Effect of cluster rotation speed in coordinated heterogeneous MIMO cellular networks with proportionally fair user scheduling

Purmehdi, Hakimeh; Elliott, Robert C.; Krzymien, W.A.; Melzer, Jordan

doi:10.1109/acssc.2014.7094781

Cited by 2 publications

(7 citation statements)

References 18 publications

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“…Naturally, enforcing fairness in the system reduced average per-user rates for the highest throughput users under MT scheduling. We also evaluated the effect of different cluster rotation speeds on the system performance under PF scheduling in [20]. The results demonstrated that faster rotation in general performed better than slow rotation.…”

Section: Introductionmentioning

confidence: 98%

“…Additionally, compared to [19,20], we have revised some of the simulation parameters in this paper to correspond to recommendations in [32,33]. These include the values of the path loss exponent and the standard deviation of shadow fading for macro and pico BSs, along with their transmitted power levels.…”

Section: Introductionmentioning

confidence: 99%

“…It was shown in [35] that this method achieves performance close to that of an exhaustive search with much lower complexity, making its continued use in this context reasonable. The SAS algorithm in [19] was memoryless, while in [20], we added memory to the algorithm to further improve its performance. We have made additional refinements to the SAS algorithm in [35]; it is that version (adapted for weighted sum rates) that we use in this work.…”

Section: Introductionmentioning

confidence: 99%

“…We are interested to know whether the results in [19,20] can be generalized into other types of network layouts and/or larger sets of possible cluster patterns, and how the rotating cluster patterns can be modified for those other layouts. This generalization aspect is quite important; cluster rotation would not be nearly so useful, if it only worked for a certain type of network layout.…”

Section: Introductionmentioning

confidence: 99%

“…The macro BSs in [19,20] were each equipped with one out of six sets (per site) of antenna arrays, with each set covering a cell; the hexagonal-shaped macro site coverage area thus was divided into six cells 1 . We are interested to know whether the results in [19,20] can be generalized into other types of network layouts and/or larger sets of possible cluster patterns, and how the rotating cluster patterns can be modified for those other layouts.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Rotating cluster mechanism for coordinated heterogeneous MIMO cellular networks

Purmehdi

Elliott

Krzymien

et al. 2018

J Wireless Com Network

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To increase the average achievable rates per user for cluster-edge users, a rotating clustering scheme for the downlink of a coordinated multicell multiuser multiple-input multiple-output system is proposed in this paper and analyzed in two network layouts. In the multicell heterogeneous cellular network, base stations of a cluster cooperate to transmit data signals to the users within the cluster; rotating cluster patterns enable all users to be nearer the cluster center in at least one of the patterns. Considering cellular layouts with three or six macrocells per site, different rotating patterns of clusters are proposed and the system performance with the proposed sets of clustering patterns is investigated using a simulated annealing algorithm for user scheduling and successive zero-forcing dirty paper coding as the precoding method. The rotating clustering scheme is less complex than fully dynamic clustering, and it is primarily designed to improve the throughput of cluster-edge users. As an extra secondary benefit, it is also capable of slightly improving the average achievable sum rate of the network overall. The effectiveness of the proposed methods with two different scheduling metrics, namely throughput maximization and proportionally fair scheduling, is of interest in this work. Moreover, the speed of rotation affects the performance of the system; the higher the speed of rotation, the more frequently any specific users will be nearer the cluster center. Our simulations demonstrate the effectiveness of the proposed rotational approach and determine the speed of rotation beyond which any additional performance gains become negligible.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%