Journal
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume 34, Issue 5, Pages 1192-1206Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2016.2551488
Keywords
Cooperation; energy savings; HetNets; stochastic geometry; user-centric clustering
Funding
- National Basic Research Program of China (973 Program) [2012CB316004]
- U.K. Engineering and Physical Sciences Research Council (EPSRC) [EP/K040685/1]
- National Natural Science Foundation of China [61531011]
- EPSRC [EP/K040685/1, EP/K040685/2] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K040685/1, EP/K040685/2] Funding Source: researchfish
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Heterogeneous cellular networks (HetNets) are to be deployed for future wireless communication to meet the ever-increasing mobile traffic demand. However, the dense and random deployment of small cells and their uncoordinated operation raise important concerns about various costs issues, among which notably is energy efficiency. Base station (BS) cooperation is set to play a key role in managing interference in HetNets. In this paper, we consider BS cooperation in the downlink HetNets where BSs from different tiers within the respective cooperative clusters jointly transmit the same data to a typical user, and in particular focus on the optimization of the energy efficiency performance. First, based on a proposed clustering model, we derive the spectral efficiency using tools from stochastic geometry. Furthermore, we formulate a power minimization problem with a minimum spectral efficiency constraint and derive the optimal received signal strength (RSS) thresholds under certain approximation. Building upon these results, we could address the problem of how to design appropriate RSS thresholds, taking into account the tradeoff between spectral efficiency and energy efficiency. Simulations show that the proposed clustering model is more energy-saving than the geometric clustering model, and deploying a multitier HetNet is significantly more energy-saving compared to a macro-only network.
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