Channel capacity of the macrodiversity SC system in the presence of kappa-mu fading and correlated slow gamma fading

Smilić, Marko; Jakšić, Branimir; Milić, Dejan; Panic, Stefan; Spalević, Petar

doi:10.2298/fuee1803447s

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…The CC per unit bandwidth for two different adjustment policies over κ-μ fading channels with maximal ratio combinig (MRC) diversity were considered in [27]. Channel capacity of the macrodiversity selection combinig (SC) receiver consisting of two dual branch SC microdiversity receivers, in the presence of κ-μ fading and correlated slow gamma fading is determined in [28].…”

Section: Related Papers and System Modelmentioning

confidence: 99%

Wireless Three-hop Relay Environment with Line-of-Sight: Investigation and Performance Analysis

Krstić

Nikolic²,

Popović³

et al. 2021

JCOMSS

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Lately, the investigation of multi-hop relays is increased in both, academia and engineering practice. Multi-hop relay is introduced to enable data transmission between base station and mobile user dividing great distance into two or more segments to improve link quality. This improvement is specially expressed in environments under deep fading and shadow, where coverage is significantly increased using multi-hop relays. Here, wireless three-hop relay environment with line-of-sight was observed. Output signal from such system is defined as a product of three arbitrary, independent, but not necessarily identically distributed Rician random variables (RVs). For such system, some important performance of the first and second order were analyzed and graphically presented. The impact of Rician factor and signal powers on performance quantities was shown. Derived and displayed first order performance are: probability density function (PDF), cumulative distribution function (CDF), outage probability (Pout), moments, amount of fading (AoF) and channel capacity. Then, the following second order characteristics of wireless three-hop relay communication system working in Rician multipath fading environment were covered: level crossing rate (LCR) and average fade duration (AFD). These results have big application in wireless relay communications with a pronounced line-of-sight, where Rician model is used to describe fading.

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Section: Related Papers and System Modelmentioning

confidence: 99%

Wireless Three-hop Relay Environment with Line-of-Sight: Investigation and Performance Analysis

Krstić

Nikolic²,

Popović³

et al. 2021

JCOMSS

View full text Add to dashboard Cite

show abstract

“…Increasing the CC of mobile networks is one of the main demands in today's wireless services. Analyses of the channel capacity can be found in the existing literature [11][12][13]. This is why we have chosen to investigate this performance metric in our paper.…”

Section: Introductionmentioning

confidence: 99%

“…The standard approach to mitigating the impact of fading and CCI is through diversity combining [1]. Some of the most common diversity-combining techniques are maximal ratio combining (MRC) [6][7][8], equal gain combining (EGC) [14], and selection combining (SC) [9,13,15]. While all of these techniques improve system performance, MRC is considered the most effective.…”

Section: Introductionmentioning

confidence: 99%

AI-Enabled Framework for Mobile Network Experimentation Leveraging ChatGPT: Case Study of Channel Capacity Calculation for η-µ Fading and Co-Channel Interference

Krstic,

Petrovic,

Suljovic

et al. 2023

Electronics

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Artificial intelligence has been identified as one of the main driving forces of innovation in state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios, relying on predictive models for increasing network management efficiency. However, its adoption requires additional efforts, such as mastering the terminology, tools, and newly required steps of data importing and preparation, all of which increase the time required for experimentation. Therefore, we aimed to automate the manual steps as much as possible while reducing the overall cognitive load. In this paper, we explore the potential use of a novel Chat Generative Pre-trained Transformer (ChatGPT) conversational agent together with a model-driven approach relying on the Neo4j graph database in order to aid experimentation and analytics in the case of wireless network planning. As a case study, we present a derivation of the expression for the channel capacity (CC) metric in the case of η-µ multipath fading and η-µ co-channel interference. Moreover, the derived expression is leveraged for quality of service (QoS) estimation within the software simulation environment. ChatGPT, in synergy with a model-driven approach, is used to automate several steps: data importing, generation of graph construction, and machine learning-related Neo4j queries. According to the achieved outcomes, the proposed QoS estimation method, based on the derived CC expression (with precision up to the fifth significant digit), demonstrates satisfactory accuracy (up to 98%) and faster training than the deep neural network-based solution. On the other hand, compared to the manual approach based on our previous work, ChatGPT-based code generation reduces the time required for experimentation by more than 4 times.

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Adaptive transmission algorithms and diversity techniques for improving performance in communication systems

Smilić¹,

Milić

Nikolić

2021

2021 29th Telecommunications Forum (TELFOR)

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Channel capacity of the macrodiversity SC system in the presence of kappa-mu fading and correlated slow gamma fading

Cited by 4 publications

References 18 publications

Wireless Three-hop Relay Environment with Line-of-Sight: Investigation and Performance Analysis

Wireless Three-hop Relay Environment with Line-of-Sight: Investigation and Performance Analysis

AI-Enabled Framework for Mobile Network Experimentation Leveraging ChatGPT: Case Study of Channel Capacity Calculation for η-µ Fading and Co-Channel Interference

Adaptive transmission algorithms and diversity techniques for improving performance in communication systems

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