Fairness-aware radio resource management in downlink OFDMA cellular relay networks

Abstract

Abstract-Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. Although distributed schemes are more attractive, it is essential to seek outstanding performance benchmarks to which various decentralized schemes can be compared. Therefore, this paper provides a comprehensive centralized RRM algorithm for downlink OFDMA cellular fixed relay networks in a way to ensure user fairness with minimal impact on network throughput. In contrast, it has been observed that pure opportunistic schemes and fairness-aware schemes relying solely on achievable and allocated capacities may not attain the desired fairness, e.g., proportional fair scheduling. The proposed scheme is queueaware and performs three functions jointly; dynamic routing, fair scheduling, and load balancing among cell nodes. We show that the proposed centralized scheme is different from the traditional centralized schemes in terms of the substantial savings in complexity and feedback overhead.

Dynamic Joint Resource Optimization for LTE-Advanced Relay Networks

“…Other queue-length based scheduling strategies can be found in [22]- [24]. However, the UE is allowed simultaneous reception from multiple RNs in [22], which is not supported in the LTE-Advanced Standard; [23] only focuses on the out-band relaying scheme, without considering the power allocation; In [24], without considering power adaption, equal subframe is allocated to the backhaul link and the access link in the Type 1 inband relaying scheme, leading to a sub-optimal solution.…”

QoS-aware scheduling with optimization of base-station power allocation in downlink cooperative OFDMA systems

“…Therefore, the optimal (X n ) * that maximizing (14) can be obtained by (15). As a result, the calculation of (X n ) * can be cast as finding the maximal element in A n .…”

“…These problems are generally studied in [7][8][9][10][11][12][13][14][15]. In these works, quality of service (QoS) guarantees are not considered.…”

A Service‐Oriented Approach for Radio Resource Management in Virtual RANs

“…Economic models for pricing based on optimising an objective function have been proposed with the purpose of balancing network throughput and users' fairness as two competing interests [11]. Among the available mechanisms, proportional fairness has proved to be an effective approach when the objective is to maximise the average long-term users' data rate [12,13].…”