Kepler L's Library tagged power-control →  View Popular

Multi-cell uplink-downlink beamforming throughput duality based on Lagrangian duality with per-base station power constraints

On capacity of cognitive radio networks with average interference power constraints

Cheng-Xiang Wang  

Xuemin Hong  

Hsiao-Hwa Chen  

Thompson, J.  


Joint Res. Inst. for Signal & Image Process., Heriot-Watt Univ., Edinburgh;

This paper appears in: Wireless Communications, IEEE Transactions on



Publication Date: April 2009


Volume: 8, 

Issue: 4



On page(s): 1620-1625





ISSN: 1536-1276


INSPEC Accession Number: 10627523


Digital Object Identifier: 10.1109/TWC.2009.071075


<!--Start 2.5.3 code-->

Current Version Published: 2009-05-02



<!--End 2.5.3 code-->

Abstract

Cognitive radio (CR) has been considered as a promising technology to improve the spectrum utilization. In this paper we analyze the capacity of a CR network with average received interference power constraints. Under the assumptions of uniform node placements and a simple power control scheme, the maximum transmit power of a target CR transmitter is characterized by its cumulative distribution function (CDF). We study two CR scenarios for future applications. The first scenario is called the CR based central access network, which aims at providing broadband access to CR devices. In the second scenario, the so-called CR assisted virtual multiple-input multiple-output (MIMO) network, CR is used to improve the access capability of a cellular system. The uplink ergodic channel capacities of both scenarios are derived and analyzed with an emphasis on understanding the impact of numbers of primary users and CR users on the capacity. Numerical and simulation results suggest that the CR based central access network is more suitable for less-populated rural areas where a relatively low density of primary receivers is expected; while the CR assisted virtual MIMO network performs better in urban environments with a dense population of mobile CR users.

John M. Cioffi

Joint power control and user scheduling in multicell wireless networks: Capacity scaling laws

Power control in distributed cooperative OFDMA cellular networks

Pischella, M.  

Belfiore, J.-C.  


R&D Div., France Telecom, Issy-les-Moulineaux;

This paper appears in: Wireless Communications, IEEE Transactions on



Publication Date: May 2008


Volume: 7, 

Issue: 5, Part 2



On page(s): 1900-1906





ISSN: 1536-1276


INSPEC Accession Number: 9999468


Digital Object Identifier: 10.1109/TWC.2008.061039


<!--Start 2.5.3 code-->

Current Version Published: 2008-05-20



<!--End 2.5.3 code-->

Abstract

This paper addresses downlink cooperation at a system level. Cooperation between base stations is an alternative to macrodiversity to provide QoS continuity in case of mobility. We propose a radio resource management strategy for the relay channel, made of relayed users identification, resource allocation and power control in an OFDMA-based system. Four scheduling methods are tested for power allocation in inter-cell interference environment: globally optimal, proportional fair, harmonic mean fair and max-min fair. Cooperation brings additional gain, both in terms of throughput and fairness, with all fair schedulers.

Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels

Subcarrier allocation and bit loading algorithms for OFDMA-based wireless networks

assigning subcarriers and bits to point-to-point wireless links in the presence of cochannel interference and Rayleigh fading.

Joint optimal power control and beamforming in wireless networksusing antenna arrays

Adaptive modulation, power allocation and control for OFDM wirelessnetworks

Power minimization for multi-cell OFDM networks using distributed non-cooperative game approach

Power minimization for multi-cell OFDM networks using distributed non-cooperative game approach

Distributed autonomous wireless channel assignment algorithm withpower control

Energy Efficient Design in Wireless OFDMA

Autonomous Dynamic Power Control for Wireless Networks: User-Centric and Network-Centric Consideration

Uplink Adaptive Resource Allocation Mitigating Inter-Cell Interference Fluctuation for Future Cellular Systems

Minghai Feng  

Lan Chen  

Xiaoming She  


DoCoMo Beijing-Labs, Beijing;

Distributed Power Allocation with Rate Constraints in Gaussian Parallel Interference Channels

Results 201 - 250 of about 690 citing Foschini: A simple distributed autonomous power control algorithm and itsconvergence.

Distributed power control for time varying systems: performance and convergence analysis

Noncooperative power-control game and throughput game over wireless networks

Distributed approaches for exploiting multiuser diversity in wireless networks