Computer-implemented method for optimizing signal reception in a cellular communications network with a plurality of antennas for communicating with terminals, the method comprising the following steps: - providing a set S of candidate sites s and a set D of candidate antenna configurations, CAC, considered for placement of one or more antennas at the candidate sites s; - providing a set P of pixels p, each pixel p corresponding to a geographic location within a service area for which signal reception should be optimized; - pre-selecting a set B p of candidate best servers, CBS, for each pixel p based on an expected radio signal strength for a terminal at the geographic location corresponding to the respective pixel p, each set B p comprising zero or more CBS corresponding to one of the candidate sites s and one of the CAC, comprising selecting candidate servers complying with a predefined first coverage criterion for the corresponding pixel p as CBS; and - determining a set of proposed servers, comprising: - providing a quadratic unconstrained binary optimization, QUBO, function comprising at least a first polynomial term H SNR, and a second polynomial term H one_best_server, the first polynomial term H SNR and the second polynomial term H one_best_server being expressed in terms of binary decision variables; and - optimizing the QUBO function using a quantum concept processor, QCP, by varying the binary decision variables to determine the set of proposed servers; wherein - the first polynomial term H SNR expresses the objective function of the QUBO indicative of an optimized aggregated signal-to-noise ratio, SNR, computed for all pixels p in case all of the proposed servers of the set are built at the corresponding candidate sites s with the corresponding CAC, and - the second polynomial term H one_best_server, is a penalty term expressing a first restriction requiring that, from each set B p of CBS, at most a single CBS should be selected and included in the set of proposed servers. - providing a set S of candidate sites s and a set D of candidate antenna configurations, CAC, considered for placement of one or more antennas at the candidate sites s; - providing a set P of pixels p, each pixel p corresponding to a geographic location within a service area for which signal reception should be optimized; - pre-selecting a set B p of candidate best servers, CBS, for each pixel p based on an expected radio signal strength for a terminal at the geographic location corresponding to the respective pixel p, each set B p comprising zero or more CBS corresponding to one of the candidate sites s and one of the CAC, comprising selecting candidate servers complying with a predefined first coverage criterion for the corresponding pixel p as CBS; and - determining a set of proposed servers, comprising: - providing a quadratic unconstrained binary optimization, QUBO, function comprising at least a first polynomial term H SNR, and a second polynomial term H one_best_server, the first polynomial term H SNR and the second polynomial term H one_best_server being expressed in terms of binary decision variables; and - optimizing the QUBO function using a quantum concept processor, QCP, by varying the binary decision variables to determine the set of proposed servers; wherein - the first polynomial term H SNR expresses the objective function of the QUBO indicative of an optimized aggregated signal-to-noise ratio, SNR, computed for all pixels p in case all of the proposed servers of the set are built at the corresponding candidate sites s with the corresponding CAC, and - the second polynomial term H one_best_server, is a penalty term expressing a first restriction requiring that, from each set B p of CBS, at most a single CBS should be selected and included in the set of proposed servers. - providing a quadratic unconstrained binary optimization, QUBO, function comprising at least a first polynomial term H SNR, and a second polynomial term H one_best_server, the first polynomial term H SNR and the second polynomial term H one_best_server being expressed in terms of binary decision variables; and - optimizing the QUBO function using a quantum concept processor, QCP, by varying the binary decision variables to determine the set of proposed servers; wherein - the first polynomial term H SNR expresses the objective function of the QUBO indicative of an optimized aggregated signal-to-noise ratio, SNR, computed for all pixels p in case all of the proposed servers of the set are built at the corresponding candidate sites s with the corresponding CAC, and - the second polynomial term H one_best_server, is a penalty term expressing a first restriction requiring that, from each set B p of CBS, at most a single CBS should be selected and included in the set of proposed servers.