Capacity Scaling of Multi-User MIMO with Limited Feedback in a Multi-Cell Environment

Thiele, Lars; Jungnickel, Volker; Schellmann, Malte; Zirwas, Wolfgang

doi:10.1109/acssc.2007.4487172

Cited by 45 publications

(26 citation statements)

References 15 publications

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“…The fundamental capacity gain in the MIMO radio link, being proportional to the minimum of the number of transmit and receive antennas, is well understood for an isolated point-to-point link [1]. Recently, it was shown that this capacity scaling law also holds for the interference limited case of a multi-cellular radio system [2] However, since inter-cell interference (ICI) is still the dominant source of performance degradation in the cellular network, removing it will lead to a great performance gain.…”

Section: Introductionmentioning

confidence: 95%

Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition

Hadisusanto¹,

Thiele²,

Jungnickel³

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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Abstract-It has been recently shown that base station cooperation may yield great capacity improvement in downlink multiple antenna cellular networks. However, the proposed solutions assume that there is a central processing unit which coordinates the information exchange and determines the optimal resource allocation of the overall cellular network. Whilst the benefits of base station cooperation are large, computational burden of the central unit can be significant. Thus distributed solutions are desirable. This paper suggests a distributed solution for base station cooperation via block-diagonalization and dual-decomposition to maximize the weighted sum network capacity under per-antenna power constraint. The block-diagonalization pre-coding matrix is determined separately at each base station. It enables the full potential of base station cooperation by determining a trade-off between inter-cell interference mitigation, spatial multiplexing and macro diversity. The power allocation problem is formulated as a network utility maximization (NUM) problem. By looking at its Lagrangian dual problem, the decomposable structure of the optimization problem is revealed. This leads to a distributed and iterative algorithm that converges to the global optimum. The advantage of macro diversity in addition to inter-cell interference mitigation and spatial multiplexing in base station cooperation context is studied and shows superior performance in terms of a higher capacity increase with lower variance.

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Section: Introductionmentioning

confidence: 95%

Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition

Hadisusanto¹,

Thiele²,

Jungnickel³

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

Self Cite

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show abstract

“…The employed scheduler ensures a fair resource management for all MTs in the system. In fact, frequency-selective scheduling would increase the system throughput further [2], but also increases the complexity of the system. The basic system settings for simulations are summarized in Table I.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The MTs are always served by the BS whose signal is received with highest average power over the entire frequency band and in each independent channel realization. For capacity evaluation only MTs being placed inside of the center cell will be considered, so that BS signals transmitted from 1st and 2nd tier model the inter-cell interference [2]. For simplicity, we employ the time-division multiple access (TDMA) round-robin scheduler for all MTs in the inner cell.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…For equalization, the interference-aware minimum mean square error (MMSE) receiver (5) for single-stream transmission [1], [2] is used and its achievable spectral efficiency is evaluated in a downlink OFDMA multi-cellular simulation environment. …”

Section: System Modelmentioning

confidence: 99%

“…Multi-antenna terminals enable interference suppression at the receiver side and thus the radio system may profit from a higher spectral efficiency. Simple receiver-based schemes like optimal interference rejection combining [1] are known to significantly increase the system's spectral efficiency [2]. However, its applicability in MIMO-OFDMA systems is not fully evident yet, since it is highly sensitive to channel estimation errors.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the value of synchronous downlink MIMO-OFDMA systems with linear equalizers

Thiele

Schellmann

Wirth

et al. 2008

2008 IEEE International Symposium on Wireless Communication Systems

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Abstract-Cellular radio systems are often limited due to the presence of cochannel interference. Basically, radio systems may be operated by utilizing asynchronous or synchronous downlink transmission from all base stations in the system, where synchronization between terminals and their serving base station is mandatory in both concepts. We provide a comparison between the theoretical achievable spectral efficiency in an orthogonal frequency division multiple access systems using different linear equalizers and their resulting performance taking estimation errors into account. It is shown, that the choice of the appropriate receiver depends on the degree of synchronization in the system. We demonstrate that a 3G Long Term Evolution radio system may achieve higher spectral efficiency thanks to interference suppression if fully synchronized data transmission from all base stations is introduced.

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Advanced Antennas Concept for 4G

Osseiran

2009

Radio Technologies and Concepts for IMT‐Advanced

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Capacity Scaling of Multi-User MIMO with Limited Feedback in a Multi-Cell Environment

Cited by 45 publications

References 15 publications

Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition

Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition

On the value of synchronous downlink MIMO-OFDMA systems with linear equalizers

Advanced Antennas Concept for 4G

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