Maximum ratio transmission

Lo, T.

doi:10.1109/26.795811

Cited by 867 publications

(369 citation statements)

References 4 publications

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“…The maximum ratio transmission (MRT) precoding is designed to maximize the signal to noise ratio (SNR) of the received stream for all terminals [12]. It does not however take inter-terminal interference into account.…”

Section: Maximum Ratio Transmissionmentioning

confidence: 99%

A scalable architecture for massive MIMO base stations using distributed processing

Bertilsson

Gustafsson

Larsson

2016

2016 50th Asilomar Conference on Signals, Systems and Computers

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Massive MIMO is an emerging technology for future wireless systems that has received much attention from both academia and industry recently. The most prominent feature of Massive MIMO is that the base station is equiped with a large number of antennas. It is therefore important to create scalable architectures to enable simple deployment in different configurations.In this thesis, a distributed architecture for performing the baseband processing in a massive OFDM MU-MIMO system is proposed and analyzed. The proposed architecture is based on connecting several identical nodes in a K-ary tree. It is shown that, depending on the chosen algorithms, all or most computations can be performed in a distrbuted manner. Also, the computational load of each node does not depend on the number of nodes in the tree (except for some timing issues) which implies simple scalability of the system.It is shown that it should be enough that each node contains one or two complex multipliers and a few complex adders running at a couple of hundres MHz to support specifications similar to LTE. Additionally the nodes must communicate with each other over links with data rates in the order of some Gbps.Finally, a VHDL implementation of the system is proposed. The implementation is parameterized such that a system can be generated from a given specification. Nyckelord KeywordsElektroteknik, ASIC, Massiv MIMO AbstractMassive MIMO is an emerging technology for future wireless systems that has received much attention from both academia and industry recently. The most prominent feature of Massive MIMO is that the base station is equiped with a large number of antennas. It is therefore important to create scalable architectures to enable simple deployment in different configurations.In this thesis, a distributed architecture for performing the baseband processing in a massive OFDM MU-MIMO system is proposed and analyzed. The proposed architecture is based on connecting several identical nodes in a K-ary tree. It is shown that, depending on the chosen algorithms, all or most computations can be performed in a distrbuted manner. Also, the computational load of each node does not depend on the number of nodes in the tree (except for some timing issues) which implies simple scalability of the system.It is shown that it should be enough that each node contains one or two complex multipliers and a few complex adders running at a couple of hundres MHz to support specifications similar to LTE. Additionally the nodes must communicate with each other over links with data rates in the order of some Gbps.Finally, a VHDL implementation of the system is proposed. The implementation is parameterized such that a system can be generated from a given specification.iii

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Section: Maximum Ratio Transmissionmentioning

confidence: 99%

A scalable architecture for massive MIMO base stations using distributed processing

Bertilsson

Gustafsson

Larsson

2016

2016 50th Asilomar Conference on Signals, Systems and Computers

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“…For MRT using n t antennas at the transmitter and only one antenna at the receiver, it can be easily shown that the combined first hop SNR, for the case of identically distributed transmit channels, follows a Gamma distribution, f γ1 (x) = x n t −1 e − x γ 1 nt!γ n t 1 ; x ≥ 0, [13], where n t is the shape parameter andγ 1 is the scale parameter. The CDF of γ 1 can then be determined using F γ1 (x) = x 0 f γ1 (z)dz, and the result is…”

Section: A Case Of Mrt-secmentioning

confidence: 99%

“…This subsection considers the case when the the optimum MRT [13] is used over the first hop and the switching at the receiver is performed using the simple SEC [4] technique.…”

Section: A Case Of Mrt-secmentioning

confidence: 99%

Switched diversity strategies for dual-hop relaying systems

Gaaloul

Radaydeh

Alouini

2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

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Abstract-This paper investigates the effect of different switched diversity configurations on the implementation complexity and achieved performance of dual-hop amplify-and-forward (AF) relaying networks. A low-complexity model of the relay station is adopted, wherein single-input single-output antenna configuration is employed. Each of the transmitter and the receiver however employs multiple antennas to improve the overall link performance. Single-phase and two-phase based receive switching strategies are investigated assuming optimum first hop signal-to-noise ratio (SNR). Moreover, the simple scheme in which the switched diversity is applied independently over the two hops is studied using tight upper bounds. Thorough performance comparisons and switching thresholds optimization for the aforementioned strategies are presented. Simulation results are also provided to validate the mathematical development and to verify the numerical computations.

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“…Together with orthogonal space-time block coding (OSTBC) transmission in [2], maximum ratio transmission (MRT) mentioned in [3] is another prominent space-time processing technique. This technique provides transmit diversity for multiple-input multiple-output (MIMO) systems when the channel state information (CSI) is available at both the transmitter and the receiver.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis for multiple‐input multiple‐output‐maximum ratio transmission systems with channel estimation error, feedback delay and co‐channel interference

Chu¹,

Duong²,

Zepernick³

2013

IET Communications

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In this study, the authors analyse the impact of channel estimation error (CEE), feedback delay (FD), and co-channel interference (CCI) on the performance of multiple-input multiple-output (MIMO) systems deploying maximum ratio transmission (MRT). In particular, the authors derive closed-form expressions for the ergodic capacity and the symbol error rate (SER) as well as the outage probability (OP). In addition, to reveal the effect of CEE, FD and CCI on the MIMO-MRT system, the authors adopt more simplified and tractable formulas in terms of asymptotic expressions for the ergodic capacity, SER and OP. The analysis shows that the system performance is degraded considerably under imperfect transmission conditions such as CEE, FD and CCI. However, the authors can compensate part of this degradation by deploying MRT transmission with a large number of antennas at the transmitter and receiver. Finally, the selected examples exhibit consistency between analytical results and Monte Carlo simulations.

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Maximum ratio transmission

Cited by 867 publications

References 4 publications

A scalable architecture for massive MIMO base stations using distributed processing

A scalable architecture for massive MIMO base stations using distributed processing

Switched diversity strategies for dual-hop relaying systems

Performance analysis for multiple‐input multiple‐output‐maximum ratio transmission systems with channel estimation error, feedback delay and co‐channel interference

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