Interference management and resource allocation in backhaul/access networks

Interference management and resource allocation in backhaul/access networks

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The interface management and resource allocation in backhaul (BH)/access networks for the cloud/centralized radio access networks (C-RAN) are two of the largest challenges to enable the C-RAN architecture deployment successfully in cellular wireless systems. From the PHY perspectives, one major advantage of C-RAN is the ease of implementation of multicell coordination mechanisms to manage the interference and improve the system spectral efficiency (SE). Theoretically, a large number of cooperative cells leads to a higher SE; however, it may also cause significant delay due to extra channel state information feedback and joint processing computational needs at the cloud data center, which is likely to result in performance degradation. In order to investigate the delay impact on the throughput gains, we divide the network into multiple clusters of cooperative small cells and formulate a throughput optimization problem. We model various delay factors and the sum-rate of the network as a function of cluster size, treating it as the main optimization variable. For our analysis, we consider both base stations' as well as users' geometric locations as random variables for both linear and planar network deployments. The output signal-to-interference-plus-noise ratio and ergodic sum-rate are derived based on the homogenous Poisson-point-processing model. The sum-rate optimization problem in terms of the cluster size is formulated and solved. From the radio resource management (RRM) perspective, we consider the problem of joint BH and access links optimization in dense small-cell networks with special focus on time division duplexing mode of operation in BH and access links transmission. Here, we propose a framework for joint RRM where we systematically decompose the problem in BH and access links. To simplify the analysis, the procedure is tackled in two stages. At the first stage, the joint optimization problem is formulated for a point-to-point scenario where each small cell is simply associated to a single user. In the second stage, the problem is generalized for multiaccess small cells. In addition, the chapter addressed thejoint routing and BH scheduling in a dense small-cell networks using 60 GHz multihop BH, coordinated by a local C-RAN central unit. The problem is formulated as a generalized vehicle routing problem and decoupled into two subproblems, channel-aware path selection and queue-aware link scheduling.

Chapter Contents:

  • Abstract
  • 8.1 Introduction
  • 8.2 Optimal cooperative cluster size
  • 8.2.1 System model
  • Clustering model
  • Channel model
  • 8.2.2 Desired signal and interference power
  • Desired signal power
  • Interference power
  • 8.2.3 Cluster size optimization
  • Output SINR
  • Output SINR with MRT precoder
  • Output SINR with ZF precoder
  • Delay model
  • 8.2.4 Discussion on backhaul load
  • 8.2.5 Ergodic sum-rate and optimization formulation
  • 8.2.6 Simulation results
  • P⃗x,P⃗I and output SINR in the absence of latency
  • Performance optimization in the presence of latency
  • 8.3 Joint routing and backhaul scheduling
  • 8.3.1 System model
  • 8.3.2 Problem formulation
  • Solutions framework
  • Path selection algorithm
  • Scheduling algorithm
  • 8.3.3 Simulation results
  • 8.4 Evaluation of the joint backhaul and access link design
  • 8.5 Conclusions
  • Acknowledgements
  • References

Inspec keywords: telecommunication scheduling; vehicle routing; cellular radio; cloud computing; radiofrequency interference; resource allocation; cooperative communication; telecommunication network routing; optimisation; telecommunication computing; multi-access systems; radio links; radio access networks; pattern clustering; stochastic processes; wireless channels

Other keywords: dense small-cell networks; resource allocation; SE improvement; cloud-centralized radio access network; radio resource management; cellular wireless system; sum-rate optimization problem; time division duplexing mode; cloud data center; interference management; BH-access network; C-RAN architecture; network sum rate; ergodic sum-rate; multihop BH; multiaccess small cells; queue-aware link scheduling; homogenous Poisson point processing model; point-to-point scenario; access links transmission; C-RAN cen- tral unit; throughput optimization problem; RRM; random variable; multicell coordination mechanism implementation; planar network deployment; cooperative small cell multiple cluster; linear network deployment; backhaul-access networks; base station; signal-to-interference-plus-noise ratio; channel state information feedback; frequency 60 GHz; cluster size function; channel-aware path selection; joint routing and BH scheduling; system spectral efficiency improvement; delay factor; generalized vehicle routing problem; joint BH and access link optimization

Subjects: Other topics in statistics; Communications computing; Internet software; Combinatorial mathematics; Optimisation techniques; Other topics in statistics; Radio access systems; Mobile radio systems; Electromagnetic compatibility and interference; Combinatorial mathematics; Multiple access communication; Communication network design, planning and routing; Optimisation techniques

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