Distributed Channel Access, Relay Selection and Time Assignment for QoE-Aware Relay Networks

In this paper, we tackle the comprehensive problem jointing channel access, relay selection, and available time assignment for distributed relay networks which includes multiple source nodes and relay nodes. Driven by various communication requirements, source nodes search for relay nodes to improve the quality of transmission. Due to the interaction relationship, source nodes have to compete for channels and time resource of relay nodes with other source devices. To promote the satisfaction performance among source nodes, we divide the optimization problems of channel access and relay selection into two sub-problems, respectively. Then the distributed hierarchical game models are constructed, in which the problem of channel access is modeled as a congestion game model, and relay selection jointing time assignment is modeled as a matching model with dynamic quotas. Combining two game models, a distributed hierarchical scheme is designed, which is shown to reach a stable result and the properties are studied. The simulation and experimental results show that the proposed distributed QoE-aware method has obvious performance improvement in terms of satisfaction, fairness, and convergence.

[1]  Yueming Cai,et al.  Physical–Social-Aware D2D Content Sharing Networks: A Provider–Demander Matching Game , 2018, IEEE Transactions on Vehicular Technology.

[2]  Alvin E. Roth,et al.  Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis , 1990 .

[3]  Cheng Ding,et al.  Relay Assignment in Cooperative Communication Networks: Distributed Approaches Based on Matching Theory , 2016, KSII Trans. Internet Inf. Syst..

[4]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[5]  I. Milchtaich,et al.  Congestion Games with Player-Specific Payoff Functions , 1996 .

[6]  Ekram Hossain,et al.  Decoupled Uplink-Downlink User Association in Multi-Tier Full-Duplex Cellular Networks: A Two-Sided Matching Game , 2017, IEEE Transactions on Mobile Computing.

[7]  Song Guo,et al.  Energy-Efficient Cooperative Communications for Multimedia Applications in Multi-Channel Wireless Networks , 2015, IEEE Transactions on Computers.

[8]  Qihui Wu,et al.  User-Demand-Aware Wireless Network Selection: A Localized Cooperation Approach , 2014, IEEE Transactions on Vehicular Technology.

[9]  Cheng Ding,et al.  Joint relay selection and channel allocation in cooperative communication: A game theoretic learning solution , 2015, 2015 International Conference on Wireless Communications & Signal Processing (WCSP).

[10]  Syed Hassan Ahmed,et al.  NBC-MAIDS: Naïve Bayesian classification technique in multi-agent system-enriched IDS for securing IoT against DDoS attacks , 2018, The Journal of Supercomputing.

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

[12]  Alagan Anpalagan,et al.  Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective , 2018, IEEE Wireless Communications.

[13]  Norman C. Beaulieu,et al.  Distributed Resource Allocation in SDCN-Based Heterogeneous Networks Utilizing Licensed and Unlicensed Bands , 2018, IEEE Transactions on Wireless Communications.

[14]  Jaime Lloret,et al.  Adaptive Cross-Layer Multipath Routing Protocol for Mobile Ad Hoc Networks , 2016, J. Sensors.

[15]  Alagan Anpalagan,et al.  A game-theoretic perspective on self-organizing optimization for cognitive small cells , 2015, IEEE Communications Magazine.

[16]  Tsungnan Lin,et al.  Decentralized Learning-Based Relay Assignment for Cooperative Communications , 2016, IEEE Transactions on Vehicular Technology.

[17]  Weidong Wang,et al.  Distributed Caching Based on Matching Game in LEO Satellite Constellation Networks , 2018, IEEE Communications Letters.

[18]  Miao Pan,et al.  LTE-Unlicensed Coexistence Mechanism: A Matching Game Framework , 2016, IEEE Wireless Communications.

[19]  Song Guo,et al.  Capacity maximization in cooperative CRNs: Joint relay assignment and channel allocation , 2012, 2012 IEEE International Conference on Communications (ICC).

[20]  Walid Saad,et al.  Matching theory for future wireless networks: fundamentals and applications , 2014, IEEE Communications Magazine.

[21]  Cheng Ding,et al.  Distributed satisfaction‐aware relay assignment: a novel matching‐game approach , 2016, Trans. Emerg. Telecommun. Technol..

[22]  Yiwei Thomas Hou,et al.  An Optimal Algorithm for Relay Node Assignment in Cooperative Ad Hoc Networks , 2011, IEEE/ACM Transactions on Networking.

[23]  Xi Fang,et al.  OPRA: Optimal Relay Assignment for Capacity Maximization in Cooperative Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[24]  Qihui Wu,et al.  Demand-Aware Multichannel Opportunistic Spectrum Access: A Local Interaction Game Approach With Reduced Information Exchange , 2015, IEEE Transactions on Vehicular Technology.

[25]  Yuhua Xu,et al.  Self-organising multiuser matching in cellular networks: a score-based mutually beneficial approach , 2016, IET Commun..

[26]  Alagan Anpalagan,et al.  Dynamic Spectrum Access in Time-Varying Environment: Distributed Learning Beyond Expectation Optimization , 2015, IEEE Transactions on Communications.

[27]  Miao Pan,et al.  One Stone Two Birds: A Joint Thing and Relay Selection for Diverse IoT Networks , 2018, IEEE Transactions on Vehicular Technology.

[28]  Chunming Qiao,et al.  Shared Relay Assignment (SRA) for Many-to-One Traffic in Cooperative Networks , 2016, IEEE Transactions on Mobile Computing.

[29]  Yang Yang,et al.  Relay technologies for WiMax and LTE-advanced mobile systems , 2009, IEEE Communications Magazine.

[30]  Raviraj S. Adve,et al.  Improving amplify-and-forward relay networks: optimal power allocation versus selection , 2006, IEEE Transactions on Wireless Communications.