A new cell association scheme in heterogeneous networks

Abstract

Abstract-Cell association scheme determines which base station (BS) and mobile user (MU) should be associated with and also plays a significant role in determining the average data rate a MU can achieve in heterogeneous networks. However, the explosion of digital devices and the scarcity of spectra collectively force us to carefully re-design cell association scheme which was kind of taken for granted before. To address this, we develop a new cell association scheme in heterogeneous networks based on joint consideration of the signal-to-interference-plus-noise ratio (SINR) which a MU experiences and the traffic load of candidate BSs 1 . MUs and BSs in each tier are modeled as several independent Poisson point processes (PPPs) and all channels experience independently and identically distributed (i.i.d.) Rayleigh fading. Data rate ratio and traffic load ratio distributions are derived to obtain the tier association probability and the average ergodic MU data rate. Through numerical results, We find that our proposed cell association scheme outperforms cell range expansion (CRE) association scheme. Moreover, results indicate that allocating small sized and high-density BSs will improve spectral efficiency if using our proposed cell association scheme in heterogeneous networks.

On the Energy and Spectral Efficiency Tradeoff in Massive MIMO-Enabled HetNets With Capacity-Constrained Backhaul Links

“…Although HetNets show great promises to obtain higher SE by universal frequency reuse, this infrastructure also introduces new challenges. Specifically, since the transmit powers can be much diverse for different kinds of BSs in HetNets, the conventional user association scheme which is determined according to signal-to-interference-plus-noise ratio (SINR), will cause heavy load imbalance and further damage the system SE and EE [7]. Therefore, the joint user association and spectrum allocation is needed to improve the network SE.…”

QoS‐aware cell association based on traffic prediction in heterogeneous cellular networks

“…Next, we compare the total throughput achieved by our proposed algorithm (labelled QoS‐aware) with the conventional cell association schemes, such as max reference signal received power (RSRP) and range expansion with biasing 3 dB [3], resource partitioning [8], cell selection scheme by adding ABS with biasing 0 dB [10], load‐aware cell association [5] and max Rate [6] (labelled Max RSRP, RE3dB, RP, ABS0dB, Load‐aware and Max Rate, respectively). The achievable capacity at each stage is supposed to be the total throughput per stage in this simulation.…”

“…In [5], a load‐based cell association where the bias value is determined by an adjustment function of cell load is developed. Yang et al present a cell association scheme based on the joint consideration of the SINR and the traffic load of candidate cells [6]. In addition, the interference caused by dense deployment of co‐frequency cells also affects the cell association.…”

Practical energy‐aware cell association for small cell deployment

“… proposes a method to determine the offset that equalizes the load in the macro and pico cells. Work in determines rather the offset that maximizes a function of the user throughput, while and capture the trade‐off between user signal to interference and noise ratio (SINR) and cell load in the proposed cell association algorithms.…”