Nonlinear Massive MIMO Signal Detection Algorithm

Liu, Leibo; Peng, Guiqiang; Wei, Shaojun

doi:10.1007/978-981-13-6362-7_4

Cited by 1 publication

(1 citation statement)

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“…Linear detectors use linear operations such as matrix inversion, multiplication, or projection to perform signal detection with low complexity and high parallelism, but they suffer from performance degradation due to noise enhancement, interference, or channel ill-conditioning [15]. Well-known detectors, such as matched-filter (MF) receivers, zero-forcing (ZF) receivers, and minimum mean-square-error (MMSE) receivers can asymptotically achieve capacity as the number of antennas at the BS is large enough compared to the number of users and the channel vectors from different users are independent [13].…”

Section: Iv2mentioning

confidence: 99%

Interference Management in Massive MIMO System for 5G Networks: A survey

Aikoun,

Yin

2023

Preprint

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The advent of 5th Generation (5G) networks have created new challenges for wireless communication systems due to the increasing demand for high data rates, low latency, and ubiquitous connectivity. Massive Multiple-Input Multiple-Output (MIMO) systems have emerged as one of the key technologies for 5G networks, which can support multiple users simultaneously and improve system capacity and coverage. However, the use of multiple antennas in the same area to serve very large number of users can generate interference between transmitted signals, which can degrade the received signals as well as the system efficiency. Therefore, interference management techniques are essential in massive MIMO systems to reduce the impact of interference and improve system performance. This research aims to investigate interference management techniques in massive MIMO systems including beamforming method, non-orthogonal multiple access (NOMA), and joint transmission coordinated multi-point (JT-CoMP). The objective is to analyze the performance of these techniques in terms of system capacity, coverage, and reliability and compare their effectiveness in reducing interference. The research findings will provide valuable insights into the most effective interference management techniques for 5G networks and inform the design and optimization of the systems.

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Section: Iv2mentioning

confidence: 99%