“…A two-layer APS algorithm with different strategies for fine-tuning was proposed in [19], either decreasing the number of UEs per AP, without decreasing the system SE or maintaining the energy efficiency (EE). In the first layer, each UE connects to an intermediate AP based on the LSF coefficient, preventing the signal from dropping, and in the second layer, each UE expands its cluster by connecting to more APs to increase the SE.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…The expression is applied to perform slow APS using a simple methodology that aims to increase each UE average SINR, which differs from of the fast APS proposed in [8], [10]- [12], to secure low backhaul capacity requirement. Furthermore, differently from the works that used the LSF to perform slow APS [13]- [19], the usage of the SINR for AP to UE assignment incorporates information about three different characteristics simultaneously: the interference, the noise, and the signal powers. Thus, the proposed APS may present an improved behavior for real scenarios.…”
Section: B Contributionsmentioning
confidence: 99%
“…Additionally, if close enough UEs are served by the same AP, high interference levels may be experienced by each other. Thus, a proper technique to assign APs to UEs must be applied to improve the system performance by decreasing the multiuser interference [8], [10]- [19].…”
Section: Introductionmentioning
confidence: 99%
“…The slow AP to UE assignment performs APS within the time in which the largescale fading (LSF) remains constant, which is assumed to vary slowly compared to the small-scale fading (SSF). In this strategy, the APS focuses on maximizing, for example, the average system SE, but may fail to attain it if the channel VOLUME 11, 2023 varies suddenly [13]- [19]. In the fast APS, the AP to UE assignment is performed on the SSF coherence time, so, whenever it varies, the system must be able to adjust the selected APs for each UE [8], [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
“…As in slow APS, the assignment is performed on the LSF coherence time, in this approach, the computational cost decreases, sometimes at the expense of rate gains. In this context, several works analyzed different ways to perform AP selection to increase the system performance [8], [13], [14], [16], [18], [19].…”
The cell-free (CF) systems are a key technology for future wireless networks, which exploit the scenario spatial macro-diversity to offer high channel capacity and link reliability, uniform user quality of service (QoS), and better coverage. A technique for access point selection (APS) must be applied to improve the use of the macro-diversity. This paper proposes a low-complexity APS technique based on the derived signal-to-interference-plus-noise ratio (SINR) theoretical expression. Additionally, to increase the system's spectral efficiency (SE), an expression for the bit error probability (BEP) of the generic square M m -ary quadrature amplitude modulation (M m -QAM) scheme for each user is proposed and applied to an adaptive modulation (AM) algorithm. The results revealed that the proposed APS technique outperforms techniques with similar simplicity and that the AM algorithm provides higher system SE maintaining the error rate below a given threshold.INDEX TERMS Access point selection, adaptive modulation, bit error probability, cell-free, spectral efficiency.
“…A two-layer APS algorithm with different strategies for fine-tuning was proposed in [19], either decreasing the number of UEs per AP, without decreasing the system SE or maintaining the energy efficiency (EE). In the first layer, each UE connects to an intermediate AP based on the LSF coefficient, preventing the signal from dropping, and in the second layer, each UE expands its cluster by connecting to more APs to increase the SE.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…The expression is applied to perform slow APS using a simple methodology that aims to increase each UE average SINR, which differs from of the fast APS proposed in [8], [10]- [12], to secure low backhaul capacity requirement. Furthermore, differently from the works that used the LSF to perform slow APS [13]- [19], the usage of the SINR for AP to UE assignment incorporates information about three different characteristics simultaneously: the interference, the noise, and the signal powers. Thus, the proposed APS may present an improved behavior for real scenarios.…”
Section: B Contributionsmentioning
confidence: 99%
“…Additionally, if close enough UEs are served by the same AP, high interference levels may be experienced by each other. Thus, a proper technique to assign APs to UEs must be applied to improve the system performance by decreasing the multiuser interference [8], [10]- [19].…”
Section: Introductionmentioning
confidence: 99%
“…The slow AP to UE assignment performs APS within the time in which the largescale fading (LSF) remains constant, which is assumed to vary slowly compared to the small-scale fading (SSF). In this strategy, the APS focuses on maximizing, for example, the average system SE, but may fail to attain it if the channel VOLUME 11, 2023 varies suddenly [13]- [19]. In the fast APS, the AP to UE assignment is performed on the SSF coherence time, so, whenever it varies, the system must be able to adjust the selected APs for each UE [8], [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
“…As in slow APS, the assignment is performed on the LSF coherence time, in this approach, the computational cost decreases, sometimes at the expense of rate gains. In this context, several works analyzed different ways to perform AP selection to increase the system performance [8], [13], [14], [16], [18], [19].…”
The cell-free (CF) systems are a key technology for future wireless networks, which exploit the scenario spatial macro-diversity to offer high channel capacity and link reliability, uniform user quality of service (QoS), and better coverage. A technique for access point selection (APS) must be applied to improve the use of the macro-diversity. This paper proposes a low-complexity APS technique based on the derived signal-to-interference-plus-noise ratio (SINR) theoretical expression. Additionally, to increase the system's spectral efficiency (SE), an expression for the bit error probability (BEP) of the generic square M m -ary quadrature amplitude modulation (M m -QAM) scheme for each user is proposed and applied to an adaptive modulation (AM) algorithm. The results revealed that the proposed APS technique outperforms techniques with similar simplicity and that the AM algorithm provides higher system SE maintaining the error rate below a given threshold.INDEX TERMS Access point selection, adaptive modulation, bit error probability, cell-free, spectral efficiency.
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