Details

Autor(en) / Beteiligte

• Mao, Tingli
• Feng, Gang
• Liang, Liang
• Qin, Shuang
• Wu, Bin

Titel

Distributed Energy-Efficient Power Control for Macro-Femto Networks

Ist Teil von

• IEEE transactions on vehicular technology, 2016-02, Vol.65 (2), p.718-731

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2016

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• Femtocell deployment provides a cost- and energy-saving solution for cellular operators. Although energy efficiency is imperative for green communications, most existing works on femtocells focus on interference mitigation and capacity maximization rather than on energy efficiency. In this paper, we propose two energy-efficient power control (EEPC) schemes for downlink transmissions in multichannel macro-femto networks, namely, gradient-based distributed power control (GDPC) and energy-efficient game-based power control (EGPC). In particular, GDPC maximizes energy efficiency by macro base stations (BS) or femto access points (FAPs) operating in a semi-autonomous mode, with partial derivatives and system power information exchanged periodically between neighboring macro BSs or FAPs. To make the power control completely distributed without inter-BS communications, EGPC is further proposed based on game theory, in which each BS updates its power-allocation strategy to maximize its utility. We theoretically prove the existence and uniqueness of equilibrium of the power control game in EGPC. Simulations are carried out based on realistic channel conditions to verify the analytical results and validate the effectiveness of GDPC and EGPC. It is shown that both GDPC and EGPC can effectively improve the system energy efficiency compared with average power allocation (APA) and another two power control schemes (i.e., a distributed power control algorithm and a noncooperative game) and that EGPC can converge to the equilibrium with better performance.