Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels
In this paper, we analyze the uplink performance of a scalable user-centric heterogeneous cloud-radio access network (HC-RAN) implemented by using dynamic cooperative clustering (DCC) framework over a Rician fading channel with phase shifts. This channel describes various practical aspects, such as...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10012389/ |
| _version_ | 1797902200520835072 |
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| author | Hareesh Ayanampudi Ravindra Dhuli |
| author_facet | Hareesh Ayanampudi Ravindra Dhuli |
| author_sort | Hareesh Ayanampudi |
| collection | DOAJ |
| description | In this paper, we analyze the uplink performance of a scalable user-centric heterogeneous cloud-radio access network (HC-RAN) implemented by using dynamic cooperative clustering (DCC) framework over a Rician fading channel with phase shifts. This channel describes various practical aspects, such as a deterministic line of sight (LoS) component and random non-LoS (N-LoS) components. To account for the phase shifts due to user mobility, the phase of the LoS component is modeled as a uniformly distributed random variable. We assume that phase information is available at each remote radio head (RRH). We derived the phase aware-minimum mean square error (PA-MMSE) and phase unaware Linear-MMSE estimators and obtained the channel state information (CSI). We derived a closed-form expression for the achievable spectral efficiency (SE) to evaluate the system performance with both estimators. To address the effect of coherent interference in the ultra-dense networks, we developed a two-layer decoding scheme in uplink in which maximum ratio (MR) combining is performed at the RRH and large-scale fading decoding is performed at the base-band unit (BBU) pool. Based on the obtained results, the proposed method enhanced the uplink performance in an ultra-dense scenario. It is validated by comparing it with the simulation results. Moreover, the performance loss caused by the lack of phase knowledge will depend on the pilot sequence length. |
| first_indexed | 2024-04-10T09:13:56Z |
| format | Article |
| id | doaj.art-23856d481864447692f05f00aefbfe3a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T09:13:56Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-23856d481864447692f05f00aefbfe3a2023-02-21T00:02:43ZengIEEEIEEE Access2169-35362023-01-01114337434910.1109/ACCESS.2023.323559610012389Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading ChannelsHareesh Ayanampudi0https://orcid.org/0000-0003-1886-9073Ravindra Dhuli1https://orcid.org/0000-0003-2155-8508School of Electronics Engineering, VIT-AP University, Amaravati, Andhra Pradesh, IndiaSchool of Electronics Engineering, VIT-AP University, Amaravati, Andhra Pradesh, IndiaIn this paper, we analyze the uplink performance of a scalable user-centric heterogeneous cloud-radio access network (HC-RAN) implemented by using dynamic cooperative clustering (DCC) framework over a Rician fading channel with phase shifts. This channel describes various practical aspects, such as a deterministic line of sight (LoS) component and random non-LoS (N-LoS) components. To account for the phase shifts due to user mobility, the phase of the LoS component is modeled as a uniformly distributed random variable. We assume that phase information is available at each remote radio head (RRH). We derived the phase aware-minimum mean square error (PA-MMSE) and phase unaware Linear-MMSE estimators and obtained the channel state information (CSI). We derived a closed-form expression for the achievable spectral efficiency (SE) to evaluate the system performance with both estimators. To address the effect of coherent interference in the ultra-dense networks, we developed a two-layer decoding scheme in uplink in which maximum ratio (MR) combining is performed at the RRH and large-scale fading decoding is performed at the base-band unit (BBU) pool. Based on the obtained results, the proposed method enhanced the uplink performance in an ultra-dense scenario. It is validated by comparing it with the simulation results. Moreover, the performance loss caused by the lack of phase knowledge will depend on the pilot sequence length.https://ieeexplore.ieee.org/document/10012389/Channel estimationHC-RANnetwork scalabilityRician fadingspectral efficiencyuser-centric network |
| spellingShingle | Hareesh Ayanampudi Ravindra Dhuli Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels IEEE Access Channel estimation HC-RAN network scalability Rician fading spectral efficiency user-centric network |
| title | Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels |
| title_full | Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels |
| title_fullStr | Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels |
| title_full_unstemmed | Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels |
| title_short | Performance Analysis of Scalable User-Centric HC-RAN Over Rician Fading Channels |
| title_sort | performance analysis of scalable user centric hc ran over rician fading channels |
| topic | Channel estimation HC-RAN network scalability Rician fading spectral efficiency user-centric network |
| url | https://ieeexplore.ieee.org/document/10012389/ |
| work_keys_str_mv | AT hareeshayanampudi performanceanalysisofscalableusercentrichcranoverricianfadingchannels AT ravindradhuli performanceanalysisofscalableusercentrichcranoverricianfadingchannels |