Abstract

In this paper, we develop a statistical resource allocation scheme to mitigate the aggregated co-tier, cross-tier, and cross-link interference in ultra-dense heterogenous networks (HetNets). By statistically and cognitively characterizing the aggregated interference instead of instantaneous interference information exchange, our scheme allocates resources of power and channels to each femtocell distributively taking the impact on the macrocells into consideration. Simulation results show that the femtocell throughput is improved while reducing the macrocell throughput reduction simultaneously.

Highlights

  • With the rapid development of smart devices and new applications, an exponential mobile traffic volume growth is foreseen in the future wireless communication networks

  • The densely deployed small cells may suffer from severe mutual co-tier interference, cross-tier interference with macrocells, and even cross-link interference between uplink and downlink introduced by the flexible time division duplex (TDD) technology [5]

  • The centralized resource allocation schemes in the ultra-dense heterogeneous networks (HetNets) require significantly increased signalling overhead due to the interference related information exchange among the large number of deployed small cells, and the implementations are of great complexity

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Summary

INTRODUCTION

With the rapid development of smart devices and new applications, an exponential mobile traffic volume growth is foreseen in the future wireless communication networks. The centralized resource allocation schemes in the ultra-dense HetNets require significantly increased signalling overhead due to the interference related information exchange among the large number of deployed small cells, and the implementations are of great complexity. We propose a distributed statistical resource allocation scheme for the ultra-dense HetNets without deterministic interference related information exchange instantaneously or periodically. By utilizing local cognitive interference estimation and the channel reciprocity in TDD pattern, the proposed scheme generates the statistical information of the co-tier, cross-tier, and cross-link interference. It is very effective and practical for resource allocation in ultra-dense HetNets, since it saves the enormous overhead caused by instantaneous interference information exchange.

SYSTEM MODEL
PROBLEM FORMULATION
SIMULATION RESULTS
CONCLUSION
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