Coordinating Base Stations for Greater Uplink Spectral Efficiency in a Cellular Network

Venkatesan, Sivarama

doi:10.1109/pimrc.2007.4394771

Cited by 127 publications

(85 citation statements)

References 6 publications

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“…모든 기지국들이 다 같이 협력하여 가 장 좋은 성능을 얻을 수 있으나, 과도한 양의 데이 터와 채널 정보가 백홀(backhaul)을 통해 셀 간에 공유되어야 하므로 실제로 사용하기는 쉽지 않으므 로, 적당한 오버헤드로 협력 전송 기법을 사용하기 위해서는 협력하는 기지국들의 개수가 제한되어야한 다 [8,9] . 주어진 셀들을 제한 개수 이내의 여러 그룹 들로 묶는 기법을 셀 그룹핑 기법이라 하며, 기존의 셀 그룹핑 기법은 크게 정적 셀 그룹핑 기법 [10] 과 동적 셀 그룹핑 기법 [11,12] [16][17][18] . 최대 수신 신호 의 세기로 사용자 접속을 수행하는 기법 [16,17] 이 …”

Section: ⅰ 서 론 최근의 셀룰러 시스템에서는 면적당 전송 효율을 증가시키기 위한 방법 중의 하나로 기존의 매크로unclassified

Joint Cell Grouping and User Association Scheme for Clustered Heterogeneous Cellular Networks

Park¹,

Lee²,

Choi³

et al. 2013

The Journal of Korea Information and Communications Society

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In this paper, a joint cell grouping and user association technique proposed for a semi-dynamic grouped network MIMO in a clustered heterogeneous cellular network (HCN). With the conventional macro BSs, small cells are being overlaid to increase a spectral efficiency per area and these small cells are expected to be concentrated to support exponentially increasing data traffic in hot spot areas. The main culprits of performance degradation in the clustered HCN are interference and load imbalance. The proposed scheme jointly handles them to maximize a proportional-fair metric. It is shown that the proposed technique can largely improve user average rate and proportional fairness among users than any other conventional schemes in the clustered HCN.

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Section: ⅰ 서 론 최근의 셀룰러 시스템에서는 면적당 전송 효율을 증가시키기 위한 방법 중의 하나로 기존의 매크로unclassified

Joint Cell Grouping and User Association Scheme for Clustered Heterogeneous Cellular Networks

Park¹,

Lee²,

Choi³

et al. 2013

The Journal of Korea Information and Communications Society

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“…In this section, a utility-based joint scheduling and power allocation algorithm is proposed for each cluster to solve (12), which is considered as the intra-cluster level or the second step of the proposed resource allocation scheme.…”

Section: Joint Scheduling and Power Allocationmentioning

confidence: 99%

“…The system is typically divided into clusters of cells, and the joint transmission is implemented within the cells included in each cluster. The cluster formation can be static [10][11][12][13][14], or dynamic [15][16][17]. The static cluster formation specifies a predefined set of clusters of cells which do not change in time, whereas the dynamic clustering approaches form the clusters based on the varying channel conditions that users experience to different cells.…”

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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“…Note that clustering solutions that restrict BS cooperation to a limited number of BSs have been proposed in the literature to reduce the complexity in CoMP solutions [25][26][27][28]. In this scenario, the same carrier frequency and the same scrambling code are used in different sectors.…”

Section: Introductionmentioning

confidence: 99%

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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Coordinating Base Stations for Greater Uplink Spectral Efficiency in a Cellular Network

Cited by 127 publications

References 6 publications

Joint Cell Grouping and User Association Scheme for Clustered Heterogeneous Cellular Networks

Joint Cell Grouping and User Association Scheme for Clustered Heterogeneous Cellular Networks

Resource allocation for clustered network MIMO OFDMA systems

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

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