Abstract

The heterogeneous cloud radio access network (HCRAN) is a promising paradigm which integrates the advantages of cloud radio access network (C-RAN) and heterogeneous network (HetNet). In this paper, we study the joint congestion control and resource optimization to explore the energy efficiency (EE)-guaranteed tradeoff between throughput utility and delay performance in a downlink slotted H-CRAN. We formulate the considered problem as a stochastic optimization problem, which maximizes the utility of average throughput and maintains the network stability subject to required EE constraint and transmit power consumption constraints by traffic admission control, user association, resource block allocation and power allocation. Leveraging on the Lyapunov optimization technique, the stochastic optimization problem can be transformed and decomposed into three separate subproblems which can be solved concurrently at each slot. The third mixed-integer nonconvex subproblem is efficiently solved utilizing the continuity relaxation of binary variables and the Lagrange dual decomposition method. Theoretical analysis shows that the proposal can quantitatively control the throughput-delay performance tradeoff with required EE performance. Simulation results consolidate the theoretical analysis and demonstrate the advantages of the proposal from the prospective of queue stability and power consumption.

Highlights

  • The mobile operators are facing the continuously growing demand for ubiquitous high-speed wireless access and the explosive proliferation of smart phones

  • Let the binary variable ajk(t) and amk(t) indicate the allocation of resource block (RB) k of remote radio heads (RRHs) tier to RUE j and HUE m at slot t, respectively, and let bml(t) indicate the allocation of RB l of high power nodes (HPNs) to HUE m at slot t, we have the following non-reuse constraints cRk (t) =

  • The transmit rate of RUE j and HUE m at slot t is given by with high traffic arrival rates will be served by the RRHs

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Summary

INTRODUCTION

The mobile operators are facing the continuously growing demand for ubiquitous high-speed wireless access and the explosive proliferation of smart phones. By leveraging cloud computing technologies, the cloud radio access network (C-RAN) has emerged as a promising solution for providing good performance in terms of both SE and EE across software defined wireless communication networks [4]. In C-RANs, the remote radio heads (RRHs) configured only with some front radio frequency (RF) functionalities are connected to the baseband unit (BBU) pool through fronthaul links (e.g., optical fibers) to enable cloud computing-based large-scale cooperative signal processing. The constrained fronthaul link between the RRH and the BBU pool presents a performance bottleneck to large-scale cooperation gains. The high power nodes (HPNs) are configured with the entire communication functionalities from physical to network layers, and the delivery of control and broadcast signalling is shifted from RRHs to HPNs, which alleviates the capacity and time delay constraints on the fronthaul. For a time-varying H-CRAN that adopts orthogonal frequency division multiple access (OFDMA), besides of power and resource block (RB) allocation, the traffic admission, the user association are critical for improving key performances

Related Works
Main Contributions
SYSTEM MODEL AND PROBLEM FORMULATION
Physical Layer Model
Queue Dynamics and Queue Stability
Problem Formulation
DYNAMIC OPTIMIZATION UTILIZING LYAPUNOV OPTIMIZATION
Equivalent Formulation via Virtual Queues
Problem Transformulation via Lyapunov Optimization
Problem Decomposition
Continuity Relaxation
Dual Decomposition
Bounded Queues
Utility Performance
Parameters Setting
The Delay-Throughput Tradeoff with Guaranteed EE
The Convergence of The Proposed Solution
The Performance Comparison under Different Traffic Arrival Rate
CONCLUSION
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