Interference Coordination and Resource Allocation Planning With Predicted Average Channel Gains for HetNets

Guo, Kaiyang; Liu, Tingting; Yang, Chenyang; Xiong, Zixiang

doi:10.1109/access.2018.2873418

Cited by 12 publications

(6 citation statements)

References 35 publications

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“…This solution achieves a relatively stable ratio of ABRB, of

, and of

as the number of small cells increases. Predictive ICI and RA in Het-Nets with spatial division multiple access for a fixed number of BSs and variable number of UEs is proposed in [ 39 ]. The DL data stream is divided into frames, and the algorithm determines which BS is to serve which user at each frame (interfering BSs do not transmit for its duration).…”

Section: Graph-based Ra In Cellular Homogeneous and Het-netsmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

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Resource allocation (RA) has always had a prominent place in wireless communications research due to its significance for network throughput maximization, and its inherent complexity. Concurrently, graph-based solutions for RA have also grown in importance, providing opportunities for higher throughput and efficiency due to their representational capabilities, as well as challenges for realizing scalable algorithms. This article presents a comprehensive review and analysis of graph-based RA methods in three major wireless network types: cellular homogeneous and heterogeneous, device-to-device, and cognitive radio networks. The main design characteristics, as well as directions for future research, are provided for each of these categories. On the basis of this review, the concept of Graph-based Resource allocation for Integrated Space and Terrestrial communications (GRIST) is proposed. It describes the inter-connectivity and coexistence of various terrestrial and non-terrestrial networks via a hypergraph and its attributes. In addition, the implementation challenges of GRIST are explained in detail. Finally, to complement GRIST, a scheme for determining the appropriate balance between different design considerations is introduced. It is described via a simplified complete graph-based design process for resource management algorithms.

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“…This solution achieves a relatively stable ratio of ABRB, of

, and of

Section: Graph-based Ra In Cellular Homogeneous and Het-netsmentioning

confidence: 99%

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Ivanov

Tonchev

Poulkov

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Consider zero-forcing precoder, then the multi-user interference in ( 8) can be completely avoided if K max ≤ N tx . From the analysis in [19] and [26], the average SINR in the f th frame can be approximated aŝ…”

Section: ) Problem Simplificationmentioning

confidence: 99%

“…When ( 19) is unsatisfied, BS g should allocate more than m f * k,g RBs to UE k by borrowing RBs from other users. We know that for UE k , except the required RBs to meet (19), the average number of remaining RBs can be estimated asm f * k,g − R f,th k,g /r f k,g . Considering that users with more remaining RBs are easier to meet the QoS requirements, the user whose reserved RBs are not enough can borrow RBs from the ones with abundant remaining RBs.…”

Section: ) Problem Simplificationmentioning

confidence: 99%

“…Predictive resource allocation can exploit the predictable fine-grained channel information to improve user experience or resource usage efficiency [18][19][20][21]. In [18], the future average channel gains were used for energy-efficient resource allocation with ensured QoS of mobile users requesting hybrid realtime and non-realtime services.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], the future average channel gains were used for energy-efficient resource allocation with ensured QoS of mobile users requesting hybrid realtime and non-realtime services. In [19], the predicted average channel gains were used for interference coordination and resource allocation planning to improve the user satisfactory rate in heterogeneous networks. In [20], an energy-efficient adaptive video streaming framework was proposed by leveraging the predicted data rates in wireless networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dual Connectivity-Aided Proactive Handover and Resource Reservation for Mobile Users

Liu

Yang

et al. 2021

IEEE Access

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Dual connectivity has been regarded as an effective mechanism for mobility management to reduce the handover latency and improve transmission reliability. In this paper, we investigate a dual connectivity-aided proactive mobility management scheme for mobile users requesting realtime service with minimum data rate requirements. The proactive mobility management consists of a predictive resource reservation scheme and a proactive handover scheme. The predictive resource reservation scheme is optimized to improve the network throughput or user fairness with the predicted average channel gains and the predicted set of connected base stations for each user. The proactive handover scheme aims to avoid frequent and delayed handovers, and reduce the computational complexity by partitioning cell-center and cell-edge users and choosing different numbers of connected base stations for the two types of users. Simulation results show that the proposed scheme outperforms reactive counterparts, which can effectively reduce service outages meanwhile support higher network throughput when the traffic load is heavy, or improve user fairness meanwhile cause less service outages when the traffic load is light.INDEX TERMS Dual connectivity, mobility management, proactive handover, predictive resource reservation, neural network.

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A Fast Terminal Matching Method for Interference Coordination Based on Wavelet Transform and Graph Theory in Ultra-Dense Multi-Cell Scenarios

et al. 2021

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Interference Coordination and Resource Allocation Planning With Predicted Average Channel Gains for HetNets

Cited by 12 publications

References 35 publications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications

Dual Connectivity-Aided Proactive Handover and Resource Reservation for Mobile Users

A Fast Terminal Matching Method for Interference Coordination Based on Wavelet Transform and Graph Theory in Ultra-Dense Multi-Cell Scenarios

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