MIMO Channel Measurement and Analysis for 4G Mobile Communication

Jeong, Won Ho; Kim, Joo Seock; Jung, Minji; Kim, Kyung-Seok

doi:10.1007/978-3-642-32645-5_85

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…where 2 is the power of LOS component and 2 is the total power of NLOS components [22]. It is assumed that the LOS component is the first arrival of MPCs with the smallest delay.…”

Section: K-factormentioning

confidence: 99%

Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario

Luan

Zhang

Xiao

et al. 2013

International Journal of Antennas and Propagation

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This paper focuses on the fading characteristics of wireless channel on High-Speed Railway (HSR) in hilly terrain scenario. Due to the rapid speed, the fading characteristics of HSR channel are highly correlated with time or Transmit-Receive distance and have their own special property. To investigate the fading characteristics, the measurement is conducted on the Guangzhou-Shenzhen passenger-dedicated line in China with the speed of 295 km/h in the data-collection area at 2.4 GHz. From the measured data, the amplitude of each path is estimated by using the Subspace-Alternating Generalized Expectation-Maximization (SAGE) algorithm along with other parameters of channel impulse responses. Then the fading parameters, including path loss, shadow fading, andK-factor, are analysed. With the numerical results in the measurement and analysis, the fading characteristics have been revealed and modelled. It is supposed that this work has a promotion for HSR communication system design and improvement.

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“…where 2 is the power of LOS component and 2 is the total power of NLOS components [22]. It is assumed that the LOS component is the first arrival of MPCs with the smallest delay.…”

Section: K-factormentioning

confidence: 99%

Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario

Luan

Zhang

Xiao

et al. 2013

International Journal of Antennas and Propagation

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“…2, we initially consider binary phase shift keying (BPSK) employed at the transmitter for both receivers and investigate the effect of channel statistics on the effective capacity region in Rician fading channels with a line-of-sight parameter K, which is the ratio of the power in the line-of-sight component to the total power in the non-line-of-sight components. The empirical values of K are determined to be -6.88 dB, 8.61 dB and 4.97 dB for urban, rural and suburban environments at 781 MHz, respectively [12]. Considering these K values, we obtain results for different signal-to-noise ratio values, i.e., P = 0 and −5 dB.…”

Section: Numerical Resultsmentioning

confidence: 99%

Effective Capacity in Broadcast Channels with Arbitrary Inputs

Hammouda

Akın

Peissig

2016

Lecture Notes in Computer Science

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We consider a broadcast scenario where one transmitter communicates with two receivers under quality-of-service constraints. The transmitter initially employs superposition coding strategies with arbitrarily distributed signals and sends data to both receivers. Regarding the channel state conditions, the receivers perform successive interference cancellation to decode their own data. We express the effective capacity region that provides the maximum allowable sustainable data arrival rate region at the transmitter buffer or buffers. Given an average transmission power limit, we provide a two-step approach to obtain the optimal power allocation policies that maximize the effective capacity region. Then, we characterize the optimal decoding regions at the receivers in the space spanned by the channel fading power values. We finally substantiate our results with numerical presentations.

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“…Let m = [1 + log(f (y))] and dn = ḟ (y|x)dy, then the integration in ( 23) can be evaluated using integration by part such that mdn = mn ndm. By noting that mn = 0 as y → ∞, we can write (23) as…”

Section: B Proof Of Theoremmentioning

confidence: 99%

“…Therefore, the ratio of the power in the line-of-sight component to the total channel power is defined as ν = K K+1 . It is shown in[23] that the empirical means of K are -6.88 dB, 8.61 dB and 4.97 dB for urban, rural and suburban environments, respectively, at 781 MHz.…”

mentioning

confidence: 99%

Effective capacity in multiple access channels with arbitrary inputs

Hammouda

Akın

Peissig

2015

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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In this paper, we consider a two-user multiple access fading channel under quality-of-service (QoS) constraints. We initially formulate the transmission rates for both transmitters, where the transmitters have arbitrarily distributed input signals. We assume that the receiver performs successive decoding with a certain order. Then, we establish the effective capacity region that provides the maximum allowable sustainable arrival rate region at the transmitters' buffers under QoS guarantees. Assuming limited transmission power budgets at the transmitters, we attain the power allocation policies that maximize the effective capacity region. As for the decoding order at the receiver, we characterize the optimal decoding order regions in the plane of channel fading parameters for given power allocation policies. In order to accomplish the aforementioned objectives, we make use of the relationship between the minimum mean square error and the first derivative of the mutual information with respect to the power allocation policies. Through numerical results, we display the impact of input signal distributions on the effective capacity region performance of this two-user multiple access fading channel.

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MIMO Channel Measurement and Analysis for 4G Mobile Communication

Cited by 4 publications

References 5 publications

Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario

Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario

Effective Capacity in Broadcast Channels with Arbitrary Inputs

Effective capacity in multiple access channels with arbitrary inputs

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