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32
Network mimo with linear zero-forcing beamforming: Large system analysis, impact of channel estimation, and reduced-complexity scheduling,” Information Theory
- IEEE Transactions on
, 2012
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Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks
, 2012
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Multiuser MISO transmitter optimization for intercell interference mitigation
- IEEE Trans. Signal Process
, 2010
"... The transmitter optimization (i.e., steering vectors and power allocation) for a MISO Broadcast Channel (MISO-BC) subject to general linear constraints is considered. Such constraints include, as special cases, the sum power, the per-antenna or per-group-of-antennas power, and “forbidden interferenc ..."
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Cited by 18 (3 self)
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The transmitter optimization (i.e., steering vectors and power allocation) for a MISO Broadcast Channel (MISO-BC) subject to general linear constraints is considered. Such constraints include, as special cases, the sum power, the per-antenna or per-group-of-antennas power, and “forbidden interference direction ” constraints. We consider both the optimal dirty-paper coding and the simple suboptimal linear zero-forcing beamforming strategies, and provide numerically efficient algorithms that solve the problem in its most general form. As an application, we consider a multi-cell scenario with partial cell cooperation, where each cell optimizes its precoder by taking into account interference constraints on specific users in adjacent cells. The effectiveness of the proposed methods is evaluated in a simple system scenario including two adjacent cells, under different fairness criteria that emphasize the bottleneck role of users near the cell “boundary”. Our results show that “active ” Inter-Cell Interference (ICI) mitigation outperforms the conventional “static ” ICI mitigation based on fractional frequency reuse. Index Terms MISO broadcast channel, convex optimization, dirty paper coding, zero forcing beamforming, multi-cell scheduling, inter-cell interference mitigation.
CoMP meets energy harvesting: a new communication and energy cooperation paradigm,” submitted to
- IEEE Global Communications Conference (Globecom), 2013, available at http://arXiv/abs/1303.2870
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Hermitian precoding for distributed MIMO systems with individual channel state information
"... Abstract—In this paper, we consider a distributed MIMO communication network in which multiple transmitters cooperatively send common messages to a single receiver. In this scenario, it is usually costly to acquire full channel state information at the transmitters (CSIT), i.e., every transmitter pe ..."
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Cited by 6 (2 self)
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Abstract—In this paper, we consider a distributed MIMO communication network in which multiple transmitters cooperatively send common messages to a single receiver. In this scenario, it is usually costly to acquire full channel state information at the transmitters (CSIT), i.e., every transmitter perfectly knows the overall channel state information (CSI) of the network. Hence, we assume individual CSIT (I-CSIT), i.e., each transmitter only knows its own CSI. We propose a novel precoding technique, named Hermitian precoding, to enhance the system performance under the constraint of I-CSIT. We show that the proposed scheme can perform close to the system capacity with full CSIT. This reveals that the amount of CSI required at the transmitters can be significantly reduced without considerably compromising performance. I.
Decomposition by successive convex approximation: A unifying approach for linear transceiver design in heterogeneous networks
, 2014
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Coordinated Multicast Beamforming in Multicell Networks
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, ACCEPTED FOR PUBLICATION
, 2012
"... We study physical layer multicasting in multicell networks where each base station, equipped with multiple antennas, transmits a common message using a single beamformer to multiple users in the same cell. We investigate two coordinated beamforming designs: the quality-of-service (QoS) beamforming ..."
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Cited by 5 (2 self)
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We study physical layer multicasting in multicell networks where each base station, equipped with multiple antennas, transmits a common message using a single beamformer to multiple users in the same cell. We investigate two coordinated beamforming designs: the quality-of-service (QoS) beamforming and the max-min SINR (signal-to-interference-plus-noise ratio) beamforming. The goal of the QoS beamforming is to minimize the total power consumption while guaranteeing that received SINR at each user is above a predetermined threshold. We present a necessary condition for the optimization problem to be feasible. Then, based on the decomposition theory, we propose a novel decentralized algorithm to implement the coordinated beamforming with limited information sharing among different base stations. The algorithm is guaranteed to converge and in most cases it converges to the optimal solution. The max-min SINR (MMS) beamforming is to maximize the minimum received SINR among all users under per-base station power constraints. We show that the MMS problem and a weighted peak-power minimization (WPPM) problem are inverse problems. Based on this inversion relationship, we then propose an efficient algorithm to solve the MMS problem in an approximate manner. Simulation results demonstrate significant advantages of the proposed multicast beamforming algorithms over conventional multicasting schemes.
Energy efficient power control for distributed transmitters with ZF-based multiuser MIMO precoding,” accepted
- IEEE Commun. Lett
, 2013
"... Abstract—Distributed transmitter (D-TX) system with multiple distributed TXs is considered. To support multiple users, the D-TX system employs a zero-forcing based multiuser multiple-input multiple-output precoding. An energy efficiency (EE) maximiza-tion problem is formulated under constraints on p ..."
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Cited by 4 (4 self)
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Abstract—Distributed transmitter (D-TX) system with multiple distributed TXs is considered. To support multiple users, the D-TX system employs a zero-forcing based multiuser multiple-input multiple-output precoding. An energy efficiency (EE) maximiza-tion problem is formulated under constraints on per-user data rate and per-antenna instantaneous transmit power. The latter constraint is to avoid severe distortion of transmit signals at a power amplifier, i.e., the clipping effects. A low-complexity and performance-effective power control method is then proposed by solving the modification of the original, intractable optimization problem. Transmit antenna selection is elucidated with respect to the EE. Numerical results verify the efficacy of D-TX system employing the proposed EE-aware power control and antenna selection with respect to both system EE and outage performance, and also impart the importance of equal power output capability, i.e., equal maximum output power of the distributed TXs, for energy efficient D-TX systems. Index Terms—Energy efficiency, power control, distributed transmitters, power output capability, multiuser MIMO. I.
Optimal multiuser zero-forcing with per-antenna power constraints for network MIMO coordination
- EURASIP J. Wireless Commun. Networking, 2011, Article ID
, 1904
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