An enhanced proportional fair scheduling algorithm to maximize QoS traffic in downlink OFDMA systems

Buffer-aware adaptive resource allocation scheme in LTE transmission systems

“…However, it is pointed out in [19] that although PF metric (2) is more responsive to the queues than PF metric(1), it incurs a reduced system throughput because its isolated RB assignment strategy may assign the RB to a user having low channel quality. Similar work related to PF scheduling in LTE systems can also be found in [20,21] and [22]. By considering both fairness and the constraint of finite buffer space, a channel-adapted and buffer-aware (CABA) packet scheduling algorithm is proposed in [23].…”

“…The better channel condition of an RB implies a higher achievable RB capacity. Different RBs may have distinct channel conditions [20]. The smallest resource unit that can be allocated to a user is a scheduling block (SB), which consists of two consecutive RBs [25,26].…”

“…According to (20), estimating the overflow probability requires the values of g k , c k , and π k i . It is easy to calculate g k according to (14).…”

“…The above steps assist us to derive the online measurement-based method to estimate the queue overflow probability P t+T k overflow based on (20) in the (t + T) slot, by setting T to a moderate value in a practical application. The experimental results show that T ≥ 60 is appropriate.…”

“…Hence, the queue overflow might still occur. Since we have g k >ĉ k , the queue overflow remains a rare event, and the queue overflow probability in the (t + T) slot, P t+T k overflow , can be approximated by (20).…”