Towards Green and Infinite Capacity in Wireless Communication Networks: Beyond The Shannon Theorem
Mohammed Elmusrati

TL;DR
This paper proposes a novel resource allocation method in wireless networks that allows supporting unlimited terminals with finite power and achieves data rates independent of transmit power, challenging traditional Shannon limits.
Contribution
It introduces a new system configuration and resource allocation approach that theoretically supports infinite terminals and data rates independent of power, surpassing Shannon theorem constraints.
Findings
Power budget is independent of the number of terminals.
Supports unlimited terminals at finite power.
Data rate can be achieved independently of transmit power.
Abstract
New and novel way for resources allocation in wireless communication has been proposed in this paper. Under this new method, it has been shown that the required power budget becomes independent of the number of served terminals in the downlink. However, the required power depends only of the coverage area, i.e. the channel losses at the cell boarder. Therefore, huge number (theoretically any number) of terminals could be supported concurrently at finite and small downlink power budget. This could be very useful to support the downlink signalling channels in HSPA+, LTE, and 5G. It can be very useful also to support huge D2D communication downlinks. Moreover, and based on the same concept, a new system configuration for a single link point-to-point communication has been presented. With this new configuration, the achieved data rate becomes independent of the required transmit power. This…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Communication Networks Research · Advanced Wireless Communication Techniques
