- Title
- Joint load balancing and interference management for small-cell heterogeneous networks with limited backhaul capacity
- Creator
- Tam, Ho Huu Minh; Tuan, Hoang Duong; Ngo, Duy Trong; Duong, Trung Q.; Poor, H. Vincent
- Relation
- Funding BodyARCGrant NumberDP130104617 http://purl.org/au-research/grants/arc/DP130104617
- Relation
- IEEE Transactions on Wireless Communications Vol. 16, Issue 2, p. 872-884
- Publisher Link
- http://dx.doi.org/10.1109/TWC.2016.2633262
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2017
- Description
- In this paper, new strategies are devised for joint load balancing and interference management in the downlink of a heterogeneous network, where small cells are densely deployed within the coverage area of a traditional macrocell. Unlike existing work, the limited backhaul capacity at each base station (BS) is taken into account. Here, users (UEs) cannot be offloaded to any arbitrary BS, but only to ones with sufficient backhaul capacity remaining. Jointly designed with traffic offload, transmit power allocation mitigates the intercell interference to further support the quality of service of each UE. The objective here is either: 1) to maximize the network sum rate subject to minimum throughput requirements at individual UEs, or 2) to maximize the minimum UE throughput. Both formulated problems belong to the difficult class of mixed-integer nonconvex optimization problems. The inherently binary BS-UE association variables are strongly coupled with the transmit power variables, making the problems even more challenging to solve. New iterative algorithms are developed based on an exact penalty method combined with successive convex programming, where the binary BS-UE association problem and the nonconvex power allocation problem are dealt with one at a time. At each iteration of the proposed algorithms, only two simple convex problems need to be solved at the same time scale. It is proven that the algorithms improve the objective functions at each iteration and converge eventually. Numerical results demonstrate the efficiency of the proposed algorithms in both traffic offloading and interference mitigation.
- Subject
- interference; throughput; optimization; load management; resource management; quality of service; downlink
- Identifier
- http://hdl.handle.net/1959.13/1399641
- Identifier
- uon:34649
- Identifier
- ISSN:1536-1276
- Rights
- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
- Language
- eng
- Full Text
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