M
Mazin Al-Shalash
Researcher at Huawei
Publications - 50
Citations - 3380
Mazin Al-Shalash is an academic researcher from Huawei. The author has contributed to research in topics: Scheduling (computing) & Node (networking). The author has an hindex of 18, co-authored 50 publications receiving 3237 citations. Previous affiliations of Mazin Al-Shalash include University of Texas at Austin.
Papers
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Journal ArticleDOI
User Association for Load Balancing in Heterogeneous Cellular Networks
Ye Qiaoyang,Beiyu Rong,Yudong Chen,Mazin Al-Shalash,Constantine Caramanis,Jeffrey G. Andrews +5 more
TL;DR: In this paper, the authors provide a low-complexity distributed algorithm that converges to a near-optimal solution with a theoretical performance guarantee, and observe that simple per-tier biasing loses surprisingly little, if the bias values Aj are chosen carefully.
Posted Content
User Association for Load Balancing in Heterogeneous Cellular Networks
Ye Qiaoyang,Beiyu Rong,Yudong Chen,Mazin Al-Shalash,Constantine Caramanis,Jeffrey G. Andrews +5 more
TL;DR: A low-complexity distributed algorithm that converges to a near-optimal solution with a theoretical performance guarantee is provided, and it is observed that simple per-tier biasing loses surprisingly little, if the bias values Aj are chosen carefully.
Patent
System and method for distributed power control in a communications system
TL;DR: In this paper, an embodiment method for power control in a multi-hop communications system includes transmitting a power usage pattern for each relay node in a subset of relay nodes served by a communications controller.
Journal ArticleDOI
Optimizing Content Caching to Maximize the Density of Successful Receptions in Device-to-Device Networking
TL;DR: This paper uses results from stochastic geometry to derive the probability of successful content delivery in the presence of interference and noise, and develops strategies to optimize content caching for the more general case with multiple files, and bound the DSR for that scenario.
Journal ArticleDOI
Distributed resource allocation in device-to-device enhanced cellular networks
TL;DR: In this article, the authors adopt a distributed approach that is computationally extremely efficient, and requires minimal coordination, communication and cooperation among the nodes, and achieve a significant throughput gain, while maintaining the quality of cellular links at a predefined service level.