Coordination in a Multi-Cell Multi-Antenna Multi-User W-CDMA System: A Beamforming Approach

Botella, Carmen; Piñero, Gema; González, Alberto; Diego, María de

doi:10.1109/t-wc.2008.070844

Cited by 27 publications

(38 citation statements)

References 28 publications

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“…3. Many coding strategies have been proposed in the literature for this setting (e.g., [119], [120], [121], [122], [123].) The antennas from all the BSs are in this case effectively pooled together to form a giant antenna array.…”

Section: B Coding Strategies For Mcp Networkmentioning

confidence: 99%

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

1,620

1,228

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Abstract-This paper presents an overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks. In dense networks where interference emerges as the key capacitylimiting factor, multi-cell cooperation can dramatically improve the system performance. Remarkably, such techniques literally exploit inter-cell interference by allowing the user data to be jointly processed by several interfering base stations, thus mimicking the benefits of a large virtual MIMO array. Multicell MIMO cooperation concepts are examined from different perspectives, including an examination of the fundamental information-theoretic limits, a review of the coding and signal processing algorithmic developments, and, going beyond that, consideration of very practical issues related to scalability and system-level integration. A few promising and quite fundamental research avenues are also suggested.

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Section: B Coding Strategies For Mcp Networkmentioning

confidence: 99%

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

1,620

1,228

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“…For example, the joint design of beamforming across multiple cells has been considered in [25], [26], [27], [28], [29], [30], [31], [32], but these studies typically focus on the minimization of transmit power for a fixed set of selected users, instead of the optimization of network utility. Likewise, intercell scheduling has been considered in [33], [34], [35], [36], [37], [38], and intercell power control has been considered in [39], [40], but these studies do not include beamforming.…”

Section: E Related Workmentioning

confidence: 99%

Multicell Coordination via Joint Scheduling, Beamforming, and Power Spectrum Adaptation

Kwon

Shin

2013

IEEE Trans. Wireless Commun.

172

147

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Abstract-The mitigation of intercell interference is a central issue for future generation wireless cellular networks where frequencies are reused aggressively and where hierarchical cellular structures may heavily overlap. The paper examines the benefit of coordinating transmission strategies and resource allocation schemes across multiple cells for interference mitigation. For a multicell network serving multiple users per cell sectors and where both the base-stations and the remote users are equipped with multiple antennas, this paper proposes a joint proportionally fair scheduling, spatial multiplexing, and power spectrum adaptation method that coordinates multiple basestations with an objective of optimizing the overall network utility. The proposed scheme optimizes the user schedule, transmit and receive beamforming vectors, and transmit power spectra jointly, while taking into consideration both the intercell and intracell interference and the fairness among the users. The proposed system is shown to significantly improve the overall network throughput while maintaining fairness as compared to a conventional network with per-cell zero-forcing beamforming and with fixed transmit power spectrum. The proposed system goes toward the vision of a fully coordinated multicell network, whereby transmission strategies and resource allocation schemes (rather than transmit signals) are coordinated across the basestations as a first step. I. OVERVIEW A. IntroductionIntercell interference is a fundamental limiting factor in wireless cellular networks. A promising idea for the mitigation of intercell interference in future cellular networks is the coordination of multiple base-stations. In a fully coordinated multicell system, multiple antennas across multiple basestations can be thought of as forming a large antenna array, where intercell interference can be actively exploited. The realization of such a fully coordinated system, however, also requires high-capacity backhaul communication. As antennas from across multiple base-stations need to jointly transmit and receive signals for multiple mobile users, data streams of multiple users must be shared among multiple base-stations. This paper explores a different type of coordination where user transmission strategies and resource allocation schemes, rather than data signals, are coordinated across the basestations. The coordination of transmission strategies clearly requires much less backhaul communication, and is much easier to implement in a practical deployment. The goal of this paper is to show that by jointly setting the scheduling, power allocation, and beamforming strategies of multiple basestations and multiple mobile users within each cell, intercell interference can already be alleviated, and the overall performance of the network can already be improved significantly as compared to the current generation of wireless networks where cells operate independently.Resource management has been the focus of extensive studies for cellular networks in the past, but tr...

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“…This scheme can be implemented in a distributed manner, decreasing the need of additional infrastructure modifications. In addition to this scheme, a modified version of the joint power control and beamforming algorithm from [38] and [39] is performed by the BSs within the cluster. Finally, another aim of this contribution is to give some insights into the question of until which extent is beneficial to cooperate in a partially asynchronous WCDMA system.…”

Section: Introductionmentioning

confidence: 99%

“…Base station cooperation within the cluster is performed at the physical layer by means of the JPCOB-VUL (Joint Power Control and Beamforming -Virtual UpLink) algorithm of [38] and [39]. This algorithm is an extension of reference [59] for systems with BS cooperation: in a first step, per-BS transmit beamformers w i,k are obtained from a simpler virtual uplink formulation, and in a second step, downlink transmit powers P i,k are jointly updated from a set of linear equations.…”

mentioning

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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Coordination in a Multi-Cell Multi-Antenna Multi-User W-CDMA System: A Beamforming Approach

Cited by 27 publications

References 28 publications

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

Multicell Coordination via Joint Scheduling, Beamforming, and Power Spectrum Adaptation

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

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