Robust Detection with Stable Throughput over Ill-Conditioned Channels for High-Order MIMO Systems

Wang, Weilei; Ren, Pinyi; Du, Qinghe; Li, Sun

doi:10.1109/vtcfall.2013.6692392

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…As a result, eICIC is mainly used in the co-channel deployment where the macrocell to small cell interference is a major issue, while DC is mainly suitable for the orthogonal deployment where the traffic flow splitting or the mobility management is a major issue. Other new emerging technologies in Cell Type 3 include dynamic small cell idle modes [21], [44], [45], dynamic Time Division Duplexing (TDD) transmission [18], [19], [20] (which have attracted a lot of momentum in both the academia and the industry in the last years), high-order MIMO techniques [46], [47], etc. Cell Type 4, finally, will push the technology frontier even further by using a very wide spectrum in high-frequency bands, e.g., mmWave [48], [49], [50], and exploiting massive MIMO techniques to achieve beam forming and spatial multiplexing [51], [52], etc.…”

Section: Small Cells In Hetnetsmentioning

confidence: 99%

Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments

Liu¹,

Ding

Claußen³

et al. 2015

IEEE Commun. Surv. Tutorials

466

357

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Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a 100× network capacity increase will be required to meet the traffic demands in 2020. As a result, vendors and operators are now looking at using every tool at hand to improve network capacity. In this epic campaign, three paradigms are noteworthy, i.e., network densification, the use of higher frequency bands and spectral efficiency enhancement techniques. This paper aims at bringing further common understanding and analysing the potential gains and limitations of these three paradigms, together with the impact of idle mode capabilities at the small cells as well as the user equipment density and distribution in outdoor scenarios. Special attention is paid to network densification and its implications when transitioning to ultra-dense small cell deployments. Simulation results show that network densification with an average inter site distance of 35 m can increase the cell-edge UE throughput by up to 48×, while the use of the 10 GHz band with a 500 MHz bandwidth can increase the network capacity up to 5×. The use of beamforming with up to 4 antennas per small cell base station lacks behind with cell-edge throughput gains of up to 1.49×. Our study also shows how network densifications reduces multiuser diversity, and thus proportional fair alike schedulers start losing their advantages with respect to round robin ones. The energy efficiency of these ultra-dense small cell deployments is also analysed, indicating the need for energy harvesting approaches to make these deployments energy-efficient. Finally, the top ten challenges to be addressed to bring ultra-dense small cell deployments to reality are also discussed.

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