Uplink Modeling of $K$ -Tier Heterogeneous Networks: A Queuing Theory Approach

Heterogeneous networks (HetNets) are expected to release enormous capacity beyond what is achievable now. This comes at the price of higher interference that may jeopardize proper network operation if not managed cautiously. In handling this problem, mathematical modeling of HetNets to understand their underlying facts is necessary. As the mathematical theory of waiting lines, queuing theory is exploited in this paper as a powerful tool to model the uplink transmission of a user equipment (UE) in a $K$ -tier HetNet, as an M/G/1 queue with interruption operating at the packet level. By integrating key findings on HetNets (using stochastic geometry) into the queue, a realistic model is obtained. This model enables us to understand what a UE experiences in terms of throughput, an angle that has barely been looked through by others. The modeling framework considers all the essential HetNet parameters, including the transmit power, spatial distribution, service rate, traffic flow intensity, and base station coverage threshold, to obtain the probability generating function and related statistics of the UE queue length.

[1]  Khaled Ben Letaief,et al.  User-Centric Intercell Interference Nulling for Downlink Small Cell Networks , 2014, IEEE Transactions on Communications.

[2]  Eitan Altman,et al.  Flow-level performance of random wireless networks , 2013, ArXiv.

[3]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[4]  Mérouane Debbah,et al.  Analysis and management of interference in 5G reverse TDD HetNets , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[5]  Jeffrey G. Andrews,et al.  Downlink coverage probability in MIMO HetNets with flexible cell selection , 2014, 2014 IEEE Global Communications Conference.

[6]  Jeffrey G. Andrews,et al.  Seven ways that HetNets are a cellular paradigm shift , 2013, IEEE Communications Magazine.

[7]  Heng Wang,et al.  Stochastic queue modeling and key design metrics analysis for solar energy powered cellular networks , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[8]  Marios Kountouris,et al.  HetNets and massive MIMO: Modeling, potential gains, and performance analysis , 2013, 2013 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).

[9]  Geng Wu,et al.  Capacity and coverage enhancement in heterogeneous networks , 2011, IEEE Wireless Communications.