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Field Trial Assessment of 5G Dynamic Spectrum Sharing Using LTE-NR CRS Rate Matching

DOI : 10.17577/IJERTV15IS060878
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Field Trial Assessment of 5G Dynamic Spectrum Sharing Using LTE-NR CRS Rate Matching

Muhammad Arif Saeed (1), and Noaman Taufiq (2)

Saudi Telecom Company

Abstract – The growing demand for 5G services has created a significant challenge for mobile operators to expand coverage while efficiently utilizing existing spectrum resources. Dynamic Spectrum Sharing (DSS) has emerged as an effective solution that enables simultaneous operation of LTE and 5G New Radio (NR) within the same frequency band, allowing rapid 5G deployment without requiring dedicated spectrum allocation. This paper presents a comprehensive performance analysis of 5G Dynamic Spectrum Sharing (DSS) deployment in a live commercial net- work environment. The trial was conducted across multiple LTE Frequency Division Duplex (FDD) bands, including Band 28, Band 1, and Band 3, using CRS Rate Matching techniques to fa- cilitate LTE-NR coexistence. Performance evaluation was carried out through drive test measurements, speed test analysis, and net- work KPI monitoring to assess the impact of DSS on throughput, coverage, spectrum utilization, and user experience. The results demonstrate that DSS successfully enables simultaneous LTE and NR operation while providing enhanced 5G coverage and service availability. Performance comparisons between DSS-enabled and dedicated NR deployments reveal that although DSS introduces certain spectral efficiency overheads due to resource sharing and CRS Rate Matching, it remains an effective solution for accelerating 5G rollout in spectrum-constrained environments. The findings confirm that DSS offers a practical and scalable approach for nationwide 5G expansion, enabling operators to maximize existing spectrum assets while maintaining acceptable network performance and user experience.

Index Terms5G New Radio (NR), Dynamic Spectrum Shar- ing (DSS), LTE-NR Coexistence, CRS Rate Matching, Spectrum Efficiency, Coverage Enhancement, Frequency Division Duplex (FDD), Network Performance, Drive Test Analysis, 5G Deploy- ment.

  1. INTRODUCTION

    The rapid growth of mobile broadband services, driven by high-definition video streaming, cloud applications, online gaming, and emerging digital services, has significantly in- creased the demand for enhanced network capacity and wider coverage. As mobile operators continue their transition from LTE to 5G, the availability of dedicated spectrum resources has become one of the primary challenges for large-scale 5G deployment. Although new spectrum allocations provide opportunities for enhanced capacity, many operators must initially rely on existing LTE spectrum assets to accelerate 5G rollout while maintaining service continuity for legacy LTE users.

    Dynamic Spectrum Sharing (DSS) has emerged as an effec- tive technology that enables the simultaneous operation of LTE and 5G New Radio (NR) within the same frequency carrier. Unlike traditional spectrum refarming approaches that require dedicated spectrum allocation for 5G services, DSS allows operators to dynamically allocate radio resources between

    LTE and NR users based on traffic demand. This capabil- ity significantly reduces deployment complexity and enables faster nationwide 5G expansion without requiring additional spectrum licenses or extensive network modifications.

    The implementation of DSS relies on advanced scheduling and coexistence mechanisms, including Cell Reference Signal (CRS) Rate Matching, which allows 5G NR transmissions to avoid LTE reference signal resources. Through intelligent resource coordination, LTE and NR users can coexist within the same carrier while maintaining acceptable performance levels. However, the sharing of spectrum resources introduces additional overhead that may impact throughput and spectral efficiency compared to dedicated NR deployments. Therefore, understanding the performance trade-offs associated with DSS is essential for optimizing network deployment strategies.

    This paper presents a comprehensive performance analy- sis of 5G Dynamic Spectrum Sharing deployment in a live commercial network environment. The study evaluates DSS operation across multiple LTE Frequency Division Duplex (FDD) bands, including Band 28, Band 1, and Band 3. Performance assessment was conducted using drive test mea- surements, throughput analysis, speed test results, and network key performance indicators (KPIs). The objective of the study is to evaluate the effectiveness of DSS in extending 5G coverage, maximizing spectrum utilization, and maintaining user experience while enabling efficient coexistence between LTE and NR technologies. The findings provide valuable insights into the practical benefits and limitations of DSS as a scalable solution for accelerating 5G deployment in spectrum- constrained environments.

  2. OBJECTIVE AND TRIAL SETUP

    1. Objective

      The primary objective of this study is to evaluate the performance of 5G Dynamic Spectrum Sharing (DSS) in a live commercial network environment and assess its effectiveness as a solution for accelerating 5G deployment using existing LTE spectrum resources. The trial aims to investigate the capability of DSS to enable simultaneous LTE and 5G NR operation within the same frequency carrier while maintaining acceptable network performance and user experience.

      In addition, the study evaluates the impact of DSS on key performance metrics including throughput, latency, spectrum utilization, and coverage enhancement. Special attention is given to the performance of DSS across multiple LTE FDD frequency bands, including Band 28, Band 1, and Band 3, where LTE and NR services coexist using CRS Rate Matching

      techniques. The trial also examines the trade-off between spec- trum sharing flexibility and the potential throughput reduction caused by resource overhead associated with DSS operation. Furthermore, the study compares DSS-enabled deployments with dedicated NR spectrum configurations to identify per- formance differences and practical deployment considerations. The overall objective is to validate DSS as a scalable and cost- effective approach for expanding 5G coverage, maximizing spectrum utilization, and supporting nationwide 5G rollout

      without requiring immediate dedicated spectrum allocation.

    2. Trial Cluster

    The DSS trial was conducted in a live commercial network environment using selected LTE Frequency Division Duplex (FDD) sites configured for LTE-NR spectrum sharing. The trial focused on evaluating DSS operation across multiple frequency bands including Band 28 (700 MHz), Band 1 (2100 MHz), and Band 3 (1800 MHz), representing both coverage- oriented and capacity-oriented spectrum layers commonly deployed in commercial networks.

    The selected trial sites were configured to support simulta- neous LTE and 5G NR transmissions within the same carrier bandwidth. Dynamic resource allocation was enabled through CRS Rate Matching, allowing NR transmissions to coexist with LTE reference signals while minimizing interference between the two technologies. The deployment was designed to simulate real network conditions and evaluate DSS perfor- mance under actual user traffic scenarios.

    Performance measurements were collected under both sta- tionary and mobility conditions to assess network behavior across different propagation environments. The trial clus- ter included coverage areas with varying radio conditions, enabling comprehensive evaluation of DSS performance in terms of throughput, coverage, spectrum efficiency, and user experience.

  3. NETWORK CONFIGURATION

    The trial network was configured using a Non-Standalone (NSA) 5G architecture, where LTE served as the anchor layer and 5G NR operated as a secondary node through E-UTRA NR Dual Connectivity (EN-DC). This architecture enabled LTE and NR services to coexist within the same Frequency Division Duplex (FDD) carrier using Dynamic Spectrum Sharing (DSS). By leveraging existing LTE infrastructure, the deployment allowed rapid introduction of 5G services without requiring dedicated NR spectrum allocation.

    The DSS feature was activated across multiple FDD fre- quency bands, including Band 28 (700 MHz), Band 1 (2100 MHz), and Band 3 (1800 MHz). LTE and NR dynamically

    shared the available carrier bandwidth through intelligent

    to traffic demand and network load. LTE remained respon- sible for control-plane signaling and mobility management, while NR provided additional capacity and enhanced user throughput. The deployment supported seamless interworking between both technologies, allowing users to benefit from dual connectivity and improved network performance.

    Overall, the network configuration provided a flexible framework for evaluating DSS performance under live com- mercial conditions. The architecture successfully enabled effi- cient spectrum sharing, accelerated 5G deployment, and main- tained stable LTE performance while supporting the gradual transition toward future standalone 5G networks.

  4. THEORETICAL BACKGROUND

    Dynamic Spectrum Sharing (DSS) is a radio access technol- ogy that enables Long Term Evolution (LTE) and Fifth Gener- ation New Radio (5G NR) systems to operate simultaneously within the same frequency band and carrier bandwidth. Unlike traditional spectrum refarming approaches, where spectrum is permanently reassigned from LTE to NR, DSS dynami- cally allocates radio resources between the two technologies according to traffic demand. This capability allows mobile operators to introduce 5G services rapidly while preserving LTE coverage and capacity for existing users.

    The DSS implementation used in this trial is based on Cell Reference Signal (CRS) Rate Matching. In LTE networks, CRS signals occupy predefined resource elements that are continuously transmitted for channel estimation and mobility support. Since these resource elements cannot be reused by NR transmissions, the NR scheduler dynamically avoids CRS locations and allocates Physical Resource Blocks (PRBs) around them. This mechanism enables LTE and NR to coexist within the same carrier while minimizing mutual interference.

    The total available bandwidth in a DSS carrier can be represented as:

    BTotal = BLTE + BNR (1)

    where:

    • BT otal represents the total available carrier bandwidth.

    • BLT E represents the bandwidth allocated to LTE users.

    • BNR represents the bandwidth allocated to 5G NR users. Unlike static spectrum allocation, the values of BLT E and BNR vary dynamically according to network load and traf- fic distribution. This allows operators to maximize spectrum

      utilization while supporting both LTE and 5G services.

      The efficiency of spectrum utilization can be evaluated using spectral efficiency, defined as:

      Throughput

      SE = (2)

      Bandwidth

      resource scheduling and CRS Rate Matching mechanisms. where:

      This approach ensured efficient utilization of spectrum re- sources while maintaining service continuity for LTE users and providing access to 5G services for compatible devices.

      To support LTE-NR coexistence, the network dynamically allocated resources between LTE and NR users according

    • SE is the spectral efficiency (bits/s/Hz).

    • Throughput represents the achieved user data rate.

    • Bandwidth represents the allocated spectrum resources. Although DSS improves spectrum utilization by allowing

      LTE and NR coexistence, the CRS Rate Matching process

      TABLE I: Band 28 DSS Performance Comparison

      Configuration

      DL Speed Test (Mbps)

      LTE

      (Mbps)

      NR

      (Mbps)

      Total DL (Mbps)

      UL

      (Mbps)

      Latency (ms)

      DSS 20 MHz 64QAM

      251

      166.5

      72.0

      238.5

      29.9

      19

      DSS 20 MHz 256QAM

      129

      94.4

      50.6

      145.0

      30.0

      153

      No DSS 10 MHz NR

      262

      168.5

      95.3

      263.8

      33.0

      12

      introduces overhead that slightly reduces spectral efficiency compared to dedicated NR deployments.

      The theoretical maximum channel capacity can be estimated

      using Shannons Capacity Theorem:

      C = B log2(1 + SNR) (3)

      where:

    • C represents channel capacity.

    • B represents channel bandwidth.

    • SNR represents the signal-to-noise ratio.

      According to this relationship, increasing bandwidth or improving radio signal quality results in higher achievable throughput. However, in DSS deployments, a portion of the available resources is reserved for LTE control and reference signals, reducing the effective bandwidth available for NR transmission.

      The total throughput achieved in DSS operation can be expressed as:

      TTotal = TLTE + TNR (4)

      where:

    • TT otal is the combined throughput.

    • TLT E is the LTE throughput contribution.

    • TNR is the NR throughput contribution.

    This relationship is particularly important in DSS deploy- ments because both technologies simultaneously contribute to the overall user throughput. The balance between LTE and NR throughput depends on traffic demand, user distribution, and the dynamic resource allocation mechanism implemented by the scheduler.

    Overall, DSS provides a practical solution for maximizing spectrum utilization and accelerating 5G deployment by en- abling efficient coexistence between LTE and NR technolo- gies. Although certain overheads are introduced due to CRS Rate Matching and resource sharing, DSS remains an effective approach for expanding 5G coverage in spectrum-constrained environments while preserving LTE service continuity.

  5. DSS ARCHITECTURE AND CRS RATE MATCHING

    Dynamic Spectrum Sharing (DSS) is a technology that enables LTE and 5G New Radio (NR) services to operate simultaneously within the same frequency carrier. Unlike conventional spectrum refarming, where dedicated spectrum is allocated to 5G services, DSS allows both technologies to dynamically share available radio resources according to network demand. This capability enables mobile operators to accelerate 5G deployment while preserving LTE service

    continuity and maximizing the utilization of existing spectrum assets.

    The DSS implementation used in this trial was based on a Non-Standalone (NSA) architecture, where LTE served as the anchor layer and 5G NR operated as a secondary node through EN-DC connectivity. To facilitate coexistence between LTE and NR, CRS Rate Matching was employed. In LTE networks, Cell Reference Signals (CRS) occupy predefined resource elements that are continuously transmitted for synchronization and channel estimation. Through CRS Rate Matching, the NR scheduler identifies these LTE CRS locations and avoids scheduling NR transmissions on the same resources, thereby preventing interference between the two technologies.

    The trial was conducted across Band 28, Band 1, and Band 3 using shared spectrum resources. TheDSS sched- uler dynamically allocated radio resources between LTE and NR users based on traffic demand and network conditions. This flexible resource-sharing mechanism enabled efficient spectrum utilization while maintaining acceptable performance levels for both LTE and 5G services. The architecture also supported rapid deployment without requiring significant hard- ware modifications or additional spectrum allocation.

    Although CRS Rate Matching introduces some overhead and slightly reduces spectral efficiency compared to dedicated NR deployments, it provides a practical solution for accel- erating 5G coverage expansion. The trial results demonstrate that DSS successfully enables LTE-NR coexistence, improves spectrum utilization, and supports a smooth migration path to- ward future standalone 5G networks while maintaining service continuity for existing LTE subscribers.

  6. OOKLA PERFORMANCE ANALYSIS

    The Ookla performance analysis was conducted to evaluate the user-experienced throughput of Dynamic Spectrum Shar- ing (DSS) under live network conditions. Multiple speed test measurements were performed across different DSS configu- rations operating on Band 28 (700 MHz), including DSS with 64QAM, DSS with 256QAM, and a dedicated NR deployment without DSS. The objective was to assess the impact of spectrum sharing on throughput, latency, and overall user experience. The performance comparison is summarized in Table I.

    The results indicate that DSS successfully enables simul- taneous LTE and 5G NR operation while providing accept- able throughput performance. Under the DSS 20 MHz con- figuration with 64QAM modulation, the network achieved a speed test throughput of approximately 251 Mbps, with LTE and NR contributing 166.5 Mbps and 72 Mbps respec- tively. The combined throughput reached approximately 238.5 Mbps, demonstrating efficient utilization of shared spectrum

    resources. However, when DSS operated with 256QAM mod- ulation, the throughput performance decreased due to interfer- ence conditions and additional resource-sharing overhead. This observation highlights the importance of radio optimization and interference management in DSS deployments.

    The highest performance was achieved under the dedicated NR configuration without DSS, where the network recorded approximately 262 Mbps speed test throughput and a total physical layer throughput of 263.8 Mbps. In addition, the dedicated NR configuration achieved lower latency and higher NR throughput contribution compared to the DSS scenarios. These results confirm that while dedicated NR deployment offers superior spectral efficiency, DSS remains an effective solution for extending 5G coverage and accelerating network deployment in environments where dedicated 5G spectrum is not readily available. Overall, the Ookla analysis validates DSS as a practical approach for enabling nationwide 5G expansion while maintaining acceptable user experience and network performance.

  7. DRIVE TEST RESULTS

    Extensive drive testing was conducted to evaluate the real- world performance of Dynamic Spectrum Sharing (DSS) under commercial network conditions. The objective of the drive test campaign was to assess the coexistence of LTE and 5G NR within the same frequency carrier and validate the throughput, coverage, and service continuity achieved through DSS deployment. Testing was performed across multiple FDD frequency bands, including Band 28 (700 MHz), Band 1 (2100 MHz), and Band 3 (1800 MHz), under both stationary and mobility scenarios.

    The measurements focused on evaluating LTE throughput contribution, NR throughput contribution, total physical layer throughput, and user-experienced throughput obtained through speed test applications. The collected results provide valuable insights into the practical performance of DSS and its effec- tiveness as a solution for accelerating 5G coverage expansion using existing LTE spectrum resources.

    1. Band 28 DSS Performance

      Band 28 was selected as the primary coverage layer for DSS evaluation due to its favorable propagation characteris- tics and wide-area coverage capability. The trial successfully demonstrated simultaneous LTE and NR operation within the same 20 MHz carrier using CRS Rate Matching. Following optimization activities, including the disabling of interfering neighboring cells, the DSS configuration achieved significant throughput improvements.

      The drive test results showed a combined physical layer throughput of approximately 240.7 Mbps, consisting of 168.7 Mbps LTE throughput and 72 Mbps NR throughput contri- bution. User-experienced throughput measured through speed tests reached approximately 235 Mbps. These results confirm that DSS can effectively deliver 5G services while preserving LTE performance within the same spectrum resources.

      The low-frequency characteristics of Band 28 also con- tributed to improved coverage and signal penetration, making

      TABLE II: DSS Performance Comparison Across Frequency Bands

      Band

      LTE Throughput (Mbps)

      NR Throughput (Mbps)

      Total Throughput (Mbps)

      Band 28

      168.7

      72.0

      240.7

      Band 1

      63.0

      100.9

      163.9

      Band 3

      189.0

      72.0

      261.0

      it particularly suitable for extending 5G service availability into coverage-limited and indoor environments. The results demonstrate that DSS deployment on low-band spectrum provides an effective mechanism for expanding 5G coverage without requiring additional dedicated spectrum resources.

    2. Band 1 DSS Performance

      To evaluate DSS performance in higher frequency spectrum, testing was conducted on Band 1 operating at 2100 MHz. In this configuration, LTE and NR shared the same carrier bandwidth using the DSS framework and CRS Rate Matching mechanisms.

      The results indicate that the DSS implementation achieved a combined throughput of approximately 163.9 Mbps, consisting of 63 Mbps LTE throughput and 100.9 Mbps NR throughput contribution. User speed test measurements reached approx- imately 131 Mbps. The higher NR throughput contribution observed in Band 1 demonstrates the ability of DSS to effi- ciently allocate resources toward 5G users while maintaining LTE service continuity.

      Although the total throughput was lower than that observed in Band 28, the results confirm successful LTE-NR coexistence and validate the capability of DSS to support 5G deployment across multiple FDD spectrum bands.

    3. Band 3 DSS Performance

    Additional DSS testing was performed on Band 3 operat- ing at 1800 MHz to assess performance within a mid-band frequency layer commonly used for capacity enhancement. Similar to the previous scenarios, LTE and NR services shared the same carrier through dynamic resource allocation and CRS Rate Matching.

    The drive test measurements showed a combined physical layer throughput of approximately 261 Mbps, consisting of

    189 Mbps LTE throughput and 72 Mbps NR throughput contribution. User speed test measurements reached approxi- mately 262 Mbps, representing the highest overall throughput achieved among the DSS deployment scenarios evaluated during the trial.

    The results demonstrate that Band 3 provides an effective balance between coverage and capacity, allowing DSS to de- liver strong LTE performance while simultaneously supporting 5G services. This makes Band 3 an attractive candidate for large-scale DSS deployment in commercial networks.

  8. KPI ANALYSIS

    The KPI analysis was conducted to evaluate the perfor- mance of Dynamic Spectrum Sharing (DSS) across the tested

    frequency bands and to assess the effectiveness of LTE-NR coexistence within shared spectrum resources. The through- put comparison across Band 28, Band 1, and Band 3 is summarized in Table II. The results confirm that DSS suc- cessfully enables simultaneous LTE and NR operation while maintaining stable performance for both technologies. The observed throughput distribution reflects the dynamic resource allocation mechanism employed by DSS, where spectrum resources are shared according to traffic demand and network conditions.

    As shown in Table II, Band 28 achieved a combined throughput of approximately 240.7 Mbps, providing strong coverage-oriented performance and supporting wider 5G ser- vice availability. Band 1 delivered a total throughput of ap- proximately 163.9 Mbps, with a higher NR throughput contri- bution, demonstrating efficient resource allocation toward 5G users. The highest overall throughput was achieved in Band 3, reaching approximately 261 Mbps, highlighting its ability to provide a balanced combination of coverage and capacity within a DSS deployment.

    Although DSS introduces additional overhead due to CRS Rate Matching and resource sharing, the results demonstrate efficient spectrum utilization and successful LTE-NR coexis- tence across all evaluated bands. The findings validate DSS as a practical solution for accelerating 5G deployment using existing LTE spectrum assets while maintaining acceptable throughput performance and service continuity for LTE users.

  9. DISCUSSION

    The trial results demonstrate that Dynamic Spectrum Shar- ing provides a practical balance between deployment flexi- bility and network performance. While DSS introduces some throughput reduction due to CRS Rate Matching and resource- sharing overhead, it enables rapid 5G deployment without spectrum refarming or additional spectrum resources. The findings indicate that low-band DSS deployments are partic- ularly effective for coverage enhancement, whereas mid-band deployments offer improved capacity. Overall, DSS serves as an efficient transition strategy that supports nationwide 5G expansion while maintaining service continuity for LTE users.

  10. CONCLUSION

This paper presented a performance evaluation of 5G Dy- namic Spectrum Sharing in a live commercial network envi- ronment. The results confirmed that DSS successfully enables LTE and NR coexistence within the same spectrum resources while providing enhanced 5G coverage and efficient spectrum utilization. Although dedicated NR deployments deliver higher throughput, DSS offers a scalable and cost-effective solution for accelerating 5G rollout using existing LTE infrastructure. The findings validate DSS as an important technology for supporting the transition from LTE to future standalone 5G networks.

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