Joint Scheduling and Power Control in Coordinated Multi-Point Clusters

Li, Jingya; Svensson, Tommy; Botella, Carmen; Eriksson, Thomas; Xu, Xiaodong; Chen, Xin

doi:10.1109/vetecf.2011.6092837

Cited by 25 publications

(35 citation statements)

References 11 publications

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“…The problem of this approach is the difficulty of grouping users sharing the same subcluster, which results in a small penetration rate, as it has been pointed out in [49]. This effect is avoided by using the definition of the cooperation area as proposed in this paper, which, in contrast to [46], also takes into account the randomness of the channel. Note that when more than one cluster are considered, advanced solutions such as the proposed in [1] will be needed to deal with the intercluster interference.…”

Section: Definition Of the Cooperation Area Based On The Maximum Delamentioning

confidence: 99%

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Multi-user interference mitigation under limited feedback requirements for WCDMA systems with base station cooperation

2015

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One of the techniques that has been recently identified for dealing with multi-user interference in future communications systems is base station cooperation or joint processing. However, perfect multi-user interference cancellation with this technique demands severe synchronization requirements, perfect and global channel state information, and an increased backhaul and signaling overhead. In this paper, we consider a more realistic layout with the aim of mitigating the multi-user interference, where only local channel state information is available at the base stations. Due to synchronization inaccuracies and errors in the channel estimation, the system becomes partially asynchronous. In the downlink of WCDMA based systems, this asynchronism stands for the loss of the orthogonality of the spreading codes allocated to users and thus, for an increase in the multi-user interference level of the system. In this contribution, we propose a framework for mitigating the multi-user interference which builds in three main steps: definition of a cooperation area based on the channel characteristics, statistical modeling of the average multi-user interference power experienced by each user and a specific spreading code allocation scheme for users served with joint processing. This code allocation assigns spreading codes to users in such a way that minimum average cross-correlation between active users can be achieved. Interestingly, these steps can be

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Section: Definition Of the Cooperation Area Based On The Maximum Delamentioning

confidence: 99%

“…Other cooperation area definitions can be found for example in [46], where a pathloss-based cooperation area is proposed. Opposite to network-centric, we find the user-centric clustering or subclustering techniques, as for example in [38,47,48].…”

Section: Definition Of the Cooperation Area Based On The Maximum Delamentioning

confidence: 99%

Multi-user interference mitigation under limited feedback requirements for WCDMA systems with base station cooperation

2015

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“…Thus, a utility-based centralized joint resource allocation algorithm is proposed in this section for the OFDMA CoMP system. In order to further reduce the computational complexity, inspired by the GUS [12,13] based scheme, a low-complexity distributed algorithm is also proposed for practical implementation.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…A centralized joint resource allocation algorithm is proposed by decoupling the optimization problem into per-subchannel sum utility maximizing problems. For practical implementation, a low-complexity distributed algorithm is also proposed based on the idea of greedy user selection (GUS) [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Utility-Based Joint Resource Allocation Approach for Multi-Service in CoMP Networks

Huang

Svensson

2013

Wireless Pers Commun

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Coordinated multi-point (CoMP) joint transmission is considered as a key technique to mitigate inter-cell interference and improve the cell-edge performance in 3GPP LTE-Advanced. In this paper, a utility-based joint resource allocation approach is proposed to support CoMP joint transmission in orthogonal frequency division multiple access systems. Two different utility functions are considered with diverse quality of service provisioning. The objective is to maximize the sum utility of a clustered CoMP network, considering mixed real-time voice over IP (VoIP) and best-effort (BE) traffic patterns. A centralized joint resource allocation algorithm is proposed by decoupling the optimization problem into per-subchannel subproblems. Further more, a greedy user selection based low-complexity algorithm is proposed for practical implementation. For the sake of performance comparison, the proportional-fair based joint scheduling, as well as two non-coordinated scheduling schemes are also evaluated. Via system-level simulation we show that the proposed algorithms not only substantially improve the cell-edge spectrum efficiency of BE users, but also significantly decrease the packet drop ratio and call outage ratio of VoIP users.

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“…Previous studies about resource allocation in network MIMO OFDMA systems have mainly focused on the global network MIMO case [18][19][20], or on the single cluster case without considering inter-cluster interference [21][22][23]. Recently, research has shifted towards the limited coordination case with different cluster formation models, that is, resource allocation with dynamic clustering [24,25] or resource allocation with static clustering [14].…”

Section: Introductionmentioning

confidence: 99%

Resource allocation for clustered network MIMO OFDMA systems

Botella

Svensson

2012

J Wireless Com Network

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In this article, we address the resource allocation problem for the downlink of a large network multiple input multiple output orthogonal frequency division multiplexing system with 3-sector base stations. The system is statically divided into a number of disjoint clusters of sectors. A two-step resource allocation scheme is proposed involving the inter-cluster and the intra-cluster levels. As a first step or inter-cluster level, two cooperative frequency reuse approaches are designed to mitigate the inter-cluster interference. A user partition method is proposed to divide the users of each cluster into cluster-edge and cluster-center users. To balance the cell-edge and the cellaverage performance, a fairness jug function is introduced to determine the frequency partition of the cooperative frequency reuse approaches. Then, as a second step or intra-cluster level, a utility-based joint scheduling and power allocation algorithm is proposed for each cluster, to maximize the sum utility of all users in the cluster under per-sector power constraints. Zero-forcing joint transmission is used across multiple sectors within the same cluster. Simulation results show that the proposed scheme can efficiently reduce the inter-cluster interference and provide considerable performance improvement in terms of both the cell-edge and cell-average user data rate. The proposed two-step resource allocation scheme can be implemented independently in each cluster without inter-cluster information exchange, which is an attractive property for practical systems, since it reduces both the network signaling overhead and the computational complexity.

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Joint Scheduling and Power Control in Coordinated Multi-Point Clusters

Cited by 25 publications

References 11 publications

Multi-user interference mitigation under limited feedback requirements for WCDMA systems with base station cooperation

Multi-user interference mitigation under limited feedback requirements for WCDMA systems with base station cooperation

A Utility-Based Joint Resource Allocation Approach for Multi-Service in CoMP Networks

Resource allocation for clustered network MIMO OFDMA systems

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