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A new PUCCH resource mapping method in interband TDD carrier aggregation systems

Authors: Yang Lu; Qin Mu; Liu Liu 0016; Mingju Li; Lan Chen; Kazuaki Takeda 0001;

A new PUCCH resource mapping method in interband TDD carrier aggregation systems

Abstract

In order to support a higher peak data rate, carrier aggregation (CA) is implemented into Long Term Evolution Advanced (LTE-A) systems to provide sufficient bandwidth for data transmission. In Time Division Duplexing (TDD) CA systems, aggregation of Component Carriers (CCs) with different TDD configurations is necessary due to the coexistence with legacy TDD systems. To achieve the peak data rate of Secondary Cell (SCell) in case of cross-carrier scheduling, the Physical Downlink Shared CHannel (PDSCH) hybrid automatic repeat request (HARQ) timing of SCell should follow its own PDSCH HARQ timing. Meanwhile, Primary Cell (PCell) still uses its own PDSCH HARQ timing. However, using different PDSCH HARQ timing between PCell and SCell may lead to Physical Uplink Control CHannel (PUCCH) resource mapping collision, which sacrifices downlink (DL) peak data rate and increases transmission latency for the reason of PDSCH HARQ feedback failure. In this paper, a new implicit PUCCH resource mapping method is proposed to avoid PUCCH collision in inter-band TDD CA systems. ENB and user equipment (UE) re-allocate PUCCH resources for each DL subframe on SCell. By using this proposal, PUCCH collision for cross-carrier scheduling in TDD CA systems can be completely eliminated without introducing significant PUCCH overhead increase.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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