Pilot Contamination in Massive MIMO Systems: Challenges and Future Prospects
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| Main Authors: | , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910599579959296 |
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| author | Saeed, Muhammad Kamran Khokhar, Ashfaq Ahmed, Shakil |
| author_facet | Saeed, Muhammad Kamran Khokhar, Ashfaq Ahmed, Shakil |
| contents | Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy efficiency and higher reliability. However, these advantages are contingent upon precise channel state information (CSI) availability at the base station (BS). Ensuring precise CSI is challenging due to the constrained size of the coherence interval and the resulting limitations on pilot sequence length. Therefore, reusing pilot sequences in adjacent cells introduces pilot contamination, hindering SE enhancement. This paper reviews recent advancements and addresses research challenges in mitigating pilot contamination and improving channel estimation, categorizing the existing research into three broader categories: pilot assignment schemes, advanced signal processing methods, and advanced channel estimation techniques. Salient representative pilot mitigation/assignment techniques are analyzed and compared in each category. Lastly, possible future research directions are discussed. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2404_19238 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Pilot Contamination in Massive MIMO Systems: Challenges and Future Prospects Saeed, Muhammad Kamran Khokhar, Ashfaq Ahmed, Shakil Information Theory Distributed, Parallel, and Cluster Computing Computer Science and Game Theory Machine Learning Networking and Internet Architecture Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy efficiency and higher reliability. However, these advantages are contingent upon precise channel state information (CSI) availability at the base station (BS). Ensuring precise CSI is challenging due to the constrained size of the coherence interval and the resulting limitations on pilot sequence length. Therefore, reusing pilot sequences in adjacent cells introduces pilot contamination, hindering SE enhancement. This paper reviews recent advancements and addresses research challenges in mitigating pilot contamination and improving channel estimation, categorizing the existing research into three broader categories: pilot assignment schemes, advanced signal processing methods, and advanced channel estimation techniques. Salient representative pilot mitigation/assignment techniques are analyzed and compared in each category. Lastly, possible future research directions are discussed. |
| title | Pilot Contamination in Massive MIMO Systems: Challenges and Future Prospects |
| topic | Information Theory Distributed, Parallel, and Cluster Computing Computer Science and Game Theory Machine Learning Networking and Internet Architecture |
| url | https://arxiv.org/abs/2404.19238 |