Abstract
Dynamic spectrum sharing can provide many benefits to wireless networks operators. However, its efficiency requires sophisticated control mechanisms. The more context information is used by it, the higher performance of networks is expected. A facility for collecting this information, processing it, and controlling base stations managed by various network operators is a so‐called Radio Environment Map (REM) subsystem. This paper proposes REM‐based schemes for the allocation of base stations power levels in 4G/5G networks, while considering interference generated to a licensed network. It is assumed that both networks have different profiles of served users, e.g., area of their positions and movement, which opens opportunities for spectrum sharing. The proposed schemes have been evaluated by means of extensive system‐level simulations and compared with two widely adopted policy‐based spectrum sharing reference schemes. Simulation results show that dynamic schemes utilizing rich context information outperforms static, policy‐based spectrum sharing schemes.
Highlights
Following the well-known adage saying that “the more you have, the more you want”, enduser expectations regarding the offered network capacity are continuously growing
This paper proposes Radio Environment Map (REM)-based schemes for the allocation of base stations power levels in 4G/5G networks, while considering interference generated to a licensed network
This observation is confirmed by numerous forecasts – they clearly indicate that global mobile traffic will continue to grow in the context of future wireless networks and will reach extremely high levels of peta or even exabytes per month
Summary
Following the well-known adage saying that “the more you have, the more you want”, enduser expectations regarding the offered network capacity are continuously growing. In order to allow a fair comparison of different scenarios, the protection belt margin Γ used in “Semi-static, REM-based protection” has to be fixed It is done by running simulations for Γ={-50, -40, -30, -20, -10, -3, 0} and finding outdoor UEs 10th percentile rate that is decreased by about 10 % in comparison with the case of no indoor BS-originating interference. It is visible that all REM-based schemes provide a similar level of outdoor UE protection, resulting in about 5% degradation of the 10th percentile user mean rate in comparison to the indoor transmission being turned off. The rate achieved in semi-static protection with a known protection area is higher than in the basic semi-static, REM-based protection This is thanks to the knowledge about the possible location of outdoor UEs during indoor BSs power allocation. More detailed interference reports allow the algorithm to converge faster to the optimal solution
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