28 GHz MIMO Channel Capacity Analysis for 5G Wireless Communication Systems

Xia, Ang; Wang, Zhongyu; Geng, Suiyan; Zhao, Xiongwen; Zhang, Rui; Liu, Yongsheng; Geng, Yigang

doi:10.1109/isape.2018.8634361

Cited by 11 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SNR in wireless systems computed using data from radio links and described as [37]: 15) where Gt and Gr are the antenna gains of TX and RX, which in this test are both 3 dB, and Pt is the transmitting power. In the measurements, IL stands for the expected 6 dB total implementation loss.…”

Section: Channel Links Budgetmentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of mm-Wave Based System in GFDM- 5G and Beyond Channel Model with Dust Storm Scenario

Hammed,

Ameen

2024

EMITTER Int'l J. of Engin. Technol.

View full text Add to dashboard Cite

Telecommunication has made tremendous improvements in terms of bandwidth, requiring good frequency location, high data rates, and wideband spectrum availability. One solution to these requirements is the millimeter wave frequency band of 30 GHz. However, communication in this band is facing new challenges due to climate effects such as humidity, dust storms, and temperature. For fifth-generation (5G) mobile networks and beyond, Generalized Frequency Division Multiplexing (GFDM) has been proposed as a compelling candidate to substitute Orthogonal Frequency Division Multiplexing (OFDM). The GFDM's ability to adapt the block size and type of pulse shaping filters enables it to meet various crucial requirements, including low latency, low Out-Of-Band(OOB) radiation, and high data rates. This paper evaluated the overall GFDM performance and investigated the Bit Error Rate (BER) across a Rayleigh channel under various weather conditions. The simulation results show that GFDM outperforms the current OFDM candidate system. Also, GFDM offers better resistance to the Rayleigh channel with moderate and heavy dust storms in terms of BER.

show abstract

Section: Channel Links Budgetmentioning

confidence: 99%

“…where k is the Boltzmann's constant, the room temperature is T= 290 K, and NF is the noise figure at RX, 6 dB expected. It should be noted that the IL and NF are set to the identical values as those in [37].…”

Section: Channel Links Budgetmentioning

confidence: 99%

Performance Evaluation of mm-Wave Based System in GFDM- 5G and Beyond Channel Model with Dust Storm Scenario

Hammed,

Ameen

2024

EMITTER Int'l J. of Engin. Technol.

View full text Add to dashboard Cite

show abstract

“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :…”

Section: Power Allocationmentioning

confidence: 99%

“…Before we calculate the SINR value of the UEs in simulation we determine the received power of each UE according to following link budget equation 46,47 :

{normalP}_{normalRX} = {normalP}_{normalTX} + {normalG}_{normalTX} - {normalL}_{normalTX} - {normalL}_{normalPS} - {normalL}_{normalM} + {normalG}_{normalRX} - {normalL}_{normalRX}

where P RX is received power (dBm), P TX is transmitter output power (dBm), G TX is transmitter antenna gain (dBi), L TX is transmitter losses (coax, connectors.) (dB), L PS is path loss (dB), L M is miscellaneous losses (fading margin, body loss, other losses.)…”

Section: System Modelmentioning

confidence: 99%

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Inter cell interference coordination (ICIC) strategies in cellular systems have vital importance for spectrum efficiency in dense urban networks. Frequency reuse and resource allocation approaches are used to overcome the interference and the efficiency problems. Users in the cell edge suffer from low throughput and signal to interference plus noise ratio. Although increasing the transmit power of the BS can be considered as a solution, it also causes ICI. Considering these difficulties, we propose a technique called Experience Based Dynamic Soft Frequency Reuse in the 5G millimeter-wave (mmWave) at 28 GHz band.The first objective of the proposed technique is to minimize the inter cell interference by using Soft Frequency Reuse method. The technique also aims to increase the overall system throughput by using Dynamic Channel Allocation.The third objective is to progress a fairness scheduler algorithm among users by optimizing the base station schedulers, which we call Experience-Based Packet Scheduler. The main purpose of this article is to find the best value for α in order to maximize the average user and cell edge user throughput while considering the users' fairness. Simulations and numerical results show that the proposed algorithm can achieve up to 30% higher performance in terms of the average user throughput rates and has better fairness for lower α values (0.3 and 0.4).

show abstract

“…The channel capacity and system link budget are studied in the work that has the reference number [20]. These calculations are based on measurements of the 28 GHz MIMO (4x4) channel that were carried out for both line of sight (LOS) and none line of sight (NLOS) situations.…”

Section: Introductionmentioning

confidence: 99%

A broadband MIMO antenna's channel capacity for WLAN and WiMAX applications

Bakouchi¹,

Ghammaz²

2022

IJ-ICT

View full text Add to dashboard Cite

This paper describes the findings of a research into the multiple input multiple output (MIMO) channel capacity of a broadband dual-element printed inverted F-antenna (PIFA) antenna array. The dual-element antenna array is made up of two PIFAs that are meant to fit on a teeny-tiny and small wireless communication device that runs at 5 GHz. The device's frequency range is between 3.5 and 4.5 GHz. These PIFAs are also loaded into the device during the installation process. In order to investigate the channel capacity, the ray tracing method is employed in two different kinds of circumstances. For the purpose of carrying out this analysis of the channel capacity, both the simulated and measured mutual couplings of the broadband MIMO antenna are utilized.

show abstract

28 GHz MIMO Channel Capacity Analysis for 5G Wireless Communication Systems

Cited by 11 publications

References 5 publications

Performance Evaluation of mm-Wave Based System in GFDM- 5G and Beyond Channel Model with Dust Storm Scenario

Performance Evaluation of mm-Wave Based System in GFDM- 5G and Beyond Channel Model with Dust Storm Scenario

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

A broadband MIMO antenna's channel capacity for WLAN and WiMAX applications

Contact Info

Product

Resources

About