Title | ||
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Joint Precoding and Load Balancing Optimization for Energy-Efficient Heterogeneous Networks |
Abstract | ||
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This paper considers a downlink heterogeneous network, where different types of multi-antenna base stations (BSs) communicate with a number of single-antenna users. Multiple BSs can serve the users by spatial multiflow transmission techniques. Assuming imperfect channel state information at both BSs and users, the precoding, load balancing, and BS operation mode are jointly optimized for improving the network energy efficiency. We minimize the weighted total power consumption while satisfying quality of service constraints at the users. This problem is non-convex, but we prove that for each BS mode combination, the considered problem has a hidden convexity structure. Thus, the optimal solution is obtained by an exhaustive search over all possible BS mode combinations. Furthermore, by iterative convex approximations of the non-convex objective function, a heuristic algorithm is proposed to obtain a suboptimal solution of low complexity. We show that although multi-cell joint transmission is allowed, in most cases, it is optimal for each user to be served by a single BS. The optimal BS association condition is parameterized, which reveals how it is impacted by different system parameters. Simulation results indicate that putting a BS into sleep mode by proper load balancing is an important solution for energy savings. |
Year | DOI | Venue |
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2015 | 10.1109/TWC.2015.2443044 | IEEE Trans. Wireless Communications |
Keywords | Field | DocType |
Energy efficiency, heterogeneous networks, load balancing, precoding design | Load management,Mathematical optimization,Brute-force search,Load balancing (computing),Heuristic (computer science),Heterogeneous network,Sleep mode,Precoding,Mathematics,Telecommunications link | Journal |
Volume | Issue | ISSN |
PP | 99 | 1536-1276 |
Citations | PageRank | References |
10 | 0.50 | 43 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jingya Li | 1 | 192 | 17.01 |
Emil Björnson | 2 | 3446 | 171.49 |
Tommy Svensson | 3 | 1048 | 76.22 |
Thomas Eriksson | 4 | 51 | 8.30 |
Mérouane Debbah | 5 | 8575 | 477.64 |