Compensation of Phase Noise in OFDM Wireless Systems

Zou, Qingze; Tarighat, A.; Sayed, Ali H.

doi:10.1109/tsp.2007.899583

Cited by 136 publications

(85 citation statements)

References 20 publications

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“…Although phase noise is well studied and can be compensated in other ways (e.g., [25,26]), we use this example to demonstrate the generality of our demapping approach. …”

Section: Scenario 2: Phase Noisementioning

confidence: 99%

Improved demapping for channels with data-dependent noise

Layton

Mehboob

Cowley

et al. 2018

J Wireless Com Network

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A new demapper is presented for communication channels that can be modeled with data-dependent noise on the received symbols. This includes optical and satellite channels with various types of distortion. The demapper incorporates the covariance information of the received symbol clusters to capture noise variation across the constellation and any dependency between the in-phase and quadrature components. Two communication scenarios are considered, and it is shown that the demapper is advantageous when a system is dominated by distortion as opposed to thermal noise. Channel coding considerations are presented, and reductions up to 4 dB in the required SNR are achieved.

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“…Although phase noise is well studied and can be compensated in other ways (e.g., [25,26]), we use this example to demonstrate the generality of our demapping approach. …”

Section: Scenario 2: Phase Noisementioning

confidence: 99%

Improved demapping for channels with data-dependent noise

Layton

Mehboob

Cowley

et al. 2018

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…The detailed modeling parameters are listed in Table 4-2 of [9]. As an example, Figure 2 shows the estimated power spectral density (PSD) of the carrier phase noise [11] (using the periodogram method with 2 × 10 8 PN samples) at 28 and 60 GHz, respectively.…”

Section: Phase Noise Modelmentioning

confidence: 99%

“…The PN effects on OFDM or MIMO-OFDM systems have been extensively studied in the literature [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. Most of the works assume free-running oscillators, except for [10][11][12][13], where phase locked loop (PLL) based oscillators were also assumed. Most of the studies assume a common oscillator for all the transmit (receive) antennas, except for [12,[24][25][26], where independent oscillators (i.e., each antenna is equipped with a different oscillator) were also considered.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Chen

Wang

Fan

et al. 2017

Wireless Communications and Mobile Computing

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The effects of oscillator phase noises (PNs) on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are studied. It is shown that PNs of common oscillators at the transmitter and at the receiver have the same influence on the performance of (single-stream) beamforming MIMO-OFDM systems, yet different influences on spatial multiplexing MIMO-OFDM systems with singular value decomposition (SVD) based precoding/decoding. When each antenna is equipped with an independent oscillator, the PNs at the transmitter and at the receiver have different influences on beamforming MIMO-OFDM systems as well as spatial multiplexing MIMO-OFDM systems. Specifically, the PN effect on the transmitter (receiver) can be alleviated by having more transmit (receive) antennas for the case of independent oscillators. It is found that the independent oscillator case outperforms the common oscillator case in terms of error vector magnitude (EVM).

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“…Such an approach has been adopted by many authors, such as [28,[35][36][37], which are studies of single-input single-output (SISO) orthogonal frequency division multiplexing (OFDM) systems.…”

Section: The Band-limited Phase Noise Channelmentioning

confidence: 99%

Phase Noise and Wideband Transmission in Massive MIMO

Pitarokoilis¹

2016

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In the last decades the world has experienced a massive growth in the demand for wireless services. The recent popularity of hand-held devices with data exchange capabilities over wireless networks, such as smartphones and tablets, increased the wireless data traffic even further. This trend is not expected to cease in the foreseeable future. In fact, it is expected to accelerate as everyday apparatus unrelated with data communications, such as vehicles or household devices, are foreseen to be equipped with wireless communication capabilities.Further, the next generation wireless networks should be designed such that they have increased spectral and energy efficiency, provide uniformly good service to all of the accommodated users and handle many more devices simultaneously. Massive multiple-input multiple-output (Massive MIMO) systems, also termed as large-scale MIMO, very large MIMO or full-dimension MIMO, have recently been proposed as a candidate technology for next generation wireless networks. In Massive MIMO, base stations (BSs) with a large number of antenna elements serve simultaneously only a few tens of single antenna, non-cooperative users. As the number of BS antennas grow large, the normalized channel vectors to the users become pairwise asymptotically orthogonal and, therefore, simple linear processing techniques are optimal. This is substantially different from the current design of contemporary cellular systems, where BSs are equipped with a few antennas and the optimal processing is complex. Consequently, the need for redesign of the communication protocols is apparent.The deployment of Massive MIMO requires the use of many inexpensive and, potentially, off-the-shelf hardware components. Such components are likely to be of low quality and to introduce distortions to the information signal. Hence, Massive MIMO must be robust against the distortions introduced by the hardware impairments. Among the most important hardware impairments is phase noise, which is introduced by local oscillators (LOs) v at the BS and the user terminals. Phase noise is a phenomenon of particular importance since it acts multiplicatively on the desired signal and rotates it by some random and unknown argument. Further, the promised gains of Massive MIMO can be reaped by coherent combination of estimated channel impulse responses at the BS antennas. Phase noise degrades the quality of the estimated channel impulse responses and impedes the coherent combination of the received waveforms.In this dissertation, wideband transmission schemes and the effect of phase noise on Massive MIMO are studied. First, the use of a low-complexity single-carrier precoding scheme for the broadcast channel is investigated when the number of BS antennas is much larger than the number of served users. A rigorous, closed-form lower bound on the achievable sum-rate is derived and a scaling law on the potential radiated energy savings is stated. Further, the performance of the proposed scheme is compared with a sumcapacity upper bound and ...

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Compensation of Phase Noise in OFDM Wireless Systems

Cited by 136 publications

References 20 publications

Improved demapping for channels with data-dependent noise

Improved demapping for channels with data-dependent noise

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Phase Noise and Wideband Transmission in Massive MIMO

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