Coverage and Capacity Measurements for 5G Voice Services

Hou, Jason; Hu, Chunlei; Zhao, Xiangfu; Guo, Han; Yu, Jinyang; Xu, Xiaohang

doi:10.1109/iccet58756.2023.00020

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…A more detailed study is provided in [17], where Blocking Probability of downlink control channel is obtained. Control mechanisms impact on VoNR is presented in [18], including some results from real-world tested scenarios. Nevertheless, none of above-mentioned studies provide detailed maximum capacity calculations, including both data and control channels.…”

Section: Related Workmentioning

confidence: 99%

“…Each CCE is composed by multiple Resource Element Groups (REGs), in turn made up of groupings of REs, which number vary for LTE and 5G. To simplify the calculations, a relationship between MCS and AL has been determined as a function of whether the radio conditions are optimal (22)(23)(24)(25)(26)(27), average (15)(16)(17)(18)(19)(20)(21), bad (7)(8)(9)(10)(11)(12)(13)(14) or very bad (0-6). The corresponding MCS-AL mapping is defined in [18], as 2 for average conditions, 4 for bad, and 8 for very bad.…”

Section: ) Physical Downlink Control Channel (Pdcch) Limitationmentioning

confidence: 99%

“…To simplify the calculations, a relationship between MCS and AL has been determined as a function of whether the radio conditions are optimal (22)(23)(24)(25)(26)(27), average (15)(16)(17)(18)(19)(20)(21), bad (7)(8)(9)(10)(11)(12)(13)(14) or very bad (0-6). The corresponding MCS-AL mapping is defined in [18], as 2 for average conditions, 4 for bad, and 8 for very bad. To extend the analysis, an additional value of AL equal to 1 has been added for the optimal case, when users are really close to base stations and there is no interference or attenuation.…”

Section: ) Physical Downlink Control Channel (Pdcch) Limitationmentioning

confidence: 99%

“…The number of REs composing each CCE is obtained establishing an AL value equal to one, for LTE and 5G separately, trying to minimize the consumption of resources per UE data. PDCCH CCE limitation calculations are provided in [18]. A pseudo-code implementation is provided in Algorithm 3, where CCE AL is the number of CCE per AL, REG CCE is the number of REG in each CCE, RE REG is the number of RE for each REG, and the calculated value is MCPTT users .…”

Section: ) Physical Downlink Control Channel (Pdcch) Limitationmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of Mission Critical Services Radio Access Network Capacity Limitations Over 5G

Santiago,

De Cerio,

Sanchoyerto

et al. 2024

IEEE Access

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The evolution of Critical Communications has been conditioned by the underlying networks ranging from previous narrowband almost voice-only Private Mobile Radios (PMR) to now multimedia capable broadband Long Term Evolution (LTE) / fifth generation (5G). Due to the nature of critical communications, the 3rd Generation Partnership Project (3GPP) has defined a series of requirements and recommendations to ensure that availability and performance of Mission Critical Services (MCX) are guaranteed specially in massive group communications. However, no study has been conducted to determine if required capacity and scalability conditions in crisis events can be actually satisfied by commercial or even hybrid LTE/5G networks. This paper presents an analysis of the capacity limitations of the MCX voice service over broadband networks in terms of number of concurrent streams that can be served per cell by comprehensively identifying the different transmission and protocols related bottlenecks. The aggregation of such constraints results in a theoretical model for the maximum capacity of LTE/5G, far more realistic than coarse grain estimations that consider overall cell peak rate. Furthermore, a comparison between MCX over LTE and 5G is provided, indicating the ratio of unusable or wasted radio resources to the total amount available. This way not only actual maximum achievable capacity but also a measure of the efficiency in terms of radio resource usage is provided, which is extremely important for the business model behind hybrid deployments. Both results will contribute towards better network dimensioning as well as possible finer tuning of network and service parameters.

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Section: Related Workmentioning

confidence: 99%