Proportional fairness resource allocation scheme based on quantised feedback for multiuser orthogonal frequency division multiplexing system

Abstract

This work addresses the resource allocation problem with the proportional fair constraint condition based on quantised feedback for multiuser orthogonal frequency division multiplexing access system. The resource allocation problem is converted as an optimisation problem with maximising the lower bound of the total average throughput and this formulation provides the low complexity of solving the above resource allocation problem. Tailored for the above optimisation problem, the authors design the codebook of equivalent channel quantisation threshold and the codebook of power and rate according to the equal probability quantiser and the Lagrange multiplier method, respectively. Further, they develop a suboptimal algorithm based on the stochastic approximate method. The proposed algorithm not only satisfies the constraint condition of the proportional fair very well, but also reduces the feedback overhead of the resource allocation result greatly. Moreover, the average throughput of the proposed algorithm is very close to that of the optimal resource allocation algorithm with full feedback when the equivalent channel gain in every subcarrier is quantised by 4 bit.

Energy-Efficient Chance-Constrained Resource Allocation for Multicast Cognitive OFDM Network

“…where BER g k,m is the target bit error rate of the kth CR user over the mth subcarrier in the gth multicast group [15], [16].…”

“…In order to minimize the bias between the output sample Pr i and the estimated value, we define a function, U est pro (x i ), by (14). In addition, the empirical risk C emp (ω, B), which depicts the bias between the output sample Pr i and the estimated value, U est pro (x i ), is defined by (15).…”

“…where ω is the weight vector, B is the bias term, and φ (•) is a mapping function, which is defined by the kernel function, (16). Here, we adopt the radial basis function (17) as…”

Interference Alignment and Fairness Algorithms for MIMO Cognitive Radio Systems

“…Moreover, proportional fairness has been studied in wireless mesh networks in [24] which derived the joint allocation of flow airtimes and coding rates that achieves the proportionally fair throughput allocation. In [25], the resource allocation problem with the proportional fair constraint condition based on quantised feedback for multiuser orthogonal frequency division multiplexing access system has been proposed. Besides, the proportional fair scheduling has been studied under imperfect channel state information (CSI) in [26].…”