Distributed Beamforming Coordination in Multicell MIMO Channels

Zakhour, Randa; Ho, Zuleita; Gesbert, David

doi:10.1109/vetecs.2009.5073500

Cited by 69 publications

(50 citation statements)

References 7 publications

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“…In this realm, [106] used an approach based on the first-order condition of the optimization problem, and [107] used a rate profile approach to reach the boundary points of the rate region. In addition, much work has also been done to identify solutions from a competitive (e.g., [108]) or egotistic vs. altruistic points of view [109], [93], [110].…”

Section: ) Coordinated Power Controlmentioning

confidence: 99%

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

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

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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: ) Coordinated Power Controlmentioning

confidence: 99%

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

Gesbert

Hanly

Huang³

et al. 2010

IEEE J. Select. Areas Commun.

Self Cite

1,612

1,228

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show abstract

“…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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“…In our case, there are 7 clusters. In each cellular, the user receives the signal from its function node but is also influenced by the other six nodes which work on the same frequency [4]- [6].…”

Section: System Modelmentioning

confidence: 99%