“…The successive interference cancelation receiver considered uses the despreading coefficient calculations based on (31). The system value and the energy relationship for the SIC constrained optimization receiver is based on (32).…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Recently, an iterative power adaptation method known as the two-group resource allocation scheme has been developed in [30,31] to load two distinct discrete bit rates over the multi-code downlink channels subject to a constrained total transmission power. The twogroup resource allocation scheme [30,31] is integrated into the system value based power allocation method with the SIC scheme to improve the total downlink bit rate for a single user. In the following section a system model is given for the constrained optimization formulation when maximizing the total rate for multi-code downlink transmissions.…”
Section: Related Study On Optimization Criteriamentioning
confidence: 99%
“…where the MMSE coefficients are calculated using (31). The decoded bit vector is then re-coded and re-modulated to regenerate the transmitted symbol vectorˆ x K .…”
Section: System Value Simplifications Using the Sic Conceptmentioning
confidence: 99%
“…As b p is selected from a discrete set, the total energy, E T may not be fully used as shown in [31]. The use of twogroup allocation was suggested to increase the total rate to R T = (K -m)b p + mb p+1 .…”
Section: The Sic-based Two-group Loading Schemementioning
confidence: 99%
“…To search for the optimum b p and m values, the total number of matrix inversions required in [31] is (P + K -1)I max , where PI max iterations are required to determine b p , while (K -1)I max iterations are required to determine m. The optimum b p is found as follows:…”
Section: The Sic-based Two-group Loading Schemementioning
A successive interference cancelation (SIC) method is developed in this article to improve the performance of the downlink transmission throughput for the current high speed downlink packet access (HSDPA) system. The multicode code division multiplexing spreading sequences are orthogonal at the HSDPA downlink transmitter. However, the spreading sequences loose their orthogonality following transmission through frequency selective multipath channels. The SIC method uses a minimum-mean-square-error (MMSE) equalizer at the receiver to despread multicode signals to restore the orthogonality of the receiver signature sequences. The SIC scheme is also used as part of the resource allocation schemes at the transmitter and for the purpose of interference and inter-symbolinterference cancelation at the receiver. The article proposes a novel system value based optimization criterion to provide a computationally efficient energy allocation method at the transmitter, when using the SIC interference cancelation and MMSE equalizer methods at the receiver. The performance of the proposed MMSE equalizer based on the SIC receiver is significantly improved compared with the existing schemes tested and is very close to the theoretical upper bound which may be achieved under laboratory conditions.
“…The successive interference cancelation receiver considered uses the despreading coefficient calculations based on (31). The system value and the energy relationship for the SIC constrained optimization receiver is based on (32).…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Recently, an iterative power adaptation method known as the two-group resource allocation scheme has been developed in [30,31] to load two distinct discrete bit rates over the multi-code downlink channels subject to a constrained total transmission power. The twogroup resource allocation scheme [30,31] is integrated into the system value based power allocation method with the SIC scheme to improve the total downlink bit rate for a single user. In the following section a system model is given for the constrained optimization formulation when maximizing the total rate for multi-code downlink transmissions.…”
Section: Related Study On Optimization Criteriamentioning
confidence: 99%
“…where the MMSE coefficients are calculated using (31). The decoded bit vector is then re-coded and re-modulated to regenerate the transmitted symbol vectorˆ x K .…”
Section: System Value Simplifications Using the Sic Conceptmentioning
confidence: 99%
“…As b p is selected from a discrete set, the total energy, E T may not be fully used as shown in [31]. The use of twogroup allocation was suggested to increase the total rate to R T = (K -m)b p + mb p+1 .…”
Section: The Sic-based Two-group Loading Schemementioning
confidence: 99%
“…To search for the optimum b p and m values, the total number of matrix inversions required in [31] is (P + K -1)I max , where PI max iterations are required to determine b p , while (K -1)I max iterations are required to determine m. The optimum b p is found as follows:…”
Section: The Sic-based Two-group Loading Schemementioning
A successive interference cancelation (SIC) method is developed in this article to improve the performance of the downlink transmission throughput for the current high speed downlink packet access (HSDPA) system. The multicode code division multiplexing spreading sequences are orthogonal at the HSDPA downlink transmitter. However, the spreading sequences loose their orthogonality following transmission through frequency selective multipath channels. The SIC method uses a minimum-mean-square-error (MMSE) equalizer at the receiver to despread multicode signals to restore the orthogonality of the receiver signature sequences. The SIC scheme is also used as part of the resource allocation schemes at the transmitter and for the purpose of interference and inter-symbolinterference cancelation at the receiver. The article proposes a novel system value based optimization criterion to provide a computationally efficient energy allocation method at the transmitter, when using the SIC interference cancelation and MMSE equalizer methods at the receiver. The performance of the proposed MMSE equalizer based on the SIC receiver is significantly improved compared with the existing schemes tested and is very close to the theoretical upper bound which may be achieved under laboratory conditions.
This paper presents a time-efficient optimal resource allocation algorithm aiming to maximize the system throughput of the single-user High Speed Downlink Packet Access (HSDPA) deployed in a femtocell base station. The system throughput maximization with constrained total power is formulated as a constrained integer programming problem. We first prove that a two-group bit and energy allocation provides the global optimum solution in the system without multipath. We then focus on the use of the two-group allocation method over frequency selective channels. A pre-processing method was used to systematically cluster and remove channels to prevent using energies over severely degraded channels with the two-group allocation approach. This improves the system throughput whilst greatly reducing the computation complexity. The proposed twogroup approach with channel removal is suitable for femtocell base station with limited signal processing capability.
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