Effective CSI Signaling and Decentralized Beam Coordination in TDD Multi-Cell MIMO Systems

Komulainen, Petri; Tölli, Antti; Juntti, Markku

doi:10.1109/tsp.2013.2247597

Cited by 85 publications

(156 citation statements)

References 32 publications

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“…As a result, an iterative algorithm called WSR-WMMSE was proposed, which is based on the alternating optimization technique [26] and solves the quite hard WSR maximization problem indirectly by solving the easier WMMSE minimization problem. This later relation has inspired many extensions, such as to the multicell MIMO-IC [21] and to the multicell MIMO-BC [22]- [25].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, CBF has gained a lot of attention and has been extensively studied in the literature with different optimization criteria. For example, in [9]- [11] for sum-power minimization, in [12] for Signal-toInterference-plus-Noise Ratio (SINR) balancing, in [13] for sum Mean-Square Error (MSE) minimization, and in [14]- [25] for Weighted Sum-Rate (WSR) maximization.…”

Section: Introductionmentioning

confidence: 99%

“…Different from [18], we consider multi-antenna users and the transmit beamforming matrices are obtained directly by investigating the KKT conditions of the problem. The main ingredient is given by Lemma 1, which makes it possible to solve the transmit beamforming directly from the problem cost function, in contrast to the WSR-WMMSE from [20]- [25]. Through computer simulations, it is shown that the proposed algorithm can achieve a comparable sum rate performance to WSR-WMMSE, while using fewer iterations.…”

Section: Introductionmentioning

confidence: 99%

“…Here, we assume that each BS can acquire the local Channel State Information (CSI) between itself and all the MSs in the system, as in [20]- [25]. An effective technique for obtaining this CSI is the Time Division Duplex (TDD) operation, where uplink training in conjunction with reciprocity simultaneously provides the BSs with downlink and uplink channel estimates [27].…”

Section: Introductionmentioning

confidence: 99%

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Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Ardah¹,

Silva²,

Cavalcanti³

2017

JCIS

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Abstract-This paper studies linear transceiver design in multicell MIMO Broadcast Channels (BCs). In this context, previous works have tried to enhance the conventional Block Diagonalization (cBD) algorithm, such as the proposal of iterative BD (iBD), which has less dimensionality restrictions and accounts for the presence of inter-cell interference (ICI). However, both approaches become interference-limited when the ICI has strong power. In this paper, we take a different direction by using the Weighted Sum-Rate (WSR) as the transceiver design criterion. For that, three different novel algorithms are proposed in this paper, which are based on the alternating optimization technique and guaranteed to converge to a local WSR-optimum. The first algorithm is an interference pricing approach, where each cell maximizes its own utility, which is formed by the local users' WSR minus the priced ICI leakage. The second algorithm designs transceivers that maximize the network-wide WSR. Interestingly, we prove that the WSR maximization via interference pricing can be made equivalent to the network-wide WSR maximization, whenever the mobile stations are equipped with single-antennas. The third algorithm is an implicit interference pricing approach, where each cell self-prices its ICI leakage and, thus, does not require the feedback of variables from other cells. To facilitate the algorithms' implementation, a novel Over-the-Air (OTA) signaling scheme based on Time Division Duplex (TDD) mode is proposed, which reduces the signaling overhead and requires no backhaul feedback, as compared to existing schemes.Index Terms-MIMO systems, block diagonalization, weighted sum rate maximization, interference-pricing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Decentralized Linear Transceiver Design in Multicell MIMO Broadcast Channels

Ardah¹,

Silva²,

Cavalcanti³

2017

JCIS

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“…The asymmetric traffic in frequency division duplex (FDD) system requires extra system bandwidth, whereas time division duplex (TDD) can fit it into any single spectrum by allocating uplink and downlink time slots according to the traffic condition [14], [15]. In TDD system, the CU estimates CSI from the uplink pilot sent by the users at uplink time slot and then uses it via channel reciprocals to generate transmit precoding matrix for downlink transmission at the downlink time slot [16].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Transmission Strategy over Users' Mobility for Downlink Distributed Antenna Systems

Khadka

Adachi

Sun

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Previously, a scheme in [1] is proposed for the outdated channel state information (CSI) problem, for data transmission in time division duplex (TDD) systems. In user movement environment, the actual channel of data transmission at downlink time slot is different from the estimated channel due to channel variation. In this paper the effect of different user mobility on TDD downlink multiuser distributed antenna system is investigated. An efficient autocorrelation based feedback interval technique is proposed and updates CSI at less cost of the downlink time slots. In the proposed technique, the frequency of CSI feedback for different users is proportional to their speed. Cooperative clusters are formed to maximize sum rate where channel gain based antenna selection and user clustering based on SINR threshold is applied to reduce computational complexity. Numerical results show that sum rate superiority of the proposed scheme over the user mobility.

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