Zhang et al. [6, 7] studied resource allocation to provide quality of service (QoS) for the users with minimum rate or maximum packet delay requirements.
In this paper, we propose a buffer-aware adaptive resource allocation scheme by jointly considering the user scheduling and RBs allocation to provide QoS guarantee in LTE transmission systems.
They considered symmetric traffic for the users and proposed centralized algorithms for joint routing and subchannel allocation, to provide load balance among the cell nodes and fairness among the users.
In this paper, we investigate the joint resource allocation to provide secure information transmission in a five-node cooperative cognitive radio network, which contains a primary transmitter (PT), a primary receiver (PR), a secondary transmitter (ST), a secondary receiver (SR), and an eavesdropper (E).
The proposed scheme is a new approach to space-time-frequency coded OFDM (COFDM) that combines OFDM with space-time coding, linear precoding and adaptive power allocation to provide higher quality of transmission in terms of the bit error rate performance and power efficiency.
Further reasons that were given are the absence of hospital guidelines and a lack of structure (the facility set-up and resource allocation) to provide contraceptive counselling in the context of PAC.
Of course not, but efforts to improve data must be accompanied by ones to improve budgets, to create guidelines for results-based allocations, and to provide ways to get the funding needed to pursue data-driven innovations.
In this article, we propose an adaptive cross-layer bandwidth allocation mechanism to provide per-station and per-flow fairness.
In addition to UCD assignment, reviewers were requested to guess trial arm allocation, and to provide reasons for their guesses.
The smaller Leap Ahead sample was built into the randomization allocation algorithm to provide more power to compare the two active arms.
