Cooperative communication technologies for LTE-advanced

Nam, Young‐Han; Liu, Lingjia; Wang, Yan; Zhang, Charlie; Cho, Joonyoung; Han, Jinkyu

doi:10.1109/icassp.2010.5495250

Cited by 25 publications

(8 citation statements)

References 8 publications

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“…Different types of cooperation are possible. Referring to current 3GPP activities, joint scheduling [2], joint beamforming [3] and joint processing [4] are techniques which are under discussion for LTE-Advanced. These techniques achieve different performance gains in terms of throughput [5][6][7] and have a different impact on the wireline network infrastructure of the mobile network.…”

Section: Introductionmentioning

confidence: 99%

Designing optical metro and access networks for future cooperative cellular systems

Biermann

Scalia

Karl

2011

Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Using Coordinated Multi-Point (CoMP) transmission and reception techniques poses challenging latency and capacity requirements on the backhaul network infrastructure of cellular access systems. On a small scale, these requirements can be fulfilled by using upcoming optical technologies like Wavelength Division Multiplexing (WDM) Passive Optical Networks (PONs). On a metro scale, however, it is unclear to which extent CoMP is feasible.For a metro-wide cellular network deployment, we propose different backhaul network architectures and analyze their capability of fulfilling CoMP requirements. The analysis shows a trade-off between the ability of reusing existing metro network infrastructure and the area that can be covered using CoMP techniques. Based on this, we provide not only an understanding of which architecture approach fits best for a certain scenario, but also point out necessary hardware upgrades required for supporting CoMP in a desired target area.

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Section: Introductionmentioning

confidence: 99%

Designing optical metro and access networks for future cooperative cellular systems

Biermann

Scalia

Karl

2011

Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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“…To overcome these constraints, base station cooperation (BSC) is considered as a promising technique, where a cluster of physically separated BSs is capable of working as a single virtual BS having a number of antennas. In [1][2][3], the application of the BSC technique in a long-term evolution (LTE) system was investigated.…”

Section: Introductionmentioning

confidence: 99%

Selective cooperative decoding based on a hard‐decision‐aided log‐likelihood ratio approximation

Baek

Lee

2015

IET Communications

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This study presents novel strategies to improve the decoding performance through base-station cooperation. In the proposed schemes, the soft output of the demapper at a serving base station (SBS) is replaced by a combination of log-likelihood ratio information, which is generated through demodulation by neighbouring base stations (NBSs) as well as the SBS. For the information used in the cooperation, soft information is first considered. Combining the soft information transmitted from all NBSs provides close-to-optimal performance, but it still requires a high amount of overhead to be passed over the backhaul links. In the proposed schemes, the SBS only cooperates with the reliable NBSs, which are identified on the basis of the magnitude of the metrics transmitted from the NBSs, to achieve a tradeoff between performance and overhead. In addition, the use of hard information instead of soft information is also proposed to further reduce the backhaul overhead. In this scheme, the metric values as well as the hard information are exploited to generate the updated soft information for the channel decoder. In the simulation results, it is shown that the proposed schemes provide better error performance compared with the conventional schemes under limited backhaul capacities.

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“…There are three main types of CoMP [2], coordinated scheduling/beamforming (CS/CB), dynamic point selection (DPS) and joint transmission (JT). In CS/CB, the global scheduler jointly schedules users to minimize the level of interference within the network.…”

Section: Introductionmentioning

confidence: 99%

Layer arrangement for single-user coordinated multi-point transmission

Schober

Wichman

Roman³

2012

2012 46th Annual Conference on Information Sciences and Systems (CISS)

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Coordinated multi point transmission is an attrac tive technology to minimize interference in single frequency networks and such to improve data rates. In this paper, we study closed-loop single user joint transmission (JT- MIMO) system. We propose to feedback a layer arrangement matrix together with per transmission point channel state information (CSI). In case of two layers, we provide a simple method to find an optimal layer arrangement. Furthermore, we propose a low complexity algorithm when an exhaustive search over the different layer arrangements becomes unbearable. System level simulation results show that the flexible layer arrangement outperforms traditional rank adaptation with only small amount of additional feedback. Demand for increased system throughputs forces the evolv ing communication systems like 3GPP LTE to search for new technologies. Coordinated multi-point transmission (CoMP) is a promising technology currently studied in LTE-Advanced [I]. This technique decreases the interference level in single frequency networks by coordinating the transmission from multiple transmission points. The CoMP technology became possible with the introduction of remote radio heads (RRH). Connecting RRH and macro base station with optical fibre allows large amount of data to be exchanged with low latency as well as precise time synchronization.There are three main types of CoMP [2], coordinated scheduling/beamforming (CS/CB), dynamic point selection (DPS) and joint transmission (JT). In CS/CB, the global scheduler jointly schedules users to minimize the level of interference within the network. In DPS, the transmission point is selected out of cooperation set dynamically based on channel quality feedback. In JT, user is served with at least two transmission points at the same time and frequency resource so that the interference is converted into the useful signal.In this paper we concentrate on JT CoMPo The JT CoMP together with multi-user MIMO (MU-MIMO) [3] brings gain compared to single-cell MU- MIMO [4]. With zero-forcing pre coding [5], several users are served by multiple transmis sion points, typically having a low amount of layers. Un fortunately, the JT-MU-MIMO zero-forcing precoding would require power-pooling between transmission points, which is in practice not possible, because the transmission points are limited by the maximum power they can radiate into the free space. Therefore, the power saved at one transmission point cannot be used in the other transmission point. On the other hand, multi-point transmission increases the rank of the composite channel and such increases the number of layers that can be supported by a single user, making JT-SU-MIMO a throughput improving technique [6].When transmitting several layers from multiple transmission points in JT-SU-MIMO closed-loop system, there are two options for feeding back the limited CSI. The first option, used in [6], is to feedback CSI of the composite channel. However, this is impractical as the number of antennas in each transmission poi...

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Cooperative communication technologies for LTE-advanced

Cited by 25 publications

References 8 publications

Designing optical metro and access networks for future cooperative cellular systems

Designing optical metro and access networks for future cooperative cellular systems

Selective cooperative decoding based on a hard‐decision‐aided log‐likelihood ratio approximation

Layer arrangement for single-user coordinated multi-point transmission

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