On the impact of signaling delays on the performance of centralized scheduling for joint detection cooperative cellular systems

Diehm, Fabian; Fettweis, Gerhard

doi:10.1109/wcnc.2011.5779423

Cited by 13 publications

(13 citation statements)

References 10 publications

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“…Instead, we assume that the mobile terminals can always transmit at the maximum achievable rate of the current channel. In [6], we referred to this case as optimal HARQ. Here, we change the nomenclature to w/o rate allocation (RA) to ease understanding.…”

Section: System Modelmentioning

confidence: 99%

“…introduced a metric based on the sum rate of the expected SINR in [6], which we now extend to the three user case.…”

Section: Joint Scheduling Based On Channel Statisticsmentioning

confidence: 99%

“…In [6], we first introduced our framework for analyizing delay effects and compared centralized and decentralized scheduling strategies for cooperation clusters with two base stations. In this contribution, we focus on centralized scheduling and extend our framework for the analysis of bigger clusters with three base stations.…”

Section: Introductionmentioning

confidence: 99%

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Centralized Scheduling for Joint Decoding Cooperative Networks Subject to Signalling Delays

Diehm

Fettweis

2011

2011 IEEE Vehicular Technology Conference (VTC Fall)

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Joint detection in the uplink of a cellular network involving several non-colocated base stations is a promising means to turn inter-cell interference into useful signal energy and hence dramatically increase spectral efficiency of reuse one networks. To maximize the benefits of the new degrees of freedom that come with base station cooperation, cluster centric schedulers need to be aware of the interference situation in all participating cells. Since the required exchange of information on the backhaul infrastructure can be subject to significant delays, scheduling decisions are potentially based on outdated channel state information and will thus lead to suboptimal system performance. In this contribution we extend our framework for studying the impact of these signaling delays on the system performance by allowing bigger cooperation clusters. By comparing new algorithms and introducing the possibility of channel prediction, we provide further insight into the system behavior.

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Section: System Modelmentioning

confidence: 99%

“…introduced a metric based on the sum rate of the expected SINR in [6], which we now extend to the three user case.…”

Section: Joint Scheduling Based On Channel Statisticsmentioning

confidence: 99%

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Centralized Scheduling for Joint Decoding Cooperative Networks Subject to Signalling Delays

Diehm

Fettweis

2011

2011 IEEE Vehicular Technology Conference (VTC Fall)

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“…For example, in LTE-Advanced, the standard interface for inter-BS communication, X2, is design to allow a latency of 20ms which is the maximum delay for control plan message, and the typical value for the latency is expected to be 10 ms on average [8]. The effect of signalling delay on the performance of centralized scheduling is investigated in [9]. The system considered is a joint detection cooperating system.…”

Section: Introductionmentioning

confidence: 99%

“…Their results show that, with the increase of user mobility, the system performance degrades due to the inaccuracy of outdated CSI. To address this issue, statistical CSI is used for rate allocation in [9]. Imperfect CSI has significant impacts on the performance of not only CoMP systems, but also wireless networks in general [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal clustering and rate allocation for uplink coordinated multi-point (CoMP) systems with delayed channel state information (CSI)

Cai

Senarath

2013

2013 IEEE International Conference on Communications (ICC)

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Coordinated multi-point (CoMP) is a promising technology in next generation cellular networks to enhance the cell-edge performance under universal frequency reuse. In uplink CoMP, the transmitted signals from user equipments are cooperatively processed by multiple base stations assuming there is perfect channel state information (CSI) shared by those base stations. However, practical systems can only obtain imperfect CSI which suffers from quantization errors and especially delay introduced by channel estimation and signalling over backhaul networks. In this paper, we consider the optimal clustering and rate allocation problem in CoMP systems where the CSI feedback via backhaul is delayed. We model such system in the framework of networked Markov decision process (networked-MDP), which is equivalent to a partial observable Markov decision process (POMDP). We find out an optimal policy for such POMDP, which is computational inexpensive. Extensive simulations show promising performance gain of the proposed scheme over existing scheme which makes the decisions merely based on the current observation.

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A decision theoretic approach for clustering and rate allocation in coordinated multi‐point (CoMP) networks with delayed channel state information

Cai

2014

Trans. Emerging Tel. Tech.

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Coordinated multi-point (CoMP) is a promising technique in next generation cellular networks. Compared with traditional mobile networks, one of the important design problems in CoMP is clustering, which decides how the base stations cooperate with each other. Channel state information (CSI) is needed in clustering decisions in CoMP. Most previous works assume that perfect CSI is available. However, practical systems suffer from constraints imposed by backhaul networks, which are used for CSI exchange. In this paper, we study the clustering and rate allocation problem in CoMP with delayed CSI. We present a decision theoretic approach to this problem. Specifically, we model such a system in the framework of networked Markov decision process (networked-MDP) with delays, which is equivalent to a partial observable Markov decision process (POMDP). We derive an optimal policy for such POMDP with low computation complexity. Simulation results are provided to show promising gain achieved in the proposed scheme over existing schemes especially when the delay is large and the channel coherence time is small.

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On the impact of signaling delays on the performance of centralized scheduling for joint detection cooperative cellular systems

Cited by 13 publications

References 10 publications

Centralized Scheduling for Joint Decoding Cooperative Networks Subject to Signalling Delays

Centralized Scheduling for Joint Decoding Cooperative Networks Subject to Signalling Delays

Optimal clustering and rate allocation for uplink coordinated multi-point (CoMP) systems with delayed channel state information (CSI)

A decision theoretic approach for clustering and rate allocation in coordinated multi‐point (CoMP) networks with delayed channel state information

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