A turbo receiver combined with CFO compensation in frequency-domain for OFDMA uplink

Guo, Junqi; Shang, Yongfeng; Ren, Shubo; Xiang, Haige

doi:10.1016/j.sigpro.2010.02.009

Cited by 4 publications

(2 citation statements)

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“…The turbo equalizer works in an iterative way until a stopping criterion is reached. Motivated by the success of the turbo equalizer, the turbo receiver has been extended to various applications such as MIMO detection [29][30][31], carrier-frequency offset estimation [32][33][34]. Belief propagation (BP) is a message-passing Bayesian inference framework applied to factor graphical probabilistic models, where messages are sent between factor nodes and variable nodes.…”

Section: Phy Secrecy Analysismentioning

confidence: 99%

“…For the message µ yt→b nr n t k , it requires to calculate τ y nr t→b nr n t k and ν y nr t→b nr n t k . Following the steps in Section 1-1), first it needs to calculate τ y nr t\b nr n t k and ν y nr t\b nr n t k using Equation (33) and Equation (34). Note that it can obtain the overall summation only once for all n t and k with complexity…”

Section: ) Calculate µ Hx→x N T K In Figure7mentioning

confidence: 99%

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Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy analysis.

Cao¹

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This dissertation studies three independent research topics in the general field of wireless communications. The first topic focuses on new receiver design with low-resolution analog-to-digital converters (ADC). In future massive multiple-input-multiple-output (MIMO) systems, multiple high-speed high-resolution ADCs will become a bottleneck for practical applications because of the hardware complexity and power consumption. One solution to this problem is to adopt low-cost low-precision ADCs instead. In Chapter II, MU-MIMO-OFDM systems only equipped with low-precision ADCs are considered. A new turbo receiver structure is proposed to improve the overall system performance. Meanwhile, ultra-low-cost communication devices can enable massive deployment of disposable wireless relays. In Chapter III, the feasibility of using a one-bit relay cluster to help a power-constrained transmitter for distant communication is investigated. Nonlinear estimators are applied to enable effective decoding. The second topic focuses prototyping and verification of a LTE and WiFi coexistence system, where the operation of LTE in unlicensed spectrum (LTE-U) is v discussed. LTE-U extends the benefits of LTE and LTE Advanced to unlicensed spectrum, enabling mobile operators to offload data traffic onto unlicensed frequencies more efficiently and effectively. With LTE-U, operators can offer consumers a more robust and seamless mobile broadband experience with better coverage and higher download speeds. As the coexistence leads to considerable performance instability of both LTE and WiFi transmissions, the LTE and WiFi receivers with MIMO interference canceller are designed and prototyped to support the coexistence in Chapter IV. The third topic focuses on theoretical analysis of physical-layer secrecy with finite blocklength. Unlike upper layer security approaches, the physical-layer communication security can guarantee information-theoretic secrecy. Current studies on the physical-layer secrecy are all based on infinite blocklength. Nevertheless, these asymptotic studies are unrealistic and the finite blocklength effect is crucial for practical secrecy communication.

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Section: Phy Secrecy Analysismentioning

confidence: 99%

Section: ) Calculate µ Hx→x N T K In Figure7mentioning

confidence: 99%

Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy analysis.

Cao¹

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A low complexity iterative equalization technique for OFDMA and SC-FDMA uplink systems with Tx-Rx IQ imbalance and CFO under doubly selective channels

Muneer

Sameer

2020

Physical Communication

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Joint binary image deconvolution and blur identification in the context of two-dimensional storage channels

Lehmann

2011

Signal Processing

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A turbo receiver combined with CFO compensation in frequency-domain for OFDMA uplink

Cited by 4 publications

References 18 publications

Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy analysis.

Low-resolution ADC receiver design, MIMO interference cancellation prototyping, and PHY secrecy analysis.

A low complexity iterative equalization technique for OFDMA and SC-FDMA uplink systems with Tx-Rx IQ imbalance and CFO under doubly selective channels

Joint binary image deconvolution and blur identification in the context of two-dimensional storage channels

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