Title :
Distributed Power Allocations in Heterogeneous Networks With Dual Connectivity Using Backhaul State Information
Author :
Ahmad, Syed Amaar ; Datla, Dinesh
Author_Institution :
Dept. of Electr. & Comput. Eng, Virginia Tech, Blacksburg, VA, USA
Abstract :
Long Term Evolution (LTE) release 12 proposes the use of dual connectivity in heterogeneous cellular networks, where a user equipment (UE) maintains parallel connections to a macrocell base station and to a low-tier node such as a picocell base station or relay. In this paper, we propose distributed multi-objective power control where each UE independently adapts its transmit power on its dual connections, where the uplinks could be of unequal bandwidth and have non-ideal backhaul links. In the proposed optimization, the UEs dynamically switch between data rate maximization and transmit power minimization as the backhaul load varies. To address the coupling between interference and the backhaul load, we propose a low-overhead convergence mechanism which does not require explicit coordination between UEs and also derive a closed-form expression of the transmit power levels at equilibrium. Simulation results show that our scheme achieves higher aggregate end-to-end data rate and significant power saving in comparison to a scheme that employs a greedy algorithm and a scheme that employs only waterfilling.
Keywords :
Long Term Evolution; distributed control; optimisation; power control; radiofrequency interference; telecommunication control; LTE release 12; Long Term Evolution; backhaul state information; closed form expression; distributed multiobjective power control; distributed power allocations; dual connectivity; dynamic switching; heterogeneous networks; macrocell base station; optimization method; user equipment parallel connections; Bandwidth; Base stations; Interference; Long Term Evolution; Resource management; Uplink; Wireless communication; Cross-layer design; Energy-efficiency; Gaussian interference channel; HetNets; Small cells; cross-layer design; energy-efficiency; small cells;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2015.2422818