device communications , 2017 .

[19]  Caijun Zhong,et al.  Joint Spectrum and Power Allocation for D2D Communications Underlaying Cellular Networks , 2016, IEEE Transactions on Vehicular Technology.

[20]  Santi P. Maity,et al.  On outage minimization in relay assisted cognitive radio networks with energy harvesting , 2019, Ad Hoc Networks.

[21]  Zhigang Cao,et al.  Cooperative Beamforming for Cognitive Radio Networks: A Cross-Layer Design , 2012, IEEE Transactions on Communications.

[22]  Ding Xu,et al.  Minimizing secrecy outage probability for primary users in cognitive radio networks , 2018 .

[23]  Ekram Hossain,et al.  Dynamic Spectrum Access and Management in Cognitive Radio Networks , 2009 .

[24]  Jian Chen,et al.  Cross-Layer QoE Optimization for D2D Communication in CR-Enabled Heterogeneous Cellular Networks , 2018, IEEE Transactions on Cognitive Communications and Networking.

[25]  Mahmoud M. Elmesalawy,et al.  Adaptive Resource Sharing Algorithm for Device-to-Device Communications Underlaying Cellular Networks , 2016, IEEE Communications Letters.

[26]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[27]  Vijay K. Bhargava,et al.  Cooperative Beamforming for Cognitive-Radio-Based Broadcasting Systems in Presence of Asynchronous Interference , 2017, IEEE Transactions on Vehicular Technology.

[28]  Andres Kwasinski,et al.  Cooperative Communications and Networking , 2009 .

[29]  Eduard A. Jorswieck,et al.  Energy Efficiency in MIMO Underlay and Overlay Device-to-Device Communications and Cognitive Radio Systems , 2015, IEEE Transactions on Signal Processing.

[30]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[31]  Wentao Zhao,et al.  Resource Sharing Scheme for Device-to-Device Communication Underlaying Cellular Networks , 2015, IEEE Transactions on Communications.

[32]  Lian Zhao,et al.  Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology , 2017, IEEE Transactions on Vehicular Technology.

[33]  Trung Q. Duong,et al.  MIMO cooperative communication network design with relay selection and CSI feedback , 2015 .

[34]  Xiang Cheng,et al.  Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach , 2012, IEEE Journal on Selected Areas in Communications.

[35]  Fabrizio Granelli,et al.  A Device-to-Device Communication-Based Disaster Response Network , 2018, IEEE Transactions on Cognitive Communications and Networking.

[36]  Fabrizio Granelli,et al.  Optimal received SINR balancing based on cooperative beamforming in cognitive radio networks , 2017, Int. J. Commun. Syst..

[37]  George P. Efthymoglou,et al.  Device-to-Device Communication Aspects for 5G Cellular Networks , 2017 .

[38]  Geoffrey Ye Li,et al.  Device-to-Device Communications Underlaying Cellular Networks , 2013, IEEE Transactions on Communications.

[39]  Fabrizio Granelli,et al.  Cognitive Radio and Device-to-Device Communication: A Cooperative Approach for Disaster Response , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[40]  Chongtao Guo,et al.  Power allocation criteria for distributed antenna systems with D2D communication , 2018 .

[41]  Halim Yanikomeroglu,et al.  Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions , 2014, IEEE Communications Magazine.

[42]  Lunwen Wang,et al.  Distributed cooperative spectrum sensing based on reinforcement learning in cognitive radio networks , 2018, AEU - International Journal of Electronics and Communications.