Abstract
The new-generation wireless communication networks are envisioned to offer higher sum data rates along with the required level of fairness. Previous works tend to suffer from a decayed performance as subcarriers become relatively insufficient in allocation to users. To maximize the sum data rates and ensure the required level of proportional fairness, this paper presents a hybrid OFDMA resource allocation scheme which uses Hungarian algorithm combined with a greedy method for subcarrier allocation and uses bee colony optimization for power allocation. The proposed subcarrier allocation scheme can make full use of advantages of both globally optimal Hungarian algorithm in enhancing sum data rates and locally optimal greedy method in maintaining a reasonable fairness level and can make Hungarian algorithm work in a searching mode for further improvement of sum data rates and fairness. The proposed power allocation scheme can converge to the required level of proportional fairness but with higher sum data rates if the subcarrier allocation does not achieve the required fairness. Simulation results show that the proposed scheme can obtain the required level of proportional fairness but with higher sum data rates even if subcarriers are relatively insufficient in allocation to users. Complexity analysis shows the proposed method has moderate complexity.
Highlights
Huge requirements of users for higher data rates along with quality of services (QoS) have led the wireless communication networks to be transformed from 4G to 5G
Resource allocation involved in Orthogonal frequency division multiple access (OFDMA), nonorthogonal multiple access (NOMA), and rate splitting multiple access (RSMA) have been an active research aspect in wireless communication systems, and various techniques such as greedy algorithms, evolutionary algorithms, and artificial intelligent algorithms have been applied for resource allocation [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]
To maximize the sum data rates and ensure the required level of proportional fairness, we propose a hybrid OFDMA resource allocation scheme which uses globally optimal Hungarian algorithm combined with the greedy method similar to [19] for subcarrier allocation and uses bee colony optimization for power allocation
Summary
Huge requirements of users for higher data rates along with quality of services (QoS) have led the wireless communication networks to be transformed from 4G to 5G. Instead of the proportionality of data rates, both the algorithms in [19, 20] used the proportionality of the number of subcarriers as the constraint, thereby obtaining acceptable proportional fairness while higher sum data rate than the algorithm in [13] Both of them are completely based on greedy methods with local optimization. To maximize the sum data rates and ensure the required level of proportional fairness, we propose a hybrid OFDMA resource allocation scheme which uses globally optimal Hungarian algorithm combined with the greedy method similar to [19] for subcarrier allocation and uses bee colony optimization for power allocation. Our work is different from the previous works in the following three aspects Advantages of both globally optimal Hungarian algorithm and locally optimal greedy method are effectively combined to enhance the sum data rate and maintain a reasonable fairness level in subcarrier allocation. E index F will be equal to 1 if the following equation comes into existence: R1: R2: · · · : RK λ1: λ2: · · · : λK
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