Title :
Optimal Discrete Power Control in Poisson-Clustered Ad Hoc Networks
Author :
Chun-Hung Liu ; Beiyu Rong ; Shuguang Cui
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
Power control in a digital handset is practically implemented in a discrete fashion, and usually, such a discrete power control (DPC) scheme is suboptimal. In this paper, we first show that in a Poison-distributed ad hoc network, if DPC is properly designed with a certain condition satisfied, it can strictly work better than no power control (i.e., users use the same constant power) in terms of average signal-to-interference ratio, outage probability, and spatial reuse. This motivates us to propose an N-layer DPC scheme in a wireless clustered ad hoc network, where transmitters and their intended receivers in circular clusters are characterized by a Poisson cluster process on the plane ℝ2. The cluster of each transmitter is tessellated into N-layer annuli with transmit power Pi adopted if the intended receiver is located at the ith layer. Two performance metrics of transmission capacity (TC) and outage-free spatial reuse factor are redefined based on the N-layer DPC. The outage probability of each layer in a cluster is characterized and used to derive the optimal power scaling law Pi ∈ Θ(ηi-(α/2)), with ηi as the probability of selecting power Pi and α as the path loss exponent. Moreover, the specific design approaches to optimize Pi and N based on ηi are also discussed. Simulation results indicate that the proposed optimal N-layer DPC significantly outperforms other existing power control schemes in terms of TC and spatial reuse.
Keywords :
ad hoc networks; probability; stochastic processes; N-layer DPC scheme; Poisson-clustered ad hoc networks; TC; optimal discrete power control; outage probability; outage-free spatial reuse factor; transmission capacity; wireless clustered ad hoc network; Ad hoc networks; Fading; Interference; Power control; Receivers; Transmitters; Wireless communication; Discrete power control; Poisson cluster process; stochastic geometry; transmission capacity;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2014.2334330