Robust & Efficient Power Management Technique For MIMO Network Interfaces

Abstract-In this paper we proposes a new methodology called as "Antenna Management" , which provides a high degree of efficient use of power and power management in high speed wireless networks and high data rate mobile wireless systems. This technique is particularly very usefully in the case of MIMO network interfaces, which contains a number of components and as well as RF chains. The objective of this project is to efficiently manage the available power among the large number of antennas in MIMO systems, and also satisfies all the requirements of MIMO like bit error rate, data rate, minimize energy per bit etc..In this paper we provide a systematic procedure to validate the energy efficiency and benefits of proposed method i.e. Antenna Management. Finally using this paper we provide a great solution for Power requirements by efficiently and effectively managing the all active antennas in MIMO systems

Dynamic time and power allocation for opportunistic energy efficient cooperative relay.

Exponential growth in power consumption of wireless communication devices and lack of progress in battery capacity are increasing pressure for more energy efficient (EE) wireless networks. This paper presents an algorithm for optimum EE time allocation for two cooperative relay selection schemes: opportunistic decode-and- forward (ODF) and opportunistic energy efficiency (OEE) with and without rate constraint. By dynamically optimising transmission time between source and relay it is possible to simultaneously improve EE and minimise capacity loss. Simulation in a multi-user scenario with randomly distributed number and location of cooperative nodes demonstrates the algorithm's effectiveness for improving network performance and applicability to both dynamic and static networks. Results imply a unique globally optimum time and power allocation dependent on relay position

Improving Energy Efficiency Through Multimode Transmission in the Downlink MIMO Systems

Adaptively adjusting system parameters including bandwidth, transmit power and mode to maximize the "Bits per-Joule" energy efficiency (BPJ-EE) in the downlink MIMO systems with imperfect channel state information at the transmitter (CSIT) is considered in this paper. By mode we refer to choice of transmission schemes i.e. singular value decomposition (SVD) or block diagonalization (BD), active transmit/receive antenna number and active user number. We derive optimal bandwidth and transmit power for each dedicated mode at first. During the derivation, accurate capacity estimation strategies are proposed to cope with the imperfect CSIT caused capacity prediction problem. Then, an ergodic capacity based mode switching strategy is proposed to further improve the BPJ-EE, which provides insights on the preferred mode under given scenarios. Mode switching compromises different power parts, exploits the tradeoff between the multiplexing gain and the imperfect CSIT caused inter-user interference, improves the BPJ-EE significantly.Comment: 19 pages, 10 figures, EURASIP Journal on Wireless Communications and Networking; EURASIP Journal on Wireless Communications and Networking (2011) 2011:20