Adjacent Channel Interference Suppression to Enhance Spectrum Sharing for Co-located Devices

Huo, Xiaolei; Zhang, Wei; Guo, Wenbo; Li, Chenxing; Zhao, Hongzhi; Liu, Ying

doi:10.1109/iccworkshops50388.2021.9473834

Cited by 5 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…21 The complex coefficients of the PA are set as shown in Equation ( 18). 22 c 10 ¼ 1:0513 þ 0:0904j, c 30 ¼ À0:0542 À 0:2900j, c 50 ¼ À0:9657 À 0:7028j, c 11 ¼ À0:0680 À 0:0023j, c 31 ¼ 0:2234 þ 0:2317j, c 51 ¼ À0:2451 À 0:3735j, c 12 ¼ 0:0289 À 0:0054j, c 32 ¼ À0:0621 À 0:0932j,…”

Section: Simulation Setupmentioning

confidence: 99%

“…The complex coefficients of the PA are set as shown in Equation (18) 22

\begin{array}{l}{c}_{10}=1.0513+0.0904j,{c}_{30}=-0.0542-0.2900j,\\ {}{c}_{50}=-0.9657-0.7028j,{c}_{11}=-0.0680-0.0023j,\\ {}{c}_{31}=0.2234+0.2317j,{c}_{51}=-0.2451-0.3735j,\\ {}{c}_{12}=0.0289-0.0054j,{c}_{32}=-0.0621-0.0932j,\\ {}{c}_{52}=0.1229+0.1508j.\end{array}

…”

Section: Simulation Setupmentioning

confidence: 99%

See 1 more Smart Citation

Improved almost blank subframe technology with cooperative interference suppression

Chen,

Long,

Nan

et al. 2023

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

Almost blank subframe (ABS) is a classic and efficient technology to cancel interference in cellular networks and could be applied in future networks such as ultra‐density network. However, the existence of ABS will result in the deterioration of the communication capacity of the macro base station (BS), particularly for applications with large number of edge users. To solve this problem, an improved ABS technology with an interference cancelation scheme is proposed. For the considered scenario, the macro BS and the micro BS work in a cooperative manner, where the signal transmitted by the macro BS interferes with the communication between the micro BS and its edge terminals. At the terminal side, both the nonlinearity of the macro BS transmitter and the propagation model between the edge user and the macro BS are estimated using neural networks (NNs), which are then sent to the micro BS for interference elimination through the ABS. At the micro BS side, firstly, the nonlinearity and channel parameters from the ABS frame are used to generate a cancelation signal. Secondly, the cancelation signal is sent from the micro BS to the edge user to eliminate the disturbance from the macro BS. This enhanced technology can alleviate the disturbance for the edge user. Meanwhile, since it massively decreases the occupancy of ABS in the macro BS, the capacity of the macro cell can be improved.

show abstract

Section: Simulation Setupmentioning

confidence: 99%

“…The complex coefficients of the PA are set as shown in Equation (18) 22

\begin{array}{l}{c}_{10}=1.0513+0.0904j,{c}_{30}=-0.0542-0.2900j,\\ {}{c}_{50}=-0.9657-0.7028j,{c}_{11}=-0.0680-0.0023j,\\ {}{c}_{31}=0.2234+0.2317j,{c}_{51}=-0.2451-0.3735j,\\ {}{c}_{12}=0.0289-0.0054j,{c}_{32}=-0.0621-0.0932j,\\ {}{c}_{52}=0.1229+0.1508j.\end{array}

…”

Section: Simulation Setupmentioning

confidence: 99%

Improved almost blank subframe technology with cooperative interference suppression

Chen,

Long,

Nan

et al. 2023

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

show abstract

“…To accurately describe the characteristics of ACI, MP model is used to describe the nonlinear distortion of the PA. 8 In the TX chain, the output of the PA can be represented as…”

Section: Aci Suppressionmentioning

confidence: 99%

“…Huo et al proposed a completely different approach, which actively suppressed ACI through signal cancellation at the receiver. 8 A memory polynomial (MP) model was used to estimate the ACI accurately, then the replica of the ACI was generated and subtracted from the received signal. The method can effectively improve the SNR of the desired signal without affecting the communication distance or deteriorating spectrum utilization.…”

Section: Introductionmentioning

confidence: 99%

Adjacent channel interference suppression based on spectral extrapolation to enhance electromagnetic compatibility of co‐site radio devices

Huo

Guo

Liu

et al. 2022

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

Interference suppression is an effective technique to enhance the electromagnetic compatibility of co-site radio devices. In adjacent channel interference (ACI) suppression, a wideband analog-to-digital converter (ADC) is always required to sample the nonlinear characteristics of the interference signal to reconstruct the ACI, resulting in a significant increase in the cost of the receiver. To solve the problem, this article adopts spectral extrapolation in the ACI suppression. First, narrowband bandpass filter and ADC are employed to sample the in-band component of the interference signal. Second the original wideband signal is recovered from the filtered signal by an inverse filter. Finally, the recovered signal is used for ACI reconstruction and cancellation. Simulation and experimental results show that when the adjacent channel leakage ratio is 45 dBc, the proposed method can achieve ACI suppression performance equivalent to that of the wideband ADC method. However, the required ADC sampling rate is only 1/3 of that of the wideband ADC.

show abstract

Signal Fidelity in Public Mobile Networks: Investigating Dominant Distortions in Macro and Micro Cells via Physical Layer Analysis

Mihaljevic

2024

Smart Innovation, Systems and Technologies

View full text Add to dashboard Cite

Adjacent Channel Interference Suppression to Enhance Spectrum Sharing for Co-located Devices

Cited by 5 publications

References 18 publications

Improved almost blank subframe technology with cooperative interference suppression

Improved almost blank subframe technology with cooperative interference suppression

Adjacent channel interference suppression based on spectral extrapolation to enhance electromagnetic compatibility of co‐site radio devices

Signal Fidelity in Public Mobile Networks: Investigating Dominant Distortions in Macro and Micro Cells via Physical Layer Analysis

Contact Info

Product

Resources

About