Maximum ratio transmission

Lo, T.

doi:10.1109/icc.1999.765552

Cited by 262 publications

(303 citation statements)

References 4 publications

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“…As a form of SU-MISO transmission, the Cooperative Joint Transmission (CJT) uses the Maximum Ratio Transmission (MRT) precoding technique, the receiving signal by a user k is given by [13]:…”

Section: B Su-miso Using Joint Transmissionmentioning

confidence: 99%

Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization

Dutkiewicz

Fang

et al. 2014

Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity

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A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Network (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate using the emerging Licensed Shared Access (LSA) on the downlink cell edge in a Network Virtualization context. We derive a threshold of the LSA bandwidth ratio for the average capacity and analyze the average capacity gain. This provides a guide in the decision making for using LSA bandwidth in DAS with Network Virtualization.

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Section: B Su-miso Using Joint Transmissionmentioning

confidence: 99%

Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization

Dutkiewicz

Fang

et al. 2014

Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity

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“…When compared to reference example 3, the proposed method does not need to schedule radio resources for the DUEs to mitigate interference. For the retransmission of the interference signal, the maximum ratio transmission (MRT) [84] scheme is used. It means, in the i+1 period, the receiving DUE obtains an interference signal of the i-th UL period from the eNB together with UL interference in the i+1 period from the CUE and with data signal from the i+1 UL period from the transmitting DUE (see Fig.…”

Section: B Mitigation Of Interference From Cellular To D2d Communicamentioning

confidence: 99%

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

Mach

Bečvář

Vaněk

2015

IEEE Commun. Surv. Tutorials

294

135

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Direct communication between two or more devices without the intervention of a base station, known as device-todevice (D2D) communication, is a promising way to improve performance of cellular networks in terms of spectral and energy efficiency. The D2D communication paradigm has been largely exploited in non-cellular technologies such as Bluetooth or Wi-Fi but it has not yet been fully incorporated into existing cellular networks. In this regard, a new proposal focusing on the integration of D2D communication into LTE-A has been recently approved by the 3GPP standardization community as discussed in this paper. In cellular networks, D2D communication introduces several critical issues, such as interference management and decisions on whether devices should communicate directly or not. In this survey, we provide a thorough overview of the state of the art focusing on D2D communication, especially within 3GPP LTE/LTE-A. First, we provide in-depth classification of papers looking at D2D from several perspectives. Then, papers addressing all major problems and areas related to D2D are presented and approaches proposed in the papers are compared according to selected criteria. On the basis of the surveyed papers, we highlight areas not satisfactorily addressed so far and outline major challenges for future work regarding efficient integration of D2D in cellular networks.Index Terms-D2D communication, D2D mode selection, interference management, D2D energy efficiency, advanced topology for D2D1553-877X (c) Fig. 2. Classification of D2D communication in cellular networks.tion underlying LTE-A network and shown how the D2D communication can be established within a system architecture evolution (SAE). The study introduces an exchange of messages to support the D2D functionality within the SAE and contemplates the possible limits of the D2D concerning interference issues both in the downlink (DL) and the uplink (UL) transmission directions. The paper also presents feasibility analysis evaluating performance of network with enabled D2D communication. Functional prospects of the D2D communication and its implementation into LTE-A system are tackled in [29]. The paper describes new features necessary to be added into the SAE architecture in order to support the D2D communication: radio identification and bearer setup, means to exchange the information over a D2D connection and interference management, link adaptation, timing, and mobility issues. Design aspects of network assisted D2D communication is addressed in [30]. The paper firstly provides a brief overview on technical challenges posed by enabling of D2D concept in cellular networks and provides the solutions for individual challenges.An option of architectural modification in LTE-A networks for D2D is also proposed in [31]. The authors introduce new network entity, called a D2D server (in Fig. 1, this server is not depicted to keep clarity of the figure), and necessary interfaces to connect it to the existing LTE-A architecture. The D2D server is located within the E...

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“…To mitigate fading many communication systems make use of space diversity [1,2,3]. Whereas initial publications in this area dealt mainly with a single antenna at the transmitter and multiple antennas at the receiver (e.g., [4,Chapter 9] and references therein), applications in more recent years have become increasingly sophisticated thereby relying on the more general multiple-input-multiple-output (MIMO) antenna systems [5,6,7] which promise significant increases in system performance and capacity. In this context, Tse et al [6] recently derived the joint maximal ratio combining (MRC) weights at both mobile unit and base station over fading channels and the performance of the resulting MIMO MRC system was analyzed in a Rayleigh fading environment by Dighe et al [7].…”

Section: Introductionmentioning

confidence: 99%

“…The next section gives some new results on the distribution of the largest eigenvalue of non-central complex Wishart matrices. Section III briefly reviews the derivation of the MIMO MRC combining scheme proposed and studied over Rayleigh fading channels in [5,7], establishes the connection between this MIMO MRC system output signal-to-noise ratio (SNR) and the quadratic form in complex Gaussian matrices studied in Section II, and then presents some new closed-form expressions for the output SNR probability density function (PDF), the MIMO system outage probability, and the capacity outage. These expressions are obtained in terms of generalized hypergeometric functions, generalized Marcum Q-functions, modified Bessel functions, or * This work was supported in part by the National Science Foundation Grant…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of MIMO MRC systems over Rician fading channels

Kang¹,

Alouini²

Proceedings IEEE 56th Vehicular Technology Conference

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This paper extends the Khatri distribution of the largest eigenvalue of central complex Wishart matrices to the non-central case. It then applies the resulting new statistical results to obtain closed-form expressions for the outage probability and the channel capacity complementary cumulative distribution funtion (CCDF) of multiple-input-multiple-output (MIMO) systems employing maximal ratio combining (MRC) and operating over Rician fading channels. When applicable these expressions are compared to special cases previously reported in the literature dealing with the outage probability of (i) MIMO systems over Rayleigh fading channels and (ii) single-input-multipleoutput (SIMO) systems over Rician fading channels. As a double check these analytical results are validated by Monte-Carlo simulations and as an illustration of the mathematical formalism some numerical examples for particular cases of interests are plotted and discussed. These results show that, given a fixed number of total antenna elements (i) SIMO systems are equivalent to multiple-input-single-output (MISO) systems and (ii) it is preferable to distribute the number of antenna elements evenly between the transmitter and the receiver for a minimum outage probability performance.

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Maximum ratio transmission

Cited by 262 publications

References 4 publications

Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization

Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

Performance analysis of MIMO MRC systems over Rician fading channels

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