create company guidelines for the recruitment and retention of individuals from underrepresented groups. This assignment will allow you to research how to effectively change and update the practices that need to be in place to ensure the inclusion of underrepresented groups within an organization. Your submission should provide specific guidelines for recruitment and retention and explain how these ââââââââââââââââââââââguidelines will appeal to the perspective of a diverse workforce.
Sample Solution
The effort for improving the throughput and users fairness has been done by Han, Tao, and Cui (2009), where a user pairing method is introduced for the V-MIMO on the third generation (3G) Long Term Evolution (LTE). The spatial diversity can be rendered by taking into account the large scale and small scale fading. The pairing algorithm which is based on the simplified SNIR-based pairing scheduling (SSNIR-PS) has been proposed to implement the user pairing and improve the fairness of the paired users. The proposed pairing scheduling is aimed to approach the near-optimal throughput performance with lower computational complexity. By assuming two receiver antennas are presented at based station, the user pairing starts by choosing the first user equipment. The first user equipment is selected by performing the scheduling algorithm which is round-robin. Then, the next user equipment that would be paired with the selected first user equipment is based on different criteria. A parameter is set to ensure the relatively fair performance of the selected users in which this parameter considers the large SNIR with the narrowest SNIR gap between paired users. Thus, the user pair that achieves the less difference in SNIR will be selected by the base station. Basically, the user pair is based on the SNIR for each user. The SNIR is chosen as an accurate parameter because it is related to the detection algorithm at the receiver. This research work considers 2Ã2 V-MIMO system, thus, only two users are considered in each group. It is not guaranteed that the proposed scheme is efficient for user pairing because only two users and one group are presented. The discussion on more than two users to be paired using the proposed algorithm is not covered. An effort to achieve a good, balanced performance between the user fairness and system capacity has been discussed in Su et al. (2010). A novel multiuser pairing scheduling is proposed based on the proportional fair scheduling. The proposed scheduling scheme is presented as the Quality of Service (QoS), and the proposed scheduling is presented as (PF-QoS). The proportional fair is selected due to its ability to obtain a balanced performance between maintaining the user fairness and maximizing the system capacity. By providing high data rate, the proportional fairness (PF) will assign the resource to the user and the fairness of user is guaranteed on the average data rate. However, the effort of the multiuser paring process is not discussed in detail. The criteria for each user to be paired remain unclear. A novel algorithm for user-pairing has been introduced by Dhakal & Kim (2010), in which the proposed algorithm is presented for the V-MIMO system. The expression for the output SNR (OSNR) in a V-MIMO system has been derived by utilizing the channel orthogonality. While, the proposed orthogonal user pairing is presented to maximize the average system throughput performance, the computational complexity for the proposed algorithm is based on the independent number of user. The computational complexity tends to reduce when the number of receiver antennas increases. For user pairing methods, the random pairing, orthogonal pairing, capacity crossover pairing and maximal capacity pairing have been discussed. However, this study does not take into account the problems of user pairing and frequency allocation. A user pairing transmission scheme in the uplink Coordinated Multi-point (CoMP) has been proposed by Li et al. (2010). In LTE networks, CoMP has been adopted as one of the promising concepts in increas>
The effort for improving the throughput and users fairness has been done by Han, Tao, and Cui (2009), where a user pairing method is introduced for the V-MIMO on the third generation (3G) Long Term Evolution (LTE). The spatial diversity can be rendered by taking into account the large scale and small scale fading. The pairing algorithm which is based on the simplified SNIR-based pairing scheduling (SSNIR-PS) has been proposed to implement the user pairing and improve the fairness of the paired users. The proposed pairing scheduling is aimed to approach the near-optimal throughput performance with lower computational complexity. By assuming two receiver antennas are presented at based station, the user pairing starts by choosing the first user equipment. The first user equipment is selected by performing the scheduling algorithm which is round-robin. Then, the next user equipment that would be paired with the selected first user equipment is based on different criteria. A parameter is set to ensure the relatively fair performance of the selected users in which this parameter considers the large SNIR with the narrowest SNIR gap between paired users. Thus, the user pair that achieves the less difference in SNIR will be selected by the base station. Basically, the user pair is based on the SNIR for each user. The SNIR is chosen as an accurate parameter because it is related to the detection algorithm at the receiver. This research work considers 2Ã2 V-MIMO system, thus, only two users are considered in each group. It is not guaranteed that the proposed scheme is efficient for user pairing because only two users and one group are presented. The discussion on more than two users to be paired using the proposed algorithm is not covered. An effort to achieve a good, balanced performance between the user fairness and system capacity has been discussed in Su et al. (2010). A novel multiuser pairing scheduling is proposed based on the proportional fair scheduling. The proposed scheduling scheme is presented as the Quality of Service (QoS), and the proposed scheduling is presented as (PF-QoS). The proportional fair is selected due to its ability to obtain a balanced performance between maintaining the user fairness and maximizing the system capacity. By providing high data rate, the proportional fairness (PF) will assign the resource to the user and the fairness of user is guaranteed on the average data rate. However, the effort of the multiuser paring process is not discussed in detail. The criteria for each user to be paired remain unclear. A novel algorithm for user-pairing has been introduced by Dhakal & Kim (2010), in which the proposed algorithm is presented for the V-MIMO system. The expression for the output SNR (OSNR) in a V-MIMO system has been derived by utilizing the channel orthogonality. While, the proposed orthogonal user pairing is presented to maximize the average system throughput performance, the computational complexity for the proposed algorithm is based on the independent number of user. The computational complexity tends to reduce when the number of receiver antennas increases. For user pairing methods, the random pairing, orthogonal pairing, capacity crossover pairing and maximal capacity pairing have been discussed. However, this study does not take into account the problems of user pairing and frequency allocation. A user pairing transmission scheme in the uplink Coordinated Multi-point (CoMP) has been proposed by Li et al. (2010). In LTE networks, CoMP has been adopted as one of the promising concepts in increas>
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