Adaptive Mode Switching Based on Statistical CSI for Downlink MIMO in Heterogeneous Network with RRH Deployment

Dai, Yongyu; Jin, Shi; Pan, Leyuan; Gao, Xiqi; Jiang, Lei; Lei, Ming

doi:10.1109/vtcspring.2013.6691859

Cited by 2 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [3], the closed-form expressions of ergodic capacities achieved by both the single nearest and N -nearest remote radio head (RRH) association strategies are characterized only in the high signal-to-noise-ratio (SNR) regime. The improvement of the ergodic capacity by the cooperative RRHs has been proved in [4]. Nevertheless, this prove is mostly based on the simulation results rather than the derived expressions.…”

Section: Introductionmentioning

confidence: 99%

Ergodic Rate Analysis for User Access in Downlink Heterogeneous Cloud Radio Access Networks

Yang¹,

Peng²,

Shi³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

Characterizing user access methods in heterogeneous cloud radio access networks (H-CRANs) is critical for performance optimization. Different from the user access in cloud radio access networks (C-RANs), the inter-tier interference from macro base station has a great impact on user access in H-CRANs. In this paper, after considering the inter-tier interference, the ergodic rates of downlink H-CRANs for two proposed user access methods, namely distance based and cluster based, are analyzed. The corresponding mathematical expressions of ergodic rates have been derived. In particular, the closed-form expression for the upper bound of ergodic rate is proposed. Simulation results corroborate the accuracy of the derived expressions for these two methods. Furthermore, the cluster based user access method outperforms the distance based user access method when the intensity of remote radio heads is sufficiently high.

show abstract

Section: Introductionmentioning

confidence: 99%