Enhanced Spectrum Access for QoS Provisioning in Multi-Class Cognitive D2D Communication System

Integration of Device-to-Device (D2D) communication into the cellular network can greatly enhance the spectrum utilization as well as creating additional communication opportunities. D2D can be combined with cognitive radio to further enhance spectrum utilization and cellular network performance. Unlike the traditional D2D communication approach which employs only cellular spectrum, cognitive D2D can enable sensing and utilizing non-cellular spectrum opportunistically as well, thus allowing to offload cellular base station traffic to non-cellular spectrum such as WiFi, Bluetooth, or TV white-spaces. Cognitive D2D users (cDUs) must vacate channel for primary users and hand-off to another secondary channel which renders it quite challenging to meet Quality of Service (QoS) requirements of multi-class cDUs in the presence of higher primary network load. In this work, an enhanced hybrid spectrum access scheme has been developed based on non-switching spectrum hand-off for multi-class DUs, utilizing both interweave and hybrid interweave underlay spectrum access strategies. Further, lower priority cDUs with non-real-time traffic remains in the system and wait for channels to become available, rather than being dropped from the system due to lack of secondary channels. A Continuous-Time Markov Chain (CTMC) has been developed to analyze the performance of the proposed scheme. For comparison, several cases, ranging from the simple cellular network to complex cellular-cognitive-D2D with hybrid-spectrum-access, have been analyzed. The main focus of the analysis is to compare the efficacy of enhanced hybrid spectrum access scheme with individual interweave and hybrid interweave underlay spectrum access strategies in terms of QoS provisioning for multi-class cDUs. The results depict improvement in throughput, spectrum utilization, and extended data delivery time for the proposed scheme and validate the suitability of the proposed scheme to meet QoS requirements for both delay-sensitive and delay-tolerant users of the multi-class cognitive D2D communication system.

[1]  Abiodun Gbenga-Ilori,et al.  Markovian Queueing Model for Throughput Maximization in D2D-Enabled Cellular Networks , 2018 .

[2]  Janne Riihijärvi,et al.  A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks , 2008, Comput. Networks.

[3]  Kaigui Bian,et al.  Neighbor discovery in mobile sensing applications: A comprehensive survey , 2016, Ad Hoc Networks.

[4]  Daniel Benevides da Costa,et al.  On the Performance of Multihop Cognitive Wireless Powered D2D Communications in WSNs , 2020, IEEE Transactions on Vehicular Technology.

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

[6]  Byung Moo Lee,et al.  On Exact Outage and Throughput Performance of Cognitive Radio based Non-Orthogonal Multiple Access Networks With and Without D2D Link , 2019, Sensors.

[7]  Vincent W. S. Wong,et al.  How to Download More Data from Neighbors? A Metric for D2D Data Offloading Opportunity , 2017, IEEE Transactions on Mobile Computing.

[8]  Adisorn Lertsinsrubtavee,et al.  Hybrid Spectrum Sharing through Adaptive Spectrum Handoff and Selection , 2016, IEEE Transactions on Mobile Computing.

[9]  Wei Cai,et al.  Blockchain-Empowered Fair Computational Resource Sharing System in the D2D Network , 2017, Future Internet.

[10]  Xingya Liu,et al.  Priority-based spectrum access in cognitive D2D networks for IoT , 2017, 2017 IEEE International Conference on Communications (ICC).

[11]  Xavier Fernando,et al.  Energy-efficient power allocation in underlay and overlay cognitive device-to-device communications , 2019, IET Commun..

[12]  Ping Zhang,et al.  A Novel Information and Energy Cooperation Transmission Scheme in Cognitive Spectrum Sharing-Based D2D Communication Systems , 2019, IEEE Access.

[13]  Shahzad Ali Malik,et al.  Analysis of Efficient Spectrum Handoff in a Multi-Class Hybrid Spectrum Access Cognitive Radio Network Using Markov Modelling , 2019, Sensors.

[14]  Dinh-Thuan Do,et al.  Improving Spectrum Efficiency in D2D- Assisted Cognitive Radio Networks: Application of NOMA and Performance Analysis , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

[15]  Alagan Anpalagan,et al.  Interference and throughput aware resource allocation for multi-class D2D in 5G networks , 2017, IET Commun..

[16]  George C. Polyzos,et al.  Service discovery for mobile Ad Hoc networks: a survey of issues and techniques , 2008, IEEE Communications Surveys & Tutorials.

[17]  Jian Yang,et al.  Enhanced Throughput of Cognitive Radio Networks by Imperfect Spectrum Prediction , 2015, IEEE Communications Letters.

[18]  Hang Zhang,et al.  Achievable Transmission Rate of the Secondary User in Cognitive Radio Networks with Hybrid Spectrum Access Strategy , 2013, IEEE Communications Letters.

[19]  Amal Algedir,et al.  Analytical Model for LTE Downlink Scheduler with D2D Communication for Throughput Estimation , 2019, 2019 IEEE Globecom Workshops (GC Wkshps).

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

[21]  Eryk Dutkiewicz,et al.  Optimal Mode Selection for Full-Duplex Enabled D2D Cognitive Networks , 2019, IEEE Access.

[22]  Rakesh Kumar Jha,et al.  Device-to-Device Communication in Cellular Networks: A Survey , 2016, J. Netw. Comput. Appl..

[23]  H. D. Tuan,et al.  Joint D2D Assignment, Bandwidth and Power Allocation in Cognitive UAV-Enabled Networks , 2020, IEEE Transactions on Cognitive Communications and Networking.

[24]  Zdenek Becvar,et al.  In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[25]  Fatih Alagöz,et al.  A Markovian model for satellite integrated cognitive and D2D HetNets , 2020, Comput. Networks.

[26]  Muhammad Naeem,et al.  Energy efficiency in cognitive radio assisted D2D communication networks , 2019, Telecommun. Syst..

[27]  J. Ben Atkinson,et al.  Modeling and Analysis of Stochastic Systems , 1996 .

[28]  Shahid Mumtaz,et al.  Smart Device to Smart Device Communication , 2014 .

[29]  Kang G. Shin,et al.  Transmit Power Control for D2D-Underlaid Cellular Networks Based on Statistical Features , 2017, IEEE Transactions on Vehicular Technology.

[30]  Omar Hayat,et al.  In-Band Device to Device (D2D) Communication and Device Discovery: A Survey , 2019, Wirel. Pers. Commun..

[31]  Yifeng Zhou.  New Spectrum Utilization Efficiency Metrics for Coexistence and Spectrum Sharing Applications , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).