MIMO

power for Multi-user Orthogonal frequency division Multiplexing (OFDM), Multiple-Input Multiple-Output (MIMO) is to consider for reducing the transmission power in cellular BS. The optimal transmitter antenna is used for MIMO in depends on Signal to Noise Ratio (SNR). In another RRM energy saving mechanism is Discontinuous transmission (DTX) and antenna adaptation (AA), the AA is adapt in MIMO resource allocation problem. The D2D communication proposed spectrum sharing protocol for allows bi-directional

Firstly proposed 107-Gb/s coherent optical OFDM (CO-OFDM) transmission over a 4.5-km two-mode fiber using LP01 and LP11 modes. Secondly proposed 58.8-Gb/s CO-OFDM transmission using dual modes where the mode separation is achieved via 4× 4 electronic MIMO

Firstly proposed 107-Gb/s coherent optical OFDM (CO-OFDM) transmission over a 4.5-km two-mode fiber using LP01 and LP11 modes. Secondly proposed 58.8-Gb/s CO-OFDM transmission using dual modes where the mode separation is achieved via 4× 4 electronic MIMO processing [10].

Radio Techniques to enable energy- efficient wireless network Pramod Kumar Rapolu Vikas Reddy Bontha SIU #853243613 SIU#853245274 Department of Electrical and Computer Engineering Southern Illinois University Carbondale Abstract—In the recent times, researches show that all wireless networks are not energy–efficient than what we expect to be, especially the base stations through which the terminal access takes place. In order to overcome and solve this problem Mobile

the cooperative relaying nodes for upgrading performance of the system. Golden coded has also been incorporated in IEEE 802.16 (Wi-MAX) standard as a full rate full diversity space-time code and proven to present a ranking performance in a wireless MIMO (Multiple Input Multiple Output) scenario than any other code. At the receiver, maximum likelihood detection of different symbol is achieved through decoupling of the signal transmit from different antenna rather than joint detection. In this paper

Long Term Evolution (LTE) to provide higher data rates to end users by improving spectral efficiency, deploying more base stations, and/or aggregating more spectra. While some of the LTE enhancements, such as advanced multiple-input multiple-output (MIMO), Coordinated multipoint (CoMP), heterogeneous networks (HetNets), and carrier aggregation (CA), deliver the additional capacity needed to sustain the traffic surge for the next few years, none of them is seen as a viable solution to support the hundreds

Wireless LANs have expanded greatly and rapidly in recent years. The expansio¬¬¬¬¬n has caused many benefits to the end users but at the same time it has introduced problem of overlapping BSS (Basic Service Set) where BSS (i.e. WLAN cells) is fundamental block of IEEE 802.11 WLAN architecture. OBSS occurs due to two or more unrelated BSSs are used at the same place, at the same time and with the same frequency channel. With the expansion of channel bandwidth to 80 MHz (may be, 160 MHz) in upcoming

A LITERATURE SURVEY ON CHALLENGES FOR EFFICIENT HIGH SPEED COMMUNICATION SYSTEM Pramod Patel1, Amit Mishra2 1. Dept of ECE, MTECH student, VITS, JABALPUR, M.P., INDIA, 2-Dept of ECE, H.O.D., VITS, JABALPUR, M.P., INDIA, ABSTRACT: The demands for high bandwidth & high speed application are growing at a faster rate and with the minimum tolerance of error. To enhance available bandwidth and improve the quality of transmission convolution codes are used on the OFDM (Orthogonal frequency division multiplexing)

SER Performance Improvement in OFDM System over Generalized K-Fading Channel Keerti Tiwari, Bindu Bharti and Davinder S. Saini Department of Electronics and Communication Engineering Jaypee University of Information Technology Waknaghat, Solan (H.P.)-173234, India krt.tiwari@gmail.com, bindu.bharti457@gmail.com, davinder.saini@juit.ac.in Abstract— In this paper, performance metric of orthogonal frequency division multiplexing (OFDM) system is analyzed over a composite fading channel i.e. generalized

INVITED PAPER Cognitive Radio and Networking Research at Virginia Tech A large research team with a wide range of expertiseVfrom ICs and reconfigurable computing to wireless networkingVworks to achieve the promise of cognitive radio. By Allen B. MacKenzie, Senior Member IEEE , Jeffrey H. Reed, Fellow IEEE , Peter Athanas, Senior Member IEEE , Charles W. Bostian, Fellow IEEE , R. Michael Buehrer, Senior Member IEEE , Luiz A. DaSilva, Senior Member IEEE , Steven W. Ellingson, Senior Member IEEE