Mobility Management Based on Beam-Level Measurement Report in 5G Massive MIMO Cellular Networks

Massive multiple-input-multiple-output (MMIMO) in the mmWave band is an essential technique to achieve the desired performance for 5G new radio (NR) systems. To employ mmWave MMIMO technology, an important challenge is maintaining seamless mobility to users because we need to consider beam-switching within a cell besides the handover between cells. For mobility management in 5G NR systems, 3GPP specified a beam-level-mobility scheme that includes beam pairing and maintenance between a transmitter (Tx) and receiver (Rx) pair. We propose a unific-measurement report based mobility management scheme for improved radio-link-failure (RLF) rate and the accuracy of the Tx-Rx-beam-pair (TRP) selection with low overhead in 5G mmWave MMIMO networks where both handover and beam-switching are required. Furthermore, we modeled a finite-state-machine (FSM) for a user terminal to evaluate performance gain based on a system-level-simulation (SLS). We use the FSM-based Monte-Carlo SLS for the experiment and compare the performance of the proposed scheme with that of existing schemes in the scenario where both beam and cell-level-mobility are necessary. We show that the proposed scheme achieves an improvement in terms of the 3-dB loss probabilities representing the accuracy of the TRP selection, signal-to-interference-and-noise-ratio (SINR), and RLF rates with a lower signaling overhead compared to existing methods.

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Resource Allocation for Vertical Sectorization in LTE-Advanced Systems

International Journal of Antennas and Propagation ◽

10.1155/2013/456760 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Lei Song ◽

Mugen Peng ◽

Yan Li

Keyword(s):

Resource Allocation ◽

Interference Cancellation ◽

Multiple Input Multiple Output ◽

Three Dimensional ◽

Base Station ◽

System Level ◽

System Level Simulation ◽

Lte Advanced ◽

Input Multiple Output ◽

Resource Allocation Scheme

Massive multiple input multiple output (MIMO) technology has been discussed widely in the past few years. Three-dimensional MIMO (3D MIMO) can be seen as a promising technique to realize massive MIMO to enhance the performance of LTE-Advanced systems. Vertical sectorization can be introduced by means of adjusting the downtilt of transmitting antennas. Thus, the radiowave from a base station (BS) to a group of user equipments (UE) can be divided into two beams which point at two different areas within a cell. Intrasector interference is inevitable since the resources are overlapped. In this paper, the influence of intrasector interference is analyzed and an enhanced resource allocation scheme for vertical sectorization is proposed as a method of interference cancellation. Compared with the conventional 2D MIMO scenarios, cell average throughput of the whole system can be improved by vertical sectorization. System level simulation is performed to evaluate the performance of the proposed scheme. In addition, the impacts of downtilt parameters and intersite distance (ISD) on spectral efficiency and cell coverage are presented.

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Design of Massive Multiuser MIMO System to Mitigate Inter Antenna Interference and Multiuser Interference in 5G Wireless Networks

Journal of Communications ◽

10.12720/jcm.15.9.693-701 ◽

2020 ◽

pp. 693-701 ◽

Cited By ~ 1

Author(s):

Naga Raju Challa ◽

◽

Kalapraveen Bagadi

Keyword(s):

Communication Networks ◽

Mimo System ◽

Multiple Input Multiple Output ◽

Matrix Computations ◽

User Terminal ◽

Multiple Input ◽

Input Multiple Output ◽

Major Factors ◽

Value Decomposition ◽

User Interference

Massive Multi-user Multiple Input Multiple Output (MU‒MIMO) system is aimed to improve throughput and spectral efficiency in 5G communication networks. Inter-antenna Interference (IAI) and Multi-user Interference (MUI) are two major factors that influence the performance of MU–MIMO system. IAI arises due to closely spaced multiple antennas at each User Terminal (UT), whereas MUI is generated when one UT comes in the vicinity of another UT of the same cellular network. IAI can be mitigated by the use of a pre-coding scheme such as Singular Value Decomposition (SVD) and MUI can be cancelled through efficient Multi-user Detection (MUD) schemes. The highly complex and optimal Maximum Likelihood (ML) detector involves a large number of computations, especially when in massive structures. Therefore, the local search-based algorithm such as Likelihood Ascent Search (LAS) has been found to be a better alternative for mitigation of MUI, as it results in near optimal performance using lesser number of matrix computations. Most of the literature have been aimed at mitigating either IAI or MUI, whereas the proposed work presents SVD pre-coding and LAS MUD to mitigate both IAI and MUI. Simulation results indicate that the proposed scheme can attain near-optimal bit error rate (BER) performance with fewer computations.

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A Novel 2.4-GHz Low-Profile Smart MIMO Antenna with Reconfigurable Frequency-Selective Reflectors

Advanced Electromagnetics ◽

10.7716/aem.v9i2.1369 ◽

2020 ◽

Vol 9 (2) ◽

pp. 42-51

Author(s):

C.-H. Tsai ◽

J.-S. Sun ◽

S.-J. Chung ◽

J.-H. Tarng

Keyword(s):

Multiple Input Multiple Output ◽

Antenna System ◽

Switching Network ◽

Ieee 802.11A ◽

Mimo Antenna ◽

Low Profile ◽

Specific Direction ◽

Input Multiple Output ◽

Frequency Selective ◽

Beam Switching

In this paper, a new low-profile smart multiple-input multiple-output (MIMO) antenna system is presented for WiFi IEEE 802.11a/b/g/n/ac/ax applications. The proposed compact 2.4-GHz antenna system employs two beam-switching antenna cells for MIMO operation. Each antenna cell is composed of four reconfigurable frequency-selective reflectors (RFSRs) and a one-to-four switching feeding network. The RFSRs are constructed using a one-wavelength metal loop resonator, which functions as a radiating antenna or a wave reflector to reflect beams along a specific direction, as controlled by the switching network. The feeding switching network utilizes PIN diodes to adjust the phase and impedance required for changing the operational status of each RFSR. The overall dimensions of the antenna system, including the metallic ground, are 120 mm ´ 120 mm ´ 9.5 mm. Moreover, the measured operational bandwidth of the 2.4-GHz antenna is approximately 100 MHz, and the radiation efficiency of each directed beam is 40%–70%.

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A system level hardware/software partition of a mimo-ofdm system for systemc modeling

Ingenium Revista de la facultad de ingeniería ◽

10.21500/01247492.1337 ◽

2013 ◽

Vol 14 (28) ◽

pp. 95

Author(s):

Sebastian Eslava G. ◽

Carlos Sanchez ◽

Catalina Muñoz Morales

Keyword(s):

Orthogonal Frequency Division Multiplexing ◽

Multiple Input Multiple Output ◽

Research Work ◽

Measuring System ◽

System Level ◽

Fourth Generation ◽

Multiple Input ◽

Input Multiple Output ◽

Wireless Environments ◽

Mimo Ofdm

This paper presents the design process and description at the system level of a communication system based on Multiple Input-Multiple Output and Orthogonal Frequency Division Multiplexing (MIMO-OFDM). These are used in fourth generation (4G) systems, due to the performance improvement when facing rapidly changing wireless environments. Hardware/software partitioning is taken under consideration for the design, with developed criteria for measuring system performance. The design and validation of the system is made using SystemC language. This is part of a research work, carried out in order to study and establish an appropriate methodology for Hardware/Software co-design.

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